数据分析——Matplotlib图形绘制

时间:2023-03-08 17:02:18
数据分析——Matplotlib图形绘制

创建画布或子图

函数名称 函数作用
plt.figure 创建一个空白画布,可以指定画布大小,像素。
figure.add_subplot 创建并选中子图,可以指定子图的行数,列数,与选中图片编号。

绘制图形

函数名称 函数作用
plt.title 在当前图形中添加标题,可以指定标题的名称,位置,颜色,字体大小等参数。
plt.xlabel 在当前图形中添加x轴名称,可以指定位置,颜色,字体大小等参数。
plt.ylabel 在当前图形中添加y轴名称,可以指定位置,颜色,字体大小等参数。
plt.xlim 指定当前图形x轴的范围,只能确定一个数值区间,而无法使用字符串标识。
plt.ylim 指定当前图形y轴的范围,只能确定一个数值区间,而无法使用字符串标识。
plt.xticks 指定x轴刻度的数目与取值
plt.yticks 指定y轴刻度的数目与取值
plt.legend 指定当前图形的图例,可以指定图例的大小,位置,标签。

保存和显示图形

函数名称 函数作用
plt.savafig 保存绘制的图片,可以指定图片的分辨率,边缘的颜色等参数。
plt.show 在本机显示图形。

先导入第三方库和数据

import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv('./data.csv',encoding= 'gbk',engine='python')
data.head()
数据分析——Matplotlib图形绘制

绘制散点图

# scatter散点图
plt.figure(figsize=(16,9))
plt.scatter(x= data.iloc[:,1],y=data.iloc[:,2])
plt.show()
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" alt="" />
什么都没有,有点丑。。。。。。先加个xy轴先。
# 图的基本设置
plt.figure(figsize=(16,9))
plt.scatter(x= data.iloc[:,1],y=data.iloc[:,2])
plt.title('散点图')
plt.xlabel('x轴')
plt.ylabel('y轴')
plt.show()
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" alt="" />
中文无法显示,将plt设置一下。
# 可移植代码
plt.rcParams['font.sans-serif'] = 'SimHei' ##设置字体为SimHei显示中文
plt.rcParams['axes.unicode_minus'] = False ##设置正常显示符号
# 旋转45°
plt.figure(figsize=(16,9))
plt.scatter(x= data.iloc[:,1],y=data.iloc[:,2])
plt.title('散点图')
plt.xlabel('x轴')
plt.ylabel('y轴')
plt.xticks(rotation=45)
plt.show()
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txKoMzZ5Mk/e1Bjp04lSRCMK1kCjQAAHBNVte3zoXfHYMzZ7O6vjWhHsGVCcAAAMA1Ob092FM7TJoADAAAXJOD8709tcOkCcAAAMA1WVleTO/A3EVtvQNzWVlenFCP4MpsggUAAFyTnY2u7ALNtBCAAQCAa3bk8ILAy9QQgAEAYJ85GxfaSQAGAKBzmgyozsaF9rIJFgAAnbITUPvbg9ScD6hrm/19uX9n40J7CcAAAHRK0wHV2bjQXqZAAwDQKU0H1IPzvfQvcV/Oxr021lOzn4wAAwDQKZcLovsVUJ2Nu3+anq5O9wjAAAB0StMB9cjhhRw/eigL872UJAvzvRw/esio5TWwnpr91tgU6FLKTUleXWv98lLKQpI/SPJXoy9/Q6313lLKy5I8Mslra60vGn3fNbcBAMDV7ATRJqfVOht3f1hPzX5rJACXUh6S5FeS3DBq+tIkP1JrfekFNUeTzNVan1BK+cVSyi1JDl1rW631L5t4LAAAzB4BdTpYT81+a2oK9Nkkz0ryodHnj0/yHaWUPyqlvHjU9sQkrxrdfkOS266zDQAAmCHWU7PfGgnAtdYP1Vo/eEHT6zMMrY9N8oRSyqMyHB3eWb3+/iQ3XWfbRUopzymlbJRSNu699959emQAAMC4WE/NfhvXMUi/V2v9SJKUUjaT3JLkw0l25i48KMMwfj1tF6m13pnkziRZWlqq+/twAACAcTBdnf00rl2g10spn1VKeWCSpyV5e5KTOT91+dFJ7rnONgAAALiscY0AvzDJ7yT5aJKfq7VulVLem+TNpZSDSZ6e4Trheh1tAAAAcFml1snNDh7tFv3UJG+qtb7vetsuZ2lpqW5sbDT3QAAAAJiYUsrJWuvS1erGNQJ8SbXWD+T8bs7X3QYAAACXM641wAAAADBRAjAAAACdIAADAADQCQIwAAAAnSAAAwAA0AkT3QUaAAC6bm2zn9X1rZzeHuTgfC8ry4s5cnhh0t2CmSQAAwDAhKxt9nPsxKkMzpxNkvS3Bzl24lSSCMHQAFOgAQBgQlbXt86F3x2DM2ezur41oR7BbBOAAQBgQk5vD/bUDlwfARgAACbk4HxvT+3A9RGAAQBgQlaWF9M7MHdRW+/AXFaWFyfUI5htNsECAIAJ2dnoyi7QMB4CMAAATNCRwwsCL4yJAAwAADPMOcNwngAMAAAzyjnDcDGbYAEAwIxyzjBcTAAGAIAZ5ZxhuJgp0AAAtI51q/vj4Hwv/UuEXecM01VGgAEA2LO1zX5uveOuPOL21+bWO+7K2mZ/X+/72IlT6W8PUnN+3ep+/oyucM4wXEwABgBgT5oOqNat7p8jhxdy/OihLMz3UpIszPdy/Ogho+l0linQAADsyZUC6n4EK+tW95dzhuE8I8AAAOxJ0wH1cutTrVsFrpcADADAnjQdUK1bBZoiAAMAsCdNB1TrVoGmWAMMAMCe7ATRJo8psm4VaIIADADAngmowDQyBRoAAIBOEIABAADoBAEYAACAThCAAQAA6AQBGAAAgE4QgAEAAOgEARgAAIBOEIABAADohPtPugMAAHC91jb7WV3fyuntQQ7O97KyvJgjhxcm3S2gZQRgAACm2tpmP8dOnMrgzNkkSX97kGMnTiWJEAxcxBRoAACm2ur61rnwu2Nw5mxW17cm1COgrQRgAACm2untwZ7age4yBRoAgKl2cL6X/iXC7sH53r79DGuMYTYYAQYAYKqtLC+md2DuorbegbmsLC/uy/3vrDHubw9Sc36N8dpmf1/uHxgfARgAgKl25PBCjh89lIX5XkqShflejh89tG8jtNYYw+wwBRoAgKl35PBCY1OSrTGG2WEEGAAAruBya4n3c40xMB4CMAAAXEHTa4yB8TEFGgAArmBnarVdoGH6CcAAADPIsT37q8k1xsD4CMAAADNm59ienZ2Ld47tSSLEAZ1mDTAAwIxxbA/ApQnAAAAzxrE9AJcmAAMAzBjH9gBcWmMBuJRyUynlzaPbN5dS7i6l3FVKubMMLZRS3jNqv7uUcuOo9mWllLeWUr7/gvvaVRsAAI7tAbicRgJwKeUhSX4lyQ2jpucm+a5a65OTPCzJoSRfmuRHaq1PHH3cW0o5mmSu1vqEJJ9bSrllt21NPA4AgGl05PBCjh89lIX5XkqShflejh89ZAMsoPOa2gX6bJJnJfmNJKm1Pu+Cr316kr9L8s1JvrKU8p1JfrvW+n1JnpjkVaO6NyS5LcnhXbb95YUdKKU8J8lzkuTmm2/ev0cGADAFHNsD8IkaGQGutX6o1vrB+7aXUp6V5E9rraeTvD7DwPvYJE8opTwqwxHj/qj8/Ulu2kPbfftwZ611qda6dOONN+7XQwMAAGBKje0c4FLK5yb5f5I8ZdT0e7XWj4y+tpnkliQfTrKzO8ODMgzou20DAACAyxpLcBytCX5lkmdfMDK8Xkr5rFLKA5M8Lcnbk5zMcDpzkjw6yT17aAMAAIDLGtcI8O1Jbk7yklJKkrwgyQuT/E6Sjyb5uVrrVinlvUneXEo5mOTpSR6fpO6yDQAAAC6r1Fon3YeLjEaLn5rkTbXW9+2l7XKWlpbqxsZGsx0HAABgIkopJ2utS1erG9sa4N2qtX4g53d43lMbAAAAXI7NowAAAOgEARgAAIBOEIABAADohNatAQYA6IK1zX5W17dyenuQg/O9rCwv5sjhhUl3C2CmCcAAAGO2ttnPsROnMjhzNknS3x7k2IlTSTKxECyQA11gCjQAwJitrm+dC787BmfOZnV9ayL92Qnk/e1Bas4H8rXN/kT6A9AUARgAYMxObw/21N60tgVygKYIwAAAY3Zwvren9qa1LZADNEUABgAYs5XlxfQOzF3U1jswl5XlxYn0ZxyBfG2zn1vvuCuPuP21ufWOu0yvBiZiV5tglVKeluRMko8nqUlKhuH5AbXW9ea6BwAwe3Y2l2rLplMry4sXbcqV7G8gb+OmX0A37XYX6Jcm+cUk/zTJL2cYgJ+d5GVJBGAAgD06cnihNeGv6UB+pTXGbbkGQDdcMQCXUp6R5GNJ/keSjSTPHP23JPnaWuuLG+8hAACNazKQW2MMtMXVRoAfleSjSW5I8oVJHpjkizIMwA9otmsAAMyCg/O99C8Rdie16RfQXVfcBKvW+uJa649lOAr830f//bvRR6+U8q2llAPNdxMAgGnVtk2/gO666hrgUsqXJHlxhuH3p5L0kjw4yQuSCL8AAFxR2zb9ArprN5tgrST550kem+RZSV6V5NYkf5jkQK31THPdAwBgFrRp0y+guy4bgEdTm+9O8qAM1wJ/RZKDSW5J8vgkf53hOuD/3HgvAQAA4DpdNgDXWs+UUpaTvDrJP0nyyUn+rNb6wlLKE2utPzimPgIAAMB1u9omWB9O8ou11u9M8qdJXjn60p1NdwwAAAD20xUDcJLUWl81uvlJSV5QSvn5JO9utFcAAACwz64agHfUWl9Ya/2yJK9I8vJSyl+WUv7PxnoGAAAA+2g3u0AnSUop/zjDtcAPTvKjSV6T5HVJfrmRngEAAMA+2nUATvLIJN9Ta/3rnYZSyrftf5cAAABg/+06AF9q1+da65/ta28AAACgIbteAwwAAADTTAAGAACgEwRgAAAAOkEABgAAoBMEYAAAADpBAAYAAKATBGAAAAA6QQAGAACgEwRgAAAAOkEABgAAoBPuP+kOAAC00dpmP6vrWzm9PcjB+V5Wlhdz5PDCpLsFwHUQgAEA7mNts59jJ05lcOZskqS/PcixE6eSRAgGmGKmQAMA3Mfq+ta58LtjcOZsVte3JtQjAPaDAAwAcB+ntwd7agdgOpgCDQBwHwfne+lfIuwenO9NoDdD1iQDXD8jwAAA97GyvJjegbmL2noH5rKyvDiR/uysSe5vD1Jzfk3y2mZ/Iv0BmFYCMADAfRw5vJDjRw9lYb6XkmRhvpfjRw9NbMTVmmSA/WEKNADAJRw5vNCaKcbWJAPsDyPAAAAtd7m1x5NckwwwjQRgAICWa9uaZIBpZQo0AEDL7UzFtgs0wPURgAEApkCb1iQDTCsBGACYSs7FBWCvBGAAYOrsnIu7czTQzrm4SYRgAC7LJlgAwNRxLi4A16KxAFxKuamU8ubR7QOllN8spbyllPLsJtoAgO5wLi4A16KRAFxKeUiSX0lyw6jpXyQ5WWu9NcnXl1Ie3EAbANARbTwXd22zn1vvuCuPuP21ufWOu7K22Z9YXwC4tKZGgM8meVaSD40+f2KSV41uvynJUgNtAEBHtO1c3J01yf3tQWrOr0kWggHapZEAXGv9UK31gxc03ZBk5xXg/UluaqDtIqWU55RSNkopG/fee+9+PCwAoCWOHF7I8aOHsjDfS0myMN/L8aOHJrYBljXJANNhXLtAfzhJL8kHkzxo9Pl+t12k1npnkjuTZGlpqTb2yACAiWjTubjWJANMh3HtAn0yyW2j249Ock8DbQAAE9HGNckAfKJxjQD/SpLXlVK+PMkjk/xBhlOY97MNAGAiVpYXLzqXOJnsmmQALq3REeBa6xNH/31XkqcmeUuSp9Raz+53W5OPAwDgStq2JhmASyu1zv7y2KWlpbqxsTHpbgAAANCAUsrJWutVTwca1xpgAAAAmCgBGAAAgE4QgAEAAOgEARgAAIBOEIABAADoBAEYAACAThCAAQAA6AQBGAAAgE4QgAEAAOgEARgAAIBOEIABAADoBAEYAACAThCAAQAA6AQBGAAAgE64/6Q7AADMrrXNflbXt3J6e5CD872sLC/myOGFSXcLgI4SgAGARqxt9nPsxKkMzpxNkvS3Bzl24lSSCMEATIQp0ABAI1bXt86F3x2DM2ezur41oR4B0HVGgAGgw5qconx6e7CndgBomhFgAOionSnK/e1Bas5PUV7b7O/L/R+c7+2pHQCaJgADQEc1PUV5ZXkxvQNzF7X1DsxlZXlxX+4fAPbKFGgA6KimpyjvTKVuyy7QdqQGQAAGgI46ON9L/xJhdz+nKB85vNCKkGlHagASU6ABoLO6NEXZjtQAJEaAAaCz2jZFuUl2pAYgEYABoNPaMkW5aeOY7g1A+5kCDQDMvC5N9wbg8owAAwAzr0vTvQG4PAEYAOiErkz3BuDyBGAAoDWc1QtAkwRgAKAVnNULQNNsggUAtIKzegFomgAMALSCs3oBaJop0ADQYl1aE+usXgCaZgQYAFpqZ01sf3uQmvNrYtc2+5PuWiOc1QtA0wRgAGiprq2JPXJ4IcePHsrCfC8lycJ8L8ePHprZEW8Axs8UaABoqS6uiXVWLwBNMgIMAC11ubWv1sQCwLURgAGgpayJBYD9ZQo0ALTUzlTgruwCDQBNE4ABoMWsiQWA/WMKNAAAAJ1gBBgArsPaZr9VU5Tb1h8AaBMBGACu0dpmP8dOnDp3Vm9/e5BjJ04lyURCZ9v6AwBtYwo0AFyj1fWtc2Fzx+DM2ayub+kPALSQAAwA1+j09mBP7U1rW38AoG0EYAC4Rgfne3tqb1rb+gMAbSMAA8A1WlleTO/A3EVtvQNzWVle1B8AaCGbYAHANdrZWKotuy63rT8A0Dal1jrpPjRuaWmpbmxsTLobAAAANKCUcrLWunS1OlOgAQAA6ISxBeBSyneVUu4effzXUsrLSinvvqDt0KjuhaWUt5VSfuaC791VGwAAAFzO2AJwrfWltdYn1lqfmOTNSX4+ySt32mqtp0opj0lyW5LHJfnbUspTdts2rscBAADAdBr7JlillIUkNyVZSvKMUsqTkpxK8twkX5HkNbXWWkpZT/L0JB/cZdsb7/NznpPkOUly8803j+fBAcCMW9vs22QLgKk1iTXA/yzJS5O8LclTaq2PS3IgyVcnuSFJf1T3/gyD8m7bLlJrvbPWulRrXbrxxhsbeigA0B1rm/0cO3Eq/e1BapL+9iDHTpzK2mb/qt8LAG0w1gBcSrlfkicluTvJn9Ra3zv60kaSW5J8OElv1PagUf922wYANGh1fSuDM2cvahucOZvV9a0J9QgA9mbcwfHLk/xBHZ699KullEeXUuaSHEnyx0lOZri2N0keneSePbQBAA06vT3YUzsAtM241wAvJ3nT6PYPJXlFkpLkP9Za3zgaIT5eSvnJJF81+njXLtsAgAYdnO+lf4mwe3C+d4lqAGidLWbmAAAgAElEQVSfsY4A11q/r9Z6YnT77bXWR9VaD9Vanzdq+3iSp2S4S/TTa63v3G3bOB8HAHTRyvJiegfmLmrrHZjLyvLihHoEAHsz9l2gr6bWOkjy6mtpAwCas7Pbs12gAZhWrQvAAEB7HTm8IPACMLXsngwAAEAnCMAAAAB0ginQAMy0tc1+q9astq0/ANAlAjAAM2tts59jJ05lcOZskqS/PcixE6eSZCKhs239AYCuMQUagJm1ur51LmzuGJw5m9X1Lf0BgA4SgAGYWae3B3tqb1rb+gMAXSMAAzCzDs739tTetLb1BwC6RgAGYGatLC+md2DuorbegbmsLC/qDwB0kE2wAJhZOxtLtWXX5bb1BwC6ptRaJ92Hxi0tLdWNjY1JdwMAAIAGlFJO1lqXrlZnCjQAAACdIAADAADQCQIwAAAAnWATLAC4wNpm3yZVADCjBGAAGFnb7OfYiVMZnDmbJOlvD3LsxKkkEYIBYAaYAg0AI6vrW+fC747BmbNZXd+aUI8AgP1kBBiAiWrTlOPT24M9tQMA08UIMAATszPluL89SM35Kcdrm/2J9OfgfG9P7QDAdBGAAZiYtk05XlleTO/A3EVtvQNzWVlenEh/AID9ZQo0ABPTtinHO1Ov2zIlGwDYXwIwABNzcL6X/iXC7iSnHB85vCDwAsCMMgUagIkx5RgAGCcjwABMjCnHAMA4CcAATJQpxwDAuJgCDQAAQCcIwAAAAHSCAAwAAEAnCMAAAAB0ggAMAABAJwjAAAAAdIIADAAAQCc4BxiAqbK22c/q+lZObw9ycL6XleVF5wgDALsiAAMwNdY2+zl24lQGZ84mSfrbgxw7cSpJhGAA4KpMgQZgaqyub50LvzsGZ85mdX1rQj0CAKaJEWAArqhNU45Pbw/21A4AcCEjwABc1s6U4/72IDXnpxyvbfYn0p+D8709tQMAXEgABuCy2jbleGV5Mb0Dcxe19Q7MZWV5cSL9AQCmiynQAFxW26Yc70y9bsuUbABgugjAADOgqXW6B+d76V8i7E5yyvGRwwsCLwBwTUyBBphyTa7TNeUYAJglAjDAlGtyne6Rwws5fvRQFuZ7KUkW5ns5fvSQEVgAYCqZAg0w5Zpep2vKMQAwKwRggCnXtnW6bTo3GADgQqZAA0y5Nq3Tbdu5wQAAFxKAAaZcm9bptu3cYACAC5kCDTAD2rJOt23nBgMAXMgIMAD75nLrjid5bjAAwA4BGIB906b1yAAA9zWWAFxKuX8p5d2llLtHH4dKKS8spbytlPIzF9RdcxsAk9em9cgAAPc1rjXAj0ryylrr9yZJKeUxSW5L8rgkzy+lPCXJB661rdb6xjE9DgCuoi3rkQEA7mtcAfjxSZ5RSnlSklNJtpK8ptZaSynrSZ6e5IPX0SYAAwAAcEXjWgP8tiRPqbU+LsmBJL0kO4dCvj/JTUluuI62T1BKeU4pZaOUsnHvvffu76MBAABg6oxrBPhPaq0fGd3eyPkQnCQPyjCIf/g62j5BrfXOJHcmydLSUt2vBwJwLdY2+1ld38rp7UEOzveysrxomjAAwJiNawT4V0spjy6lzCU5kuEo7m2jrz06yT1JTl5HG0BrrW32c+zEqfS3B6lJ+tuDHDtxKmub/at+LwAA+6fU2vzgaCnli5K8IklJ8h+T/ECSN2c4GvxVo493XWtbrfWdV/r5S0tLdWNjY98fF8Bu3HrHXelvDz6hfWG+l7fc/uQJ9AgAYLaUUk7WWpeuVjeWKdC11rdnuBP0OaMdnb8myU/uBNjraQNoq9OXCL9Xam+a6dgAQFeNaw3wJ6i1DpK8er/aAK5Hk6Hw4HzvkiPAB+d7l6hu1s507MGZs0nOT8dOIgQDADNvXGuAAVqr6TW6K8uL6R2Yu6itd2AuK8uL+3L/e7G6vnUu/O4YnDmb1fWtsfcFAGDcBGCg85oOhUcOL+T40UNZmO+lZLj29/jRQxMZcW3bdGwAgHGa2BRogLYYRyg8cnihFVOM2zQdGwBg3IwAA513ufA3yVC4ttnPrXfclUfc/trcesddMzkdGwBg3ARgoPPaFgqbXJPcpunYAADjZgo00Hk74a8tRwNdaU3yfvSpLdOxAQDGTQAGSLtCoY2qAACaYQo0QMu0cU0yAMAsEIABWqZta5IBAGaFKdAALdO2NckAALNCAAamwtpmv1OBsE1rkgEAZoUADLTezrFAOzsj7xwLlERIBABg16wBBlrvSscCAQDAbhkBBlqvjccCdW1KNgDALDACDLRe244F2pmS3d8epOb8lOy1zf5E+gMAwO4IwMC+WNvs59Y77sojbn9tbr3jrn0Ng207FsiUbACA6WQKNHDdmt6kqm3HArVxSjYAAFcnAAPX7UojovsVUvd6LFCTa3QPzvfSv0TYndSUbAAAdscUaOC6tW1EtOk1um2bkg0AwO4IwMB1a9smVU2v0T1yeCHHjx7KwnwvJcnCfC/Hjx6yCzQAQMuZAg1ct5XlxYvWACeTHREdx4j0XqdkAwAweUaAgevWthHRto1IAwDQDkaAgX3RphHRto1IAwDQDgIwMHPadmwSAADtIAADM6lNI9IAALSDAAwd0eS5uAAAMA0EYGiJJgPqzrm4O2tid87FTSIEAwDQGQIwtEDTAfVK5+JOKgAbkQYAYNwcgwQtcKWAuh/GcS7uXuwE/v72IDXnA//aZn8i/QEAoBsEYGiBpgNq287FbTrwAwDApQjA0AJNB9SV5cX0Dsxd1DbJc3HbNiINAEA3CMDQAk0H1COHF3L86KEszPdSkizM93L86KGJrblt24g0AADdYBMsaIGdINrkplB7PRe3yU2qVpYXL9r0K5nsiDQAAN0gAENL7DWgNqnpXanHEfgBAOC+BGBmiqN19sc4jk1qU+AHAKAbBGBmRtOjll0K1zapAgBgFtkEi5nR5NE6XTu31iZVAADMIgGYmdHkqGXXzq1t27FJAACwH0yBZmYcnO+lf4mwux+jlm2cEtzklGybVAEAMIsEYGZGk0frNBmur0XT65137kfgBQBglpgCzUXWNvu59Y678ojbX5tb77hrqta4Hjm8kONHD2VhvpeSZGG+l+NHD+1LiLuWKcFNXsuuTckGAID9YASYc8Yxqti0pkYt9zoluOlr2cYp2QAA0HYCMOeM4+zXaT5KaC/huulr2bYp2QAAMA1MgeacpkcVu3SUUNPX0i7NAACwdwIw5zR99muX1q02fS2bXO8MAACzyhRozmlyF+Xk2kZFp3XKdNPXMrFLMwAA7JUAzDlNn/2613WrTW8k5RxdAADollJrnXQfGre0tFQ3NjYm3Y3Ou2+gTYajopebunvrHXddMjAvzPfyltufPNa+AAAA7VVKOVlrXbpanRHgKTOtU4KTvY+KNrmR1Dh2vAYAANpFAJ4iXTunt8mjfpyjCwAA3TO2XaBLKZ9aSnl9KeUNpZRfL6U8oJTy7lLK3aOPQ6O6F5ZS3lZK+ZkLvndXbbOuS7soJ80e9dP0Ls0AAED7jPMYpG9K8uO11qcleV+S25O8stb6xNHHqVLKY5LcluRxSf62lPKU3baN8XFMTNdGLZs86sc5ugAA0D1jmwJda/3ZCz69McnfJHlGKeVJSU4leW6Sr0jymlprLaWsJ3l6kg/usu2NF/68UspzkjwnSW6++eZmH9yYXMuU4KbXDDd9/00d9WOXZgAA6J6xrwEupTwhyUOS/Kckv1RrfW8p5eVJvjrJDUneMSp9f5Kbknxsl20XqbXemeTOZLgLdCMPZsz2erbsOI4RmuY1yc7RBQCAbhnnFOiUUj4tyUuSPDvJn9Ra3zv60kaSW5J8OMnOcOaDRv3bbdvM2+uU4KbXDHdtTTIAADDdxjYCXEp5QJJfS3Ks1vquUsqrSik/kuTtSY4keXGSjyb5x0n+Q5JHJ7knycldtnXCXkYtm14z3LU1yQAAwHQb58jptyf5kiTPK6XcneRPk/xqkv+a5K211jcm+d0kh0spP5nRJll7aOM+mt7p2E7KAADANBlbAK61vrTW+pALdn1+Ya31UbXWQ7XW541qPp7kKUnenOTptdZ37rZtXI9jmjS907GdlAEAgGky9k2wrqbWOkjy6mtpm0ZN7qLc9E7HdlIGAACmSal1JjZIvqKlpaW6sbEx6W58gvvuopwMR1D366xbAACALiilnKy1Ll2trhO7J7eVXZQBAADGRwCeILsoAwAAjI8APEF2UQYAABgfAXiC7KIMAAAwPq3bBbpL7KIMAAAwPgLwhB05vCDwAgAAjIEp0AAAAHSCAAwAAEAnCMAAAAB0ggAMAABAJwjAAAAAdIIADAAAQCcIwAAAAHSCAAwAAEAnCMAAAAB0ggAMAABAJwjAAAAAdIIADAAAQCcIwAAAAHSCAAwAAEAnCMAAAAB0ggAMAABAJwjAAAAAdEKptU66D40rpdyb5F2T7sdVPDTJ36mfSH2b+qJe/Tjr29QX9eqvp75NfVGv/nrq29QX9eqvt37cPqfWeuNVq2qtPlrwkWRD/WTq29QX9erHWd+mvqhXfz31beqLevXXU9+mvqhXf731bf0wBRoAAIBOEIABAADoBAG4Pe5UP7H6NvVFvfpx1repL+rVX099m/qiXv311LepL+rVX299K3ViEywAAAAwAgwAAEAnCMAAAAB0ggAMAABAJwjAM66Usqf/xy2sL9Na38JrqX666pv83Wz630nbrqV69ePqS2teg66lftq17Xq2qb5NfWlpfWuep66xvm3Xs9XPVQLwjCqlPDJJaq0fn9L6zxvV72qXtjbVt/Baqp+u+keXUsoefjd3Xd/kfY/q23Yt1asfV19a8xp0jfWfvZu6Fte37Xq2pr5NfWlpfWuep66xvm3Xs9H6fVNr9TFjH0kel+TNSXpTWv/4JGtJHjht9S28luqnq/4xSf4wSS/Jgf2sb/K+W3ot1asfV19a8xp0jfW3JfmFKa5v2/VsTX2b+tLS+tY8T11jfduuZ6P1+/nhGKQZUkr5V0kWknx+knckeWeSj9Raf25K6r9lVP/lSd6U5HSSj9VaX9n2+hZeS/XTVf/8Uf1nJfn7JJtJBkl+sl7iSXov9U3e95iujXr111TvNeuq9V89qn9mkn+f5P1JUmt97ZTUt+16tqa+TX1paX1rnqeusb5t17PR+iaYAj0DSjk3b/7vk/yDJP93hn+wfluGf7xOS/3nZfhu0GqSz0nyXUn+uM31Lb6W6qeg/gJ/keQzkvyTJH+U5NlJ/rjWWi+4z2utb+S+23Yt1aufQF8m/hp0rfWllE9K8rVJvibJy5N81ehx/8k01Dd9faa1vk19aXn9xJ+nrrO+bdezkfomCcAzYPSH6VckeXqSezP8R3Q4wz9ev7GUsrRTW8pwPV8L6x+f4ZTLjQx/Lx+Z5K+SfG0p5QvaWt/Sa6l+SupH/31qhmHzk5M8NcMXhbuTfFsp5ck7o66llLm91jd53227lurV5wJj6EsrXoOutT7JFyZ5WJITSd6V4R+k703yj0opn9P2+rZdzzbUt6kvbaxPZuZvtlZcz3H8/2qSADwDSimPS/L8JN+X5GNJfibJqQz//z48yS2juqclWWph/T9K8rwkx0dff0mStyY5kOTLMhyNSinlSUkW2lRfSnlGy66l+umqf3SSH07y3Um2kvxsknuS1AxD6NKo/muSfM0e6/9Zg/f9NS28lurV79R/a8N9ac1r0DXWPzXJC5K8LMmTkvxEkjckeWCSb8hw3X9KKbcleUAL69t2PVtRn+SJpZRntqEvbawvpXx2y56nuvjcs6f/X2mQADwbviDDd0w/I8lchv+AFpP8bZKfTvKwUVD74VFb2+pvTfLRJB/M8Hfy1zN89/evk/xyks8vpXxtkh9PUlpWf0vLrqX66aq/KcnvZzjSeiDJ92c4EvK/Mpwa9OAyXBd3e4Yvinup/0CD932qhddSvfqd+k9vuC9teg26lvqnZejdST41ye8leUSSt4++91Ap5etG1+GhLaxv2/VsU/1jW9SXNta36Xmqi889e61vjE2wpkwZngv2DUneVmv96wvan5vhH64vzHCk5ruTbGf4jtLnZ/hL9rKd75lw/T9M8uokL7+g/ocznPbx9UmeleH6hw9kOPr0sCS/k+Tna63vmHD9wSQfTvJfkvz7Wus7puzaq598/esyHF1952g60DMy3AjidUnmM1wD9N8yfPL/kiT/LskvJbnnKvUPS/IpSX4yyRtqre/cx/veqX9ZklfUWt/ZkmupXv12hm/eJMmrkvx6rfWvvWZdVH9wVP8LF9S/aPR4/7ck35Hk6zKccvzgJA/KMHy+pNb6Vy2on8/wTbefuKB+mq5/k/WfmeR/JPndnP+bZFr6Po76z8lwk6WfvqB+Wp7XZuG5Z6/1B5K8LaPf5TSpjnnbaR/X95Hhu0XfN/rvQ5L8Xxd87bsz/OP3i0eff1qSF43aHtmS+uMZTm/6/CQ3JvmnF9TfkeTOJE8Zff55Gb4b9uMZjkRNuv5pSf5Tkq8e1U76WqqfrvofyvB3/1CGQXUlySeNvn4kw2lQjxl9fr8k35vhO8BftIv6f5jk1zJ8Mdnv+75fkmMZ/luZ1ucd9bNb//gkv5lhcPq0Bvoyza9Zn5fk55L82Kj/D03yzAvqVzN8A+z/yPAPz6Ukrxy1P7Il9f8uyb/O8HmzDdezTfVfneHfJF+V4a7909T3cdT/1Kj+UCb/PNXF55691j9/9FiveuzifnyYAj1FSik3ZLgj67tqrX+e4Tz6+VLKJ5dSFmutP5XhuyjfPfqWWzN8F/XPa61/1oL6L89wof9GrfUvRvU3jeo/pdZ6e5L3ZPiuUDJ80vrSDEe7/3SS9aNr/52j73trhgFimq69+snWf1mGR3u8p9Z6KsM3sR6Y5H6llCfWWtdG9c8d1S9n+K7ou2utb79SfSmll+GLyc0ZzkzYt/se1T89ybck+dMpfd5RP6P1o+fl78lwlPCtGf4ue806X/+oDEda7h71/wVJbiylfHKS1FpXMtx85gtqrWcyHK25Ocldo+sz6frPznBToD8cPW9O+nq2pr6U8uAk35zkTJI/yPBvkqno+5jqvzDDf79/fsHvzlQ8r43qp/25Z6/1/yDD2Qz/bfRvv3EC8HS5I8O1AR8rpfxGhscF/E2SV2Q4zSO11h9M8qFSyvck+ZEMpy9+oCX1L0ryP5O8o5TyiiRPSfLnGR6C/ZhR/Q+N6r8xyY8m+UiSeyZdn+Q1GY40/FaG6xQmfS3VT1f9izJc41JKKW/McJR1O8kvZLTBS631JUn+vpRyPMM/DP+/JPVq9RlO77olyX/OcLRk3+57VP/8DM/o++8tuZbq1f9ghs/Lv53hmscTGf7+es36xPoHJNkspfxCkttG9a8vpdyaoR9PklLKkzMcKX5gkj9pUf3Hk7y7RdezFfUZ/k3ypAxHzH9mmvo+xvr3jz6fque1GXru2Uv9NyX5N7XWD2RMrAGeEqWUl2X4j/nlSf7f/P/tnXm8XdPZx7/PTYJEIiEiFCFBzUrMU8yUqrnmKlW8Zm3NM1VVfVFDDTXPWlFzqZlqDTVTNbcIr5maYgjP+8dvHXfnOPfec+Kee9a+9/l9Pvtzpu/d99lrr2mv9axnqTP9d+ARFEp8arRu5mjgO2i05QXgnEz4A1Cn+1bkevkE8CDac/Q+tMZwU+QC8oN0PJsJfzOqqE5K6d/qtAy+XPzBKP8cjvLbG6jj/hDKdwPRqO9hyB359ygYzGF18GcC/ZEL8zXdfO4K/xxa+5tDWgYffIX/I3oQOAk4vwm2lLnN+gGwEYrm/gwqzw+m42VU3ieirc7OBfZF7sb/yohfquTp30z+LyhC/5VowKBMtvcEvxnwb/Kop/pi3dMo/wzwpLtPpAfVvyf/WWjKZNoD7y53P9/MjkcjqOcjd6LlkM/8qsBp7v6pmX0AXO/uv28S/2GDfD/gb+7+v2Z2Gupk/xmNDo1BAS42RIvkJ5nZy8C97n5snfyEZvHArKijdQlqtMuW9s22J+zvnJ+Agjn8wTSbOhB1WMYB30cj+IsBv3P3D03uzOe5+/iueBQxcjxwfcqb9Zz7fHe/vE5bZgGucvezSpr2Zc87YX8HPHKVux7Vy0c2wfbStlmJ/wB42t0PNrNz0TZmDwGPoYBYC6JlEGe6+xdm9iQwJCP+HrRl6zElTf9G+brtR3EbbkJru48pk+09ZM8TwFB3P73V9VQfrXsa5W9AZb1HH34hZoBLo1QozkZR0j6lfZ+wnVAEwO3c/Skz65cakAFodqhevj9yIWvW+fuhyLczoJDvb6NRoO2A11AwgMer7PldA3yj5x+ARqa65NMtKHvah/2ttf9C5MExEK3TbQN2Tq+buyJ3trn7l+n859fDo4fguth07jbkJl0v3xvSPuzvhfaj+jrarI75NhRAZ24UIXgI0uZodmwfd3+wB/n+aMCtXr7s6d80+1O6ldL2Hkz7stebZU//us9Pi9TWqn8calizoxHvg1EGugt1Yj9A+2l9lrjB6XVWtF71oC74SmU6W1e8mR2E/PQr57+hq/MXMvdY4LbEv43cNSck/jnglcRNnV4Xq5OvjOB0eX4z2xONPAEsCtzR1fmT/WVP+7C/tfZPgyI0H4LWAD2OGsFPkRfO0MQNS69TIa+DDnkzm9bdv0xsp+c2s0OBXU0zwAO7Oney/ctekvZhfy+z38ymSuePNqv2+Stldy3kbngoci++CLklfoj2+34kcf0a4QsPv13yZvajxIHcmx+o5/xlTv9m2p8GJr8oo+09nPZlrzfLnv512d/Kh1+IGeBSyMzM3d3MDGWox1Hh2QdFvVwLdWCfQZHmjnH3iYk/DLkavVuD/w/afPv81Kh1xq+RvhsJXOju5yb+SLRnV63zn1bM4KnRPBr4K4pcuCtwAnLBfAJVBPOgkTJDDfkxaJaqFj8R+Nzdb0kjYJ3xiyV+DuR6cUGy51hUUCfVOP+VIN+MsqZ92fNOL7C/v8vNx4A90Wjoy+l/7QSsC4xGjctGwL7u/t/E74PW8L1Sxa8OPAkc6+4fd8Fuk651IvCIu/+uwD+DGqVqWw6p2FzytA/7e5/9c6G1ZOdFm1W7zfLUqTOzqRNzPHoYmAbtInERWl97JXLHHOzuV5siMX/eBT8d2jP86Tr42eCrPYhPdy0D6Ydmja+tdX53v4eCypz+TbB/AHBnSW3vsbQve71Z9vRvwP7J+JbIe2CvpTim/AD6p9eZUWEdifzo7wVWQhn/cORa8CCwfOFvByR+dA1+RzQys1KBb6vm0/e3psOQS8MdyGWDxM9dxR8OzFdl/wi0V+kYtA3C3SjMu6GF8NugEeBlC/YM7IT/CQqAMq7AT1XNp+/vBm5M72dK9m+bPo8B5qziT0QVS29J+7C/Nfb3S6+zoUjLQ1AH/h603taA3VAn8H5ghYI9Vs2n708F3gJWrqonarHXocZtDjRSfA5yde6X+EpaVvjd0PYjvSHtw/5eZH/6/mLUcYw2q4M2q8r+GYDhaCuk2dI5lk/2XIC20HkCWKZgz9BO+B+jTvGKBX5wNZ++fwC4Or0fjdasbpU+L4LqpCJ/ATCml6V/t9ifvr8azZSXyvYWpn3Z682yp39N+6v5Vh8tNyCOTm5Oewd6NNqmZNP0eRja+qEyg78miig3Ln2eDRhWOM8w5JJQ4b+PRr9WSp+t6v8OA8am9wcDt6fX9VIhmyV9V7Sn2Ii21bD/Q2Cd9Hl+tKWQpWOdKvtnQQEzKPBLFfgNurB/fmCp9P4Q4Ba0XqPS2I5KhXrTAr9c5VzoYaE3pX3Y3zr750QN5/YFZrGCPWtU2T8HMKLKpoXS67q1bC9eQ4E9EI28bg1sixqj6VA5+CHtDdVivbzeCftLbn9neb/Jtpeqzaph/0TUCe6PBtyWS2y/lBf+TnundAQwKL2v8MsX+I07sr/Ip8+HowfeW4B503fzod0UNkyfVyn8735oFrq3pf83tr+Q958tm+0tTvuy15tlT/+v2V/N53C03IA4Orgx7ZlpDuR6cXgH3BrA36oK8z8qmTV9N3d6NVSZPkWaQSoU8n4F/tvp9VcoZPtuaFuCw4At0m8Hotmm7Qp/19aJ/UfUsN34+gPA7Gj0bO0CN2OhMNdj/4j0+kvkarU1cvE8B1gz/bZb+r/b1LC5t6V92N9a+w8r/r8u7H+y6rxLptd10RYiNW1Ho9GVRuZYtFf1wWgvwW2R+9EsqHN6KQpCMVlZ7KVpH/aX3/5os7zzNquG/f8Gjqy+TlRPrF5l/yi0N2dxZrcSZKxi/9Nd2F/530ehDvT3gC3S+8XSbz9B7pPFe9y/l6b/N7a/gbyfne0ZpH3Z682yp39N+2vdk1YeLTcgjho3ZfLM9DJak1f5rVhoxiE3jpXS59nR4vrdC8yfgJ3T+5XQAvyKy2OtwnAzWqu4NXBP+m5ZYAdgtVRILka+/aPRPqJ7TKH9q6MgGuOq7N+zwFwNbF3gJ3Rh/22ow789cHv6bmu019iyaL3RhahCmhM17D/pg2kf9rfW/uWQC1PR/juB3QrM5cB+yYa3u7D9RjR6+33gtvTdTGid0frpGi4GTkZr8p5DwWgG98G0D/tLYn+GtmfXZjVo/3dRR7za/r0KzPXA+un9OuhheuVO7L8TxS/YGW13Mi3q/K+FZt7uQp3pnyNPlLuBLfto+tdtf5ltzzTty15vljr9czxabkAcVTek3TWxy8yEXBkrM0SjUmbeo/D7RcDvC583LPC1CsOfgEvS++nQyNIOaNT4BNS5njYVhDbUgb4UjR4Pa8T+9Pf7ktYwJPtvr7L/QrQvIGg0a3cKrhc17L8CuDS9nw89QGyI1juORxXarMgFtQ04IqXRTcgtpU+kfdifhf1rAIsW7L+zyv6LUfAJgCVon0Vp68D2i9P7wahR3jV93ovU2UR53FDn9MJ0XdP3wbQP+0tif062k2ebZdTRAWJpkk8AAB04SURBVK1wpH2/O7H/AuT+WOF/zdeXXBTtHw9clvjV0FYsSyJvkzuBhdGa39WS/Ucn+68v2F/29O92+8tse45pX/Z6szekf45Hyw3oywftjdMCaDSnkknHIDeCyTJTgV+QwjpB5PLwNJOP4l4CnFrgRxZ+q1UYrgIuSO8XQdEhZwD+AvwIBRX4TYE/FTg5vZ8LdbyL9r9Yw/7K73NX2TEC+CeTj2QV7Z+b5JJVp/1zo3W886SCvB4aed6nwJ+CZsPKnvZhf2vtXwxYpPDb3B3YX/m/Y0nr4tLn6fn6KO4l6X+MRetn2uq0fUk0uzsDmhHeHjXMZ9PeST4NOKmXpH3Y30vtT+xM1J/3+0ybld7PWrExvY7uwv7Zq/iZgcc6sX/2qnvXlf2zoKjOq6KH4KWBFUiBrxJzMu11T9nTv2n2J1saSftsbO+htC97vVn29K/L/sr7nI+WG9CXj5SRVkL7g82RvpsJeB74RYFrq8HPWXWuYgTZSkXaGf+1wlDFVwrdcLSO50rSukE0QnkcGh1aJfHD02+zopGgI2rYX+RnLPw+FbBaDftr8p3YPytqgL/iU6G+HK1t2Dd9dxZ6KKhc6+gSpn3Z807Z7Z8f5c2bgIXTb9Oj9TZH17C/yC9SZc/iVfZf0glby/biuccWbL8VuR5WZoDP6CVpH/b3XvsvarLtZW6zjkczL6uhAa6B6bdRwP+RYg1U2V/kpy18PzvwvRr21+Q7sb/IT4WC/qyCtjq6Cjioyv6yp38z7T+/xLb3RNqXvd4se/o3ZH8ZjpYb0BcP5DowGHVQX0WuGMuiUaNvAd8tsG2d8N+qce6LUmHokKewGB25cVzQAT8qMUPR4v790JqG41A49yvRyNsdqSAMQqNnmxftT6+1+CE17L842d8hz+SN8pXJ/iJ/JwpuMF1i5kSd/52T/SeVPO3LnnfKbv8AFGH5ddQYbI5GTAcy+bYEFftr8fPVsP9C4PSO2A5sr3XuSiToYcjNaT+039/xvSDtw/7ea//vm2x7mdus49BMzblokO022r06VgT+p4b9Nfka9lTsr5ev2F/kby/YM02y6WgUPfroXpL+zbT/3BLb3hNpX/Z6s+zp35D9ZTkqU9ihHlJhk+6Fgb2BR9EIyorA4+5+ZoHtD3zRCf+Yu59V4M9BGXDbOvnxwJfuvmlHPHB2+v/D0ajQcHef18yWA/ZAATU+Q+6a4939Lx3YXw9/PjDJ3bevk78KmOjuW3TFm9k8qOBPg/ZQK3Palz3vlN3+uYD9UXCYe9G2Cp+5+6GF8/fztKl9nfwZ6AH6iDrYy4AB7r5xR+dGI7JfmNkMaGZhVncf2wvSPuzvpfajjla0WTXaLHdfzMzWRoGkrkMd8PmBo9z9X4Xz90vp4x3wv3D3pwr8RcDH7r5jnfy1wH/dfevO7DGzAcgF+nD0ADGuF6R/0+xHHmmltL2H0r7s9WbZ078u+919EiVSW6sN6IPaxMzWQCN+76NR1EkoKuw/zWzh9DspM9XNo9Gp6xvgrwUu74wHFjaztd39bbQ24D0zWxfNJr2NXD5eTvy7Zragma1QsP+7ZrZiB/w7Fd7MDI2kja+TH4Rmvi6og1/R3Z9N6fMGKthlTPsPzWyTEuedstv/kZltg1yEJqLAETMl/hYzm9/Mtkj2f2FmW5rZBh3wNxd54JV0DfWwFwBXdHZuYF4z28bd30FRHjGzH5Q47cued8L+ju15nfZZsGizJm+zdgYmmNlaKKjNM8AnKBrscsAgM5vXzBZP9n8BLGlmy3fFm9kw4CHgrDr5WYAngJO64OcDFnD329M1/p+ZrV7i9H/T9LDfDPvfRFvWldH2nkj791I7V9Z6s+x1T6P5p1zyDKah+9KBoh8+jtYtrI1G/h5BEeNmQCNK79G+gXy9/JgG+Tkb5BdCC+tvSt89DWyJZpfuSX87E9pT7QW0PqIRfrYG+Vka5OdO1/pEGdO+7Hmnl9g/HngW7cc7DrkJPYMiJ1Y6k++jzl8j/HwNsN9u8Nzf6SVpH/b3UvubaTvlb7NGJv5xVKb3Qm6bt6JI8rOgfU1vR+6gI9F63Hr4YQ3y0zXIj0x/c1uJ078fWtPZDPtHldj2pqd9Kus3UNJ6s8HrzS79aTD/tPrZakqO/oR6RNbuHvAf1HD8Ga0VWARFgR2NXAx+hjoFX6Q/rYefi/bZ/Hr5/g3wY4CPgS9Rp/pvaJZpKLB44qdBaxh/gaLsfdgAPwL4vEH+ywb4kYkra9p/0iAf9nev/RMTfx9q+P6EAl7NhxrE5YBd0X6AC6F1ufXyCye+3nMPbNAWK3nalz3vhP0d8/MA3kTby9xmjUjch6gMX4kizA5DM6+3oI72uSjQnQEfpPTvVwffltgPGuC9QX5i4t9B6wzLlv4fJP49NHvWnfbPhMpWGW3vibT/COkF4AHKV2+Wve5pNP98QAkVLtBNVnJVAGUY0CbwL6IIiwejPTn/jhab34dGSycgP/t6+ZebzE8APncNgd2FRoOGoX3J9kWVwtmoA34j8F+0P1i9/HsogEaz+I9RhVHWtG8mH/Z3bU+lDD+CXJWnQRX/MWgmdlfUUN+N3KAm1sO7+1+Bl1AE13rP/XGDtrxX8rQve94J+zvmX0cdsmizavP93f3jdG0PoI7p7un4FK29PRftLfoxMKgB/qMp4AdOwfnLnv7Nsv9jlJ/LaHtPpH0/pLLWm72h7mnE/s8poeIBuMlyd0/rdy4xLXK/zrWwfjpUcP4N7Ag8jEZKN0t/ekpG/CRU0AH+5O6XoVGu+9Do0AbAcyg/LYVGs45okD+ySfxuKDLuB5mkZfDl4h04wcwGu/vN7n4S6uzdhUadD0GN4nMoKMZA4Lh6eDM7E9gJ+KSBcx/fgC2D0Hq9XNIy+OAr/C+B7VDnKdqsr/P/BXZJ/KXufg3aW/dhd/8zCrrzOnJtnAl4Cz2INpPfowH+HeCoEqf/lNhTL78zsLq7v1dC23si7T8BTs2knuqLdU+j9lzr7u9SQkUU6CbLzFZGD2GHAe+iiIvvmdnMKILiGDRaegdanzozilKcE/9j4EAU8v1zd//IzEYDx6KRsInA1en1M9SxyYEfjVw2DsgoLYMvDz8SBZA6AOldd3/TFDxmK7T1wQdoNuR6YAmUN+vh30ns3k049/XAksCPMkrL4IOv8FMB69DcermsbVaF3wHYBy1zwN0/M7N50Z6cnyfuQrQW8NkM+dzSMxd+NBo42DsDW3Llf0ge9VRfrXsa4W9397coqzyDhci97aB9U+mFgfvRWqdxKFjE9AVuIJql2RJVjLnwmyZ+0QK/EtqncUiBnx5FhdscBQDIgZ8HWB9YPpO0DL5c/DZoT9+F0bZCS6LN4scDIxI7ALlFG3r4XKJOfhYUGXKTJpzbUDlZNKO0DD74Cj87ChTz3SbZUuY2aziqE2ZAA7Z/R0FoVgVORK7EFX5mtE/nZqjs58Jvlfhc0jMnfg7UJxmXgS058lsnPod6qi/WPY3y6wMzVL4v8xEzwE2Qmf0IuS+9AryGCtK7wDau0aOlUEfgeORKcTkqTP/JgJ8BbeL9DnJFeQ0t9C/yS6KG8Sw0AnZu+v3TDPi90Abk96O1GmVK++Bbz/8B5bl/AE+hfDUJ2NbdX0/81hRchFDnsB5+I+AEFITi4W4+N8BVaD/Of2eSlsEHX+G3Ry769yc+2qx2fh4UOOpxtK52QjrHJODH7v524udw9/FmNhY4iXYvlVbz3wFORmsHP88gPXPiz0N9kv9J6fliiWzvCX4Uiiw8KKVNq+upvlb3TMn9OhTY193foOxq9RN4bzyQu9AbqFAvDTwJ3JB+mxdFT1w5fTbkIp0T/2u05mdI4v9Vxd9S4IcC/5sRvwfaWy+XtAy+XPz3UYdvYOIfBa5Iv38HRX9cpcB/rx4+sWs049yFemeXzNIy+OAr/A40t14uc5s1FLgMBcMbDqyZrveS9Pt8KLjOSunz7KjTnRN/fGbpmRP/G7SHag625MjvST71VF+sexrlv5oFL/vRcgN600H7muqZkZviJmgWZxoUHv12FClx8Rz5wnUsAJwJrJv+burc+dzS8hukfSl5oK3AX142vnC9g9Beedum34chl6g/o4Zvuar7WzffzHNP4bXmyF9RNp7M6pKc+B60pa42JWN+NdSRXgP4I1ousSfabug6YIlM+bYGr7fP8DnZkiOfWx9mCvo8udYlTe2P96ajjVC3yVNuQm4UM6B1qC+5+yfIPfFbaP3Mg1V/mgVvUhtyo5wfRXt7zd0/RQ1ftry7u5lVHjI6vFa0h1tRLeUL1zp14gcmfrky8bRvWzA8HaXgSffLzGZM1zwEBXcYBTzuitT5UPo8CbkuAwyvlzezGVHgn24/N3yt3ukybVI5aTlfSPslzGzplEbTl40vaDCdlJXc+BrtRIWvt13pki/Uy91+7ip+KGojNqSTNiVjvj8KZPcT4E13/z8U3X1+YJK7P5ApX6l7pqWONj1DvlJX1dUnaZC3Qt5vhi2V/vuwMvG017PTJr7SP+2qXs6C76Cuqid9suAL17ugmc2D+nh19cfpZYo1wN2k1GFaGIUJfxEtin8VOA5VyiPQtgAbohGXYzLjf+7uL6Rr6YcC7jyBgl442uw6V37F9NsNwJ1o3eTzyPXIalzrCWjhfw78WDRLtk26tqtQaPmnkGsKmfMLILfzC4EfuCITL534jtInN/501NHbyd3fMbPF0PqfnZB732yJXx4FivgjipRYD78O2ut0xyace9F0Twa7+72ghzcUhbWjcn4AMCwj/kRUXn7v7qcV7lVHeS03/ngUHOhmd/97Wh/2dIn4X6P68z60t/ScqL3oDn55FJG8GedeAK19nx2437UmfizwDFq/+iVfb1Ny4/d095cATNHcv4PWSJ+MyspMKD+ujDrkx2bGXwysjWaJ/oEemB+j4zb92Iz4xZP9WwOHuPv9ZrYCyne17lcj/Dbo4entJpy72MYdj9qVdwt8R2mTG38G2qVgB3f/sI56Kjf+IOA9d38VwMyWRWv4T0ZbElZfb278yaidO8TdrzGz5dESq47u10beGx8WPYNp6LIftEeL2xlVwrsAS6XflgVuBpYt8CvlwqMHgpGoo7J34RyD0usyaLPrXPnl0UP+bmiR/kqFv1kWuZAW02ZdtH4pF35bVNFsDpwGjKziq+9tbvzI9PooenAeVsXfkjm/OfAgynNzIPen6TvhN62XR4EyHmnGudN3M6KAFHunz0OBuTpLm8z4jZGb1U+BU9CDfGdlJTd+3XR/f4463aO7KCu58d9H0cX3Q4FQNunieuvmgRVQXu72c1eVrZ8DF6S/n8fb24i/ZM6PROtsdy58Nzi9Lo2WOSyTPg9CD5858RuiYH6HALcC8xb+brI2On23UWb8jsDR6MHtEiaPdlvrftXNowjav23GuQt5ZzjwTxQ8bVgVX11WcuO3QgMUsyMPm+mAfp2U9Wx42vunZwI/KZafWtebG5++2xi1xUcCv0Mu3v07KStf9QF729FyA3rDgWbNxqf3o1BH9nA0En8Y7YFt+ufIp/eXI5fKAwrfzYZCoWfLoxm23dPn7dCDc3/0cPArYNWqtMmN3wyNOoI6TmejoElj0YxC9b3Nja+s+zkRdZKuQa5QM6LZwOrrzY3fCDXaO6EO1B+AfZHHwV4Fvl+jfDPPXSgT8yBPg53RCPx5KOLuftXXmhOPOhonAUun7/ahPW+NRGVllVz59Lo28lQh3Z/K7OuKaCAgd35TFNUX4AfAPWjQYgjyIJpivpnnTq8rAGek98sAuyMvjiWBU/l6Oc+KT+/HA3cDBxa+G43WnX8V3C5HPt2vTdP7vVEHvA2YNb2vTp/c+O2BDdL7i9ED6CLAXGg2sDq/1c0389xV9+B3qL24Dm1BNRLN6n0tr+XEo31yj0T9o9vRA9cWKLharXo2G552r9kVUP9oKzTR8QuUBye73gz5WRNXmRDbFxiV3nfYH++tR8sNKONRyHQjUqYahty3KqMys6BRve3Sb7nyMxYqgQXQSNAfgP0L1zpbbnzVtS4FjEvfDQEuLLDz1kib3PhZSTM1aPbgIDRrv2H6+1z5GZn8QWwr1PFbG20KfwlqAHPlRwAD0vv9kdvlcGBB1OhtgtaANsQ389y1rhWVn5eQ18dwNFhxIhr4ypWfIb1WZpjakOfBoYX7N2PG/IyorCyGBhaPQ53WbdPrXunac+b7oQfN89CMwVJo3deKhTzZEN/sc1e1wYugB5uZ0+ex6dpXozCDljE/Fe1B7C4D9iv8NqYE/GbAOoV27azCb3OVgF8G9TGmRh5PR6G+xuIUZjCnhG/muSv3Kr3un/5uHeR1dhwwSwn4udJvd6LZ1tWR18cywMDc+fQ3S6Co9oujsr8lGniZNXe+ck9QvXs4cFD1b33laLkBZT1SIRmPZg1WTQXocJLrDVo/81dgaOb8KWibg0XS99OiyvfADq635Xxir0CjW6tVCjlyBxmPOlW/pb1BzJU/Mb2fsyotxgG/rXG9OfHj0TqSNdGD5XJoNHFhtObzqUIa5MhfkfjVSWu2Cte3LXBSjfTpkm/muWuk/VpoLd6htLs/jQCuJnWcMuWvRPXUmrS7SA9I329ao17Ija+U9VWR2/EawHrp9/XQDMhUmfPHoZnhW9Lf/jRd77EdXG+XfDPPnfhFgd0Kn49FMxaVa1sHDXZNUxJ+xkIbdxmFjmgZ+ML3g9AAY/90L5fNmN+9Bl+5X1sCv6i63rr4Zp67o2tFA6Nboxgj/wb+lb633Hk0O7le4fP+wJGd5M2s+PRdcbZ0UdQO1izrmfB7FNjKRNO0aOBxXHVe7AtHf0INKUUlnga5KZ6B9s+aD+3XuQCwgZm9j2bLngM+MrNBGfNvosIx1szc3R83s22Ba83sMeRGOk0m/ONofc9OKHDRW4ld0sz+4u4Pm9kQ9MD8KHBj4Vpz5N9EszZLmNkfgQ+QK8smwHNVeS03/gy0V97i6XgMNXwnotH4fpnzlfu1EHpgfsjMZkGj8OsBDzbIP1QjL3TXuav54rUugqI4zpbKycpo/873q8p5TvypiR+LyvkN7v6omZ0MLGdm0wP/LVxvbvzpKMDNQihS5vvAzGb2POo4PQ9MqsoPufHvAGOQu/rD7n6bmV0AHNHB9XbGzwB80qRzT+/u7yJNAg40s4nufra772tmJwC/MbPrUXv3pCtqa878R+5+rru/ZWb93f2jVFauM7NH3f26zPmP3f0c+Gq3AEfrJ/8EvOju92TMH2BmH7r7ubRrlCkC8Dq0R+JvlG/muYvX+qG7n5e+exkNNv4IretsA+0KYGa58h+7+znu/kczG2Bm86FAd0sj9+Pq682NL17vS8AW6dq2B16tUdZz4vc3s/fd/Tx3n2RmA1JZvx2Y18zudvcv6UOKB+AGlTLIx2b2AFrvdgvqvC6HXApeROvJxgAXpT+bCOTMv4FmDdY1s/fc/WUzW9vdP0989fW2lK9iX0/s2mb2T+AVtE3DzxJbfa258W+gmadNUcfQgBfc/bCS8G+iWe/5UIP3K3d/yEyjFyXg30AzUd9Dgac+AN5y9192kj61+KMS34xzd8S/jQYovkz36hPU4T62JPybqKysY2avAK8B/yk88FTXC7nxryNX75FomckPgX+6+w4dXG9O/Gkov00DLGNmT6P24oEOrrcz/p10/macu8KD3LgvB9YzsyHu/lt3/6mZbYU8nBYGLjLtGvBlxvwGZjatu59S6Ih+UtUmkjG/vpkNSvyn6d6/j8rKHumzZcx/db3putZBEwSvu/txnaVPJ3wzz13kNzSzwela7zOzCcA1lTauxrXmxq+f+JPc/XMz2wUNmL7v7ifVuN7c+A3NbLrEH5X4BdF2SYd2kD658ZX7VSnbz6O9fvvUwy8QLtCNHGiGYzMUMXFLFFCq4jI3J1q7sXBJ+VGkrZNy5LtgZ0fuZwsBcxT4zUvCj0JBGBZqIG1y4kenzwumz1YyflSRr/N+Fc9fOffI7j53HfzodK/qLVe58aNQvIJFSsqPRrMejdyvnPjZUT1b7/VOxjfCfgN+U1S2hqTvhgLXUnDpKym/S4HrV3J+XAn5XTu4X5vVwxfOPXN3n7sOfo8q1mggb2bA71pg2xpJn0z43OqSKa57+vJR2bg61IVMe/qdihbM74p85+cANk6/vYQeOjcqKT8BBbDZMDe+DvYVFLxpfXd/scCPKQk/IV3bxg2kTU78i8C3kas0yI26TPwEFDil+no7u1/zFj5Xzr1Ld567Tv7F9Fu95Tw3fgIqKxuUlH9xCu5XTvwrqJ6t93q/4hthGz13Df6nyL1vXnf/LwrouJqZ7U9SCfm1zGw/AHf/oqT8AYm/q4T8mhW+6n6N6YqvOvde3XnuOvnJ8hqTt3Fl4Ncs3KsvG0mfTPjc6pIprnv6suIBuBOZfeXC0Q+NaD3v7kejNZ3vojW1w9E6t3uRC+A1JeevzYy/vk72LeDPDZw7R76RexV89/Jv0ljefJP68+aUnLvRcpJbPVL2eqcR/q2S882sl7sj7X+ForJ+CmxiZnO7+1tom6GKy2tZ+c9Kzn/S1/iMbMktLzfKZ3dvM0ufHql7+rJiDXAncnc3s5XQzM7FwFtmtpC7P2Fmn6GG+0XgUrSR9sNo4+xLgu8WfloUxOXCDGwJPvjIm8EH39q8vz7anuQ5d38TOKGLNjr44LuNN7OHIm8G31t40ESfu/yj+5w8Az/sXA+0if1daE/R04EH0Qb3lY2jV0ZRjNuC714+J1uCD57Im8EHn0PeHxd88K3gc7Il+OC/KR9HbIPUlT5FEe0uNrNn0RY3cwPbmtkLaEH5294ePS34buLNLBtbgg+eyJvBBx95P/g+y0feD76X8X1e8QDcuV4DHk/vH0FbSuxpZqug6HAGXGymtcLBdyufky3BBx95M/jg87Il+OAj7wcf/BTw7poW7tPyDKahy3KgxeQjkXvBmsH3HJ+TLcEHn6stwQcfeT/44CPvBx98I3xfPNoIdSkzq6TT9MBNwMfuflP6zYJvHp+TLcEHn6stwQffk3xOtgQffE/yOdkSfPDflO/LChfoOuTtPvOPAK+6+89AmcldQy3BN4fPyZbgg8/VluCD70k+J1uCD74n+ZxsCT74b8r3ZVmkR/0ys6GujaQxs7ZCRgu+yXxOtgQffK62BB98T/I52RJ88D3J52RL8MF/U74vKh6Ap0BmjY2kBN99fE62BB98rrYEH3xP8jnZEnzwPcnnZEvwwX9Tvi8pHoBDoVAoFAqFQqFQKNQnFEGwQqFQKBQKhUKhUCjUJxQPwKFQKBQK9TKZ2VSttiEUCoVCoRwVD8ChUCgUCvUimdlg4I6q7w4ys/VaY1EoFAqFQvkoHoBDoVAoFOolMrPNgCuAIWb2BzNbIv30GfB56ywLhUKhUCgPRRCsUCgUCoV6kczsLOBS4DFgbeBAYADwETAE2Nndb2ydhaFQKBQKtU79W21AKBQKhUKhKZOZrQDsCWwG/A3YF5gGWAOYCpgEHAPMCDwBLEHMBIdCoVCoDysegEOhUCgUKqnc/W4z2x44BbgKtetfAqsDCwDXA3sw+Qzw31pjbSgUCoVCrVe4QIdCoVAoVGKldb73ACPc/b303eHAc8Bg4BMmnwG+293vaImxoVAoFAq1WDEDHAqFQqFQuXUw8CvgEDN7ENgRmA24F60D/qSKt541LxQKhUKhfBQPwKFQKBQKlVRmtgnwqrsfamY3Ahe7+8pmdiRwGzASOAI9BH8GjECzxaFQKBQK9UmFC3QoFAqFQr1MZnYMcCswM9DP3c9L3x8MPOjuN7TQvFAoFAqFWqZ4AA6FQqFQqJfKzKYGcPdPW21LKBQKhUI5KB6AQ6FQKBQKhUKhUCjUJ9TWagNCoVAoFAqFQqFQKBTqCcUDcCgUCoVCoVAoFAqF+oTiATgUCoVCoVAoFAqFQn1C8QAcCoVCoVAoFAqFQqE+oXgADoVCoVAoFAqFQqFQn9D/A1xSjMHBd6eXAAAAAElFTkSuQmCC" alt="" />
# 减少x轴刻度
plt.rcParams['font.sans-serif'] = 'SimHei' ##设置字体为SimHei显示中文
plt.rcParams['axes.unicode_minus'] = False ##设置正常显示符号
plt.figure(figsize=(4,3))
plt.scatter(x= data.iloc[:,1],y=data.iloc[:,2])
plt.title('散点图')
plt.xlabel('x轴')
plt.ylabel('y轴')
plt.xticks(data.iloc[0:data.shape[0]:4,1],rotation=45)
plt.show()
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" alt="" />
# 修改x轴刻度上的值
plt.rcParams['font.sans-serif'] = 'SimHei' ##设置字体为SimHei显示中文
plt.rcParams['axes.unicode_minus'] = False ##设置正常显示符号
plt.figure(figsize=(4,3))
plt.scatter(x= data.iloc[:,1],y=data.iloc[:,2])
plt.title('散点图')
plt.xlabel('x轴')
plt.ylabel('y轴')
plt.xticks(data.iloc[0:data.shape[0]:4,1],range(18),rotation=45)
plt.show()
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAASMAAADhCAYAAACDd9MmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAHYhJREFUeJzt3Xu4XFV9//H3JycHOAHkBAnBRAL0J4JiuEhEFKpIBYr1wg+o1CtUMGorVXyMhJ8g4MMligW8S1RUbEVULFVBoRVQoIAkoqLWeEEChlJRSBQIEJLv74+1h0zm7D2XM7Pn7Dnn83qe82TOOmvW7MnMfGfdlyICM7OJNm2iL8DMDByMzKwiHIzMrBIcjMysEhyMzKwSHIzMrBIcjKx0kqZL+k12+15JI9ntN0j6RIv73iLp4H5cp02s6RN9ATa5SXo68HbgKZLOAmYA75f0XuBw4PIWRTwKrKsrbxowPSIez37/Iel9/HiTMnaMiNnjfxbWD/KkRyuTpC2BZwFfBo4GrgKOAm4DfgfcnWUdAk6LiKsa7n89sAPwUJY0DfhhRJyQ/f1W4JiIuEvSC4HTgJdF9saWNB24KyKeXtqTtJ5wzcjKdijwf4GnAu8EnkKqKV0D3BsR+0n6DPCZiLiloIwTIuLGgr+tA5C0DfBpYC1wm6TdgZOBi4AnevVkrDwORla25cB9wEey3z8GbA5cAMzM0kaB+2t3kHQTMJuNtaGPSQIYAR6MiP0bHmMI+CbwAHADcAtwAvBJ3C86MByMrFQRcbekw4DjSTWUIeD7wLeAw7Jm3DzqghHwGKk2dH19WZL2ZmNQq7ceOBH4A3AjqQb2NxGxIetjsgHgYGT9sC1wPSkA/SWpQ/lkSdsCfwVsHRF/qsvfaQDZETgju/0l4CbgLZKWkpqENgAcjKwf1pMCxt7ALmwc+bqY1KH99Yb8dwEXZk2zRnfkpN0DvBG4F3gDcA6wFHgLaTTOBoCDkfXLfsBOpFrStVna74GtSc0rACS9iFSzeTOwd0TcJukvgBkR8VNJfyVph4i4r3YXgIhYJelk0kjd5cD3ImJNNpqWG9WsWtyetn6YBnwgIg4E3g8g6SnA14B3AK+StDjr31lECh7bAN+StDWwG2mkDOB5bNpvNFy7EREfAF5O6vjerS6Pv3QHgF8k64fNAbKZ1xcA7yM1zy6MiK9JuoLU13MzMB84KiIel3QtcEBEfFvSKZKeDfwz8N+Snh0RPye9h6+SNGbSo6T3ZTf9Ph8AnvRofSVJERGShiJifc7ft4yIh7Pb0yJiQ87tGRHxSHb7qcDqvLJssDgYmVkluM/IzCrBwcjMKmFKdOxtt912sfPOO0/0ZZhNScuXL/9DRMxqlW9KBKOdd96ZZcuWTfRlmE1Jkla2k8/NNDOrBAcjM6uEKdFMM7Pxu+L2VZx39QruXb2WOaMjLDpsN47YZ27PH8fByMwKXXH7Kk75+h2sXZfmlK5avZZTvp7WKvc6ILmZZmaFzrt6xZOBqGbtuvWcd/WKnj+Wg5GZFbp39dqO0rvhYGRmheaMjnSU3g0HIzMrtOiw3RgZHtokbWR4iEWH7VZwj/FzB7aZFap1Uns0zcwm3BH7zC0l+DRyM83MKsHByMwqoZRgJGkbSd+WdI2kf5O0maTPSrpZ0ql1+XqaZmaDq6ya0euA8yPiUNJpon8HDEXEC4C/kLSrpCN7mVbS8zCzPimlAzsiPlH36yzg9cCF2e/XAAcC+wBf6WHar+qvQdJCYCHAvHnzevCszKxMpfYZSXoB6Tz1e4BVWfIDpHPUt+xx2iYiYmlELIiIBbNmtdzXycwmWGnBKDu6+KPAm0jnWNWmbG6VPW6v08xsgJXVgb0Z8FXglIhYCSwnNaUA9iIdX9zrNDNrwxW3r+KAJdeyy+IrOWDJtVxx+6rWd+qDsiY9Hg88F3ivpPcCnwPeIGkOcDiwPxDADT1MM7MWmm0JAv2ZaV2kb+emSZoJHAJ8v3ZOeq/TiixYsCC8B7YZHLDkWlblrLgfHRnmsSc2bLJdyMjwEOceOb/rgCRpeUQsaJlvKhzi6GBkluyy+Eo6+cTPHR3hpsUHd/WY7QYjd/yaTSGdbv1Rxr5FRRyMzKaQoi1BZs4Yzs1fxr5FRbxq32wKKdoSBNikYxvK27eoiIOR2RTTbEuQiRxNczAyM6B/+xYVcTAymwR6fbZZUXllnqHmYGQ24Hp9tllRectWPsDly1eVdoaaR9PMBlyvzzYrKu/SW+8p9Qw114zMBlyzs83G06wqKm99wQTpXs1Fcs3IbMAVzQXaZmSYU75+B6tWryXY2KxqtTC2qLwhqaP8nXIwMhtwRRMZJcbVrCoq7zXP37HUM9QcjMwG3BH7zOXcI+czd3QEkdaTnXvkfFY/si43f6tmVVF5Zx0xPze9V6NpXihrNkkVrdDvxeLXTnihrNkU18+jqXvBo2lmk1Q/j6buBTfTzCqojJnOZc6ebqbdZpprRmYV0+sZ1WWV2WsORmYV02pG9XhqN83KdDAys1xFQ++12sx4ajfNZmlXhUfTzCqm2Qzo8a4NKyqznzs5tuJgZFYxRUPy3awNKyrzJbvPqswZag5GZhVTNAN6bhe1m7wyj9p3LpcvX9Xx2rWyuM/IrIKKdl3sZp/qxjIPWHJtpTq1HYzMBkSvJzFWrVPbwchsgNTXbmqTGE+67EfjCkxzRkdy165NVKe2+4zMBlBtEmM3/T1VW7vmYGQ2gHqx1WxRR/lETYJ0M82sD3p92kav+nsm+niieg5GZiUr47SNZv09E7UgtltuppmVrIzTNppNYuy2L2milBaMJM2WdEN2e66k30m6PvuZlaV/VtLNkk6tu9+408yqqIzTNor6e677xf2lHidUplKaaZJmAl8AtsySng+cHRGfrMtzJDAUES+QdLGkXYH5402LiF+V8VzMulXUpBqScgNSu0Pref09J132o9y8VVoQW6SsmtF64BjgT9nv+wMnSPqhpHOytIOAr2S3rwEO7DJtE5IWSlomadn999/fi+dkNi79PG1jEBbEFiklGEXEnyJiTV3St0kB5HnACyTtSao11RqyDwCzu0xrvIalEbEgIhbMmjWrR8/MrHP9PG2janOHOtGv0bT/iojHACTdDuwKPATUwvVWpMDYTZpZZRUNofdyRnWtPBicfa/r9SsYXS3pNcAa4FDgIlLt5kDgFmAvYAXwuy7SzAZWL7eFrdLcoU70KxidCVwHPA58KiJWSPof4AZJc4DDSf1K0UWa2cAqY6vZQTOhp4Nko26HAN+PiPu6TSvi00Gs6nZZfCVFn8SR4aEx24ZM5LKNTg3E6SAR8SAbR8W6TjPrl14v72g2/F+lPYfK5OUgZh0qY3nHosN2y904rTEQ1QzCvKFOeRTKrENlLO8oY6vZQeOakVmHyljeAeVsNTtIXDMy61Czo4Q6yd+Oqu05VKYJHU3rF4+mWS819hlBqq3UTtuoTxdpHsrcSTwk38pAjKaZDaJms5wX7LQt5129glWr1z4ZiKCaZ9tXjWtGZiU4YMm1uUP1tRrSVJjEWOOakdkEKuq0rtWQerHsY7JxB7ZZE1fcvmpcxz836+Qe1M3PyuZgZFagm+OAirby6Hb4fzJzMDIr0M1xQJ7E2Dn3GZkV6PY4oKk+ibFTrhmZFShjC9epNImxU64ZmRUoWrzabS1mUDc/K1tbwUjSocA6YANpHpdItarNIuLq8i7PrD+abf1RSx+dMUxEOoHjvKtXTPr5Qf3Wbs3ok8DFwLHA50nB6E3AZwEHIxtorbZ8re1TVJQHpsZOjGVrGowkvRx4AvgzsAw4KvtXwCsi4pwmdzcbCM1GzeprR3l5zvjGz3jsiQ2exNgDrTqw9wSeQ9o8fw9gRvb7c4DNyr00s/5oZ9SsKM/qtes8ibFHmgajiDgnIj5Eqh39Mfv3D9nPiKQ3Shou/zLNytPOqFmnI2iexNi5lkP7kp4LnEM62eMjpPPKZgGnk06ONRto7Rx8WJRn5oz872JPYuxcO/OMFgFXAQ8CLyP1H+0J3AfcFxHryrs8s/K1M/enKM/pr9hjYE9wrZrCDuys+XU96cTWPYEXA3NIp8HuD9xJ6jf6bulXaVaydub+NMvj0bTuNd3PSNJWwNeAe4AtgPURcZyk6yLiJX26xq55PyOzidPufkatOrAfAi6OiDcDPwMuzf60tPtLNDPbqOWkx4ioHZS4OXC6pCOBS0q9KrOSjPeQRStf22vTIuJM4ExJLwYukbQBODsiPl/WxZn1UquZ1vX5HLD6r+1V+5JeLekK4H3AB0id2G8r68LMeq2d/Ym62VDNutPJqv1nA++KiDtrCZL+vveXZFaOdmZat7M0xMrRSTPtjJy0n/f0asx6JK+pNWd0JPfEjvoJit1uqGbj583VbNIpamq9ZPdZYyYoKvt7bbP9MjZUs/aUFowkzZZ0Q3Z7WNI3Jd0k6U1lpJnVFDW1rvvF/ZvsQ513yGJewPKM6v4oJRhJmgl8gbTaH+BEYHlEHAAcLWnrEtLMgOZNrSP2mctNiw9m7ugIjdN9GwOWt4Xtr7K2nV0PHAP8e/b7QcDi7Pb3gQUlpF1XfwGSFgILAebNm9f1E7LB0W3fkLeFnRil1Iwi4k8RsaYuaUugNjb6ADC7hLTGa1gaEQsiYsGsWbN68bRsQLSzCt99Q9XTrw7sh0hbj0BaeDuthDQzoL1V+O0ELOuvfp0Oshw4kLTodi/glhLSzJ7UqqnVuNm+Z1pPvH4Foy8AV0n6S9LkyVtJzaxeppl1xH1D1dJ0C5GePpA0h1SbubrWn9TrtCLeQmTy8jqy6mt3C5G+BaOJ5GA0+PKCDuQfFe2h+GppNxj5RFmrvKLV9lsMT2trHZlrT4PBwcgqr2hGdWNaTf0cona3DbGJ5yFxq7xOF6nWzxVqZ9sQqwYHI6u8oomIoyPDLRe+ehX+4HAzzSolr39n0WG75XZUn/HKPYBU+1m1em3uwtfRGcM8+MjY07Q807p6XDOyyija+gMonFHdauFrBJ5pPSBcM7LKaNa/c9Pig5t2OBc1u9asXccFx+zt0bQB4GBkEyKvOVYUUGp9QM2CSLOV+p5pPRjcTLO+K2qOjRacWw+tN8b3wtfB52BkfVfUHMvr32nMUzQk385Kfas2N9Os79rp38lrctXuWzSj2s2xweaakfVds43N6kfH8mwzMuxzzSYpByPru3b6d4rySHhG9STlYGR9107/TlGe1TkTGMEzqicDbyFipWpnxXwnq+oPWHJtbn/S3NERblp8cCnPwbrT7hYirhlZado5t77Ts+09hD95ORhZadpZMd/pqnoP4U9eHtq30rSzYn48q+o9hD85ORhZT+T1+xQt0Qh4cnlHOwcu2tTgZpp1rajfJ+/c+hqfbW+NHIysa0X9PvXn1ufx2fZWz80061o759bvsvjKMfsNNeaxqc01I+taO+fW+2x7a8XByLqWN/encS9qzw+yVhyMrCNX3L6KA5Zcyy6Lr3wy0NTP/QFy96KG4q1jzcDLQawDjWeQwdgTXL1cwxr5RFnrSt68oWazpWvByEcD2Xi5mWZjFM0bKtrwrL5vyB3VNl4ORjZGUQ1oSCq8jycxWrccjGyMoibV+oiWe1R7EqONV1/6jCRNB+7MfgBOBI4GXgb8ICL+Mct35njTrHeK1ovNres7arZHtScx2nj0q2a0J3BpRBwUEQcBmwEHAvsBv5f0Ukn7jjetT89hUsobqm82b+i8q1ew6LDdCpd4uG/IxqsvQ/uS/gH4R+Bh4A5gBfBQRHxC0v7A4cAa4NHxpEXE6TmPuRBYCDBv3rx9V65cWfrzrLK80TGgcKge8s+wr+U5at+5XL58VdNhfjOo3k6PtwEvjYj9gGFgBKht5fcAMBvYsou0MSJiaUQsiIgFs2bN6u2zGTBFo2NnfvNnuR3V77zsR5vUgPLOsHffkPVav+YZ/SQiHstuL2NjQALYihQUH+oizZooGh1rTKtXC1hFedw3ZL3Wrw/yFyXtJWkIOIJUuzkw+9tewF3A8i7SLJPXBzTeCYfNhvPdN2S91q8+o+cAXyL1g34DOA24gVRL+uvsZ+V40yLit80ef6osBylarrHF8DQezDniZ3RkmMee2NC0hlQrw31DNl7t9hlN2No0SSPA3wA/jIg7u01rZjIGo6LlGnlD7nlBp9YpPToyjERusIJNh/PbOUrIrFHlg1E/TbZgVFQDalbDqQ86Hh2zfqraaJr10HiWa6xeu45H121g5oxhj45ZJXnV/gBqtVyjqIbUbATNo2M20RyMKqLoiOdOjgAC2Hz6tMIO62Y8OmYTzcGoAhr7gGpzfJatfGCTfpxael7/Ts3qtesYGR5i5ozhtkfQvKreqsDBqCRFNZ08RX1Al956D+sbBhjWrlvPv9xyN6Mjw4U1oLXr1rP59Gm5Q/JnvHKPJx/To2NWJQ5GJSiq6dQ0BoJmfUBFajWgImvWruOCY/YuDDoOPlY1HtrvQLu1naJ9oJvN9xmvISk3aHnPaasK74HdY836da77xf1t1XRWrx3bpOr2qyBvBM19QDaIPM+oTUX9Ov96y92brIY/6bIfdR1gOlGbD+T5QTboXDPKkdccK6rtNAaeokDUbXMM8teI1ZqKDj426FwzapC390+3tZ1OAlHRLGrXgGyyc82oQV5zrNsaTbu1pWZrxFwDssnONaNMbR+gopnNvSbggmP2HlPTOeuI+a4B2ZTkmhH5q+B7odleQnNGRwprOq4B2VTkmhH5TbNmivp1RkeGx9RoTn/FHj7U0KwNrhnR/Bz4Tvp1znjlHk2XfHj5hVkxByPaO7SwMZAs2GnbtgOMm11mrXk5CMU7J7rj2Kx7Xg7SgVrAcVPKbOI4GGXclDKbWB5NM7NKcDAys0pwMDKzSpgSo2mS7iedRNuO7YA/dFB8J/nLLNv5nb+b/GWWvVNEzGqZKyL8U/cDLCsrf5llO7/zd5O/7Gtp58fNNDOrBAcjM6sEB6OxlpaYv8yynd/5u8lf9rW0NCU6sM2s+lwzMrNKcDDqE6lgE6QBKb9snVx/VZ9rp9dVdv5B42CUkbRlSeVK0g5A8fGvG/NOk/RUSXtL2qKD8p8VESGp5euZPcYhkjZvp/zsPjM6yCtJF0p6cQf32Sba7C+QtFW7efutg+cwvcP8quVv8zWWpG3bKXs8svJPkDTay3KnfDDKPpxLgfMlHSlpfhv3eXe7ZQMXkzr73i6p1cSv/YDTgI8Ar6kro5kDgO9Kmh8RG5p9e2ZlfRmYHxGPtfkcTgLmtZl3GnAJ8HxgJEtrej2S/gX4lKQ3Nsuf5b0IWCrp7ZKe0c41dSr7oB3UQf5pki6Q9GFJe9fKaJL/YOAzkr4h6Zm1Mlo8zFslXQLQ5mt8BfDKNq9fkt7UTpCrK/8y4C3t5O/ElA9GpP/UIVIQ2BY4XNKhLe5zrKTz2ih7CfC/wNuB5wH7tMj/VuCHwPHA30raPSI2FGXO3pR3A38mBdPntvj2/DLwQEScL+lUSUdI2qPFNc0EjpG0v6RXSTq8ybVcDKwAjgOOkzS7xbf/OcADwHuB4yXt0ST/EmA18H7gGcC+La67/tqmSTop+3lqi1rnzsCFkl7RZvGXAWuA3wJnSRopeg6SNgP+AfgS8B/AuyEFmBaPsRp4saSPSBpq8Rp/D7gxIj6f1YC3lzTcpOytgFcAz5c0R9IzJG1fcP0Cvkh6j36O9L7uGQcj+AmwgfSCfxW4A3ihpP0bM2bfIjOBHwGzJH2qRdnLgW9GxN3AvwNHtcj/ZWAZKcBsAN4j6URJuRtmR3I36Y1xJfBBSfuQaiZ5PgQ8Iuk2YBvgIODVknZtzFj37XsTcDBp+v8zgddKenNO2dsC34mIsyJiBXALsGVWVtH77Nbs+f4RuBp4naRFkl6Qk/du4LKI+AXwA+BkSbMLym10EfA04BHgn0hfOEW11O2B+4ETJR3XRtkrIuKMiLgwu8ZXFWWMiMeB24H/BK4CdpN0sqT9WtRMbgQ+DzxGeq0hfUnkuQa4X9L3gLcBHwdeKSm3myAi/kz6DBwLvBx4D+l9l1fzPAT4aUQsAS7NrqdnHIzgF8Ba4PkRsQb4L+D3wJgaQ/bhfxB4W0QcBzzaIiDdCPw0u72S9IFG0r6S/k9O/puBX2dNqI8B5wM7AmOCRVaOsjfZjsA3gdNJVfSFBddzB/Aw8NWIWAT8MynAPDvvuWY3f5Vd98qIOI/0wR7zzRkRf4yIL9clTQNOzf5W9M2/DJgDfBpYR/qg7UR+DfJW4AJJrwdmAL8D2u33+g1wW0RcBHyXVPs5RNJWtQySFtVd098CRwN/J+nYvALr8v9S0nbZ7TuB2dnf56quX66uaX8NsBnwOPAtUq12Edl7Iyc/pH3Hds1es19L+jFwRMH1/CfwauDSiDiS9AW7kIbg1VD+GtJ74IvA2aTa6jMa8p8YEddExLl1yftLeh09MuWDUUT8kdSn89qsr+DPpGD0FkkjBXd7NLvvO4GHsn6PvLJXZQEO0pv8l5KOITVPHs7Jvyb79iQivhMRPyV96F6YBR415I+IWE96w72Q9Ca8g1TrGVMjiYi1wIdJ/TpExD2kYJMXGGtWAt9mY0DcHXhR1uQYo3aNEXE+8ICkI4sKzh7/g8BnSR+eX5GC0oskDdU/34i4DXgHqbb1Y1Lt5fgm142k92Q37wRelJXz/ez+zyMLHJk3SvpgRKyPiNUR8SfgzcDRkvKC+3GSzoiISyKitmD0ZmBN1sQ7GxhuyH9WRNwWEY9GxD0RcV5EfAK4j9RfWO/JroCI+C3wU0k7koLWMFnArvs/OjYr/2bgo6QvJSLiK6Rg01i7PlbSh7LbXwfuAbaMiJWkwHVgQ/631ndNZF/KpwHPldSbXQl7vdhtUH9IH7LTgK+Q+gEWtsivuttnAzs0yws8hfSNswx4ZhvXczypFnIL8IwWeXcCfg58IPt9eqtrJ9VazgbuaqP83Um1qI+Rvnmf1c7/Danv6J+A4Rb555NqdueTPjh7tvH/81zgXc2eK6lWemZ2++OkfqfatV2QpYn04fsiqSn0qYYydiYF+23q/u/q8y+ty3tI9hp/t/Z/lJP/orr8JwCnkJrCTy/I/+ks/R2kL6azst9Hc/J/EfhwXflvzn5+DjytoPyPZ+nnZa/xqaR+p90K8n+qrvztSIHvRb34DHoGdp2sY/OZpBfgVxHxSIv806J152Mtr4CzgEsi9am0yr8dqR/m0Uj9Qq3y7xwRd2W3hyLVmJrl3xWYC9wbEb9so/ytSW++xyNiVav82X1mA0TE/7aRdxdS0PtNm9ezPTAUEf+T8zcBo6RRSUjP8eTsm/0xUrNnJqmP69+y+2wVEQ9JuhDYIiLeWlfe9Ih4ouExxuTPnu+XSM34X7aR/6jsOm6M1BeWl//DwLqIeLekv4+Iz2V/3+S915B/86z807LnenlE/KSg/I8Cj2T/Py8kBd/bItVSm15/ln4k8IOI+F3Oy9QRB6M+yntTl/AYCr+owCYfoI8BD2cfuL2AQ0m1hZsiYnWW98nXJmu+7BARr29SdmP+7SPijZJmRmrCNMt/PvCUiDihzfI/DIxExMLs9zGvcUP+C0gB421tln9hdj1v6uD5zomI1xblH48p32fUT2UHouwxHIg2qvXtvR3YTNLnIuLHkfpqrqwFoizPE3X9Xe8GVipNVs2Vk/9eSdvnBaKc/O8Cfi/paW2W/w7SCNnTst/HvMYN+U8CVndQ/juB+zrI/27gt83yj4drRjap1dciJJ0DfDSvaVeXv+2mt/P3loORTXplfoCsdxyMzKwS3GdkZpXgYGRmleBgZJVWNNPbJh8HI6sspbVj1zekvVdSW9tj2GBxMLJKytbwXQ5sLekySQuyPz1OWr9mk4xH06yyJH2GtFXFT4DDgf9HWiT6MLA1adnFdybuCq2Xpk/0BZgBSDqQtBj0GNLC0fcAW5AWn24GPEFa6LodaQHsAlxDmlQcjKwSIuJGSceTdga4gvTe3AC8lLTXzpVkOwCwsWZ008RcrZXBzTSrjKxf6GZgVt0C1jOAX5O2R32UTWtGN0bE9RNysdZzrhlZlZwKnAucJmk5aYfCp5P2dPoJ2cLXOpP66J6pxsHIKkHS0aR9h94n6TvAv0bEQZLeD1xL2pXxTFJAehyYRapF2SThZppVmqQlpJ0TdyBtpvb5LP1UYHlEfHsCL896yMHIBoKyze2jzfPebPA4GJlZJXgGtplVgoORmVWCg5GZVYKDkZlVgoORmVXC/wcCg3//pTrYqgAAAABJRU5ErkJggg==" alt="" />
# 循环画图
# 加入图例说明,搞定
plt.figure(figsize=(16,9))
for i in range(2,10):
plt.scatter(x= data.iloc[:,1],y=data.iloc[:,i])
plt.title('散点图')
plt.xlabel('x轴',fontsize=14)
plt.ylabel('y轴',fontsize=14)
plt.xticks(data.iloc[0:data.shape[0]:4,1],range(18),rotation=45)
plt.legend(data.columns[2:10])
plt.show()
数据分析——Matplotlib图形绘制

绘制折线图

  所有图基本都是一样的画法,只是函数不同而已,只要掌握了一种就全会了的,所以不再详讲。

## 创建画布
plt.figure(figsize=(16,9)) ## 创建画布并设定画布大小
## 使用循环绘制图形
colors = ['red','yellow','blue','green']## 设定颜色
lineStyle = ['-',':','-.','--'] ## 设定线条类型
Mark = ['o','D','+','*'] ## 设定点的类型
for i in range(4):
plt.plot(X[:,i],color=colors[i],linestyle=lineStyle[i],marker = Mark[i])
plt.title('iris数据四个特征的折线图')## 添加标题
plt.xlabel('index') ## 添加x的标签
plt.ylabel('value')##添加y的标签
plt.xlim((0,170)) ## 设定x轴的范围
plt.ylim((0,10)) ## 设定y轴的范围
plt.legend(names) ## 设定图例
plt.show() ## 显示图形
数据分析——Matplotlib图形绘制

绘制柱状图

plt.figure(figsize=(10,8))
plt.bar(data.iloc[:,0],data.iloc[:,3],color='blue')
plt.xlabel('x轴') ## 添加x的标签
plt.ylabel('value')##添加y的标签
plt.show()
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" alt="" />
plt.figure(figsize=(10,8))
for i in range(2,10):
plt.bar(data.iloc[:,0],data.iloc[:,i])
plt.xlabel('x轴') ## 添加x的标签
plt.ylabel('value')##添加y的标签
plt.legend(data.columns[2:10])
plt.show()
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*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" alt="" />

绘制饼图

## 饼图
plt.figure(figsize=(6,6))## 将画布设定为正方形,则绘制的饼图是正圆
label= data.iloc[::4,1]##定义饼状图的标签,标签是列表
#explode = [0.01]*data.shape[0]//4+2## 设定各项离心n个半径
plt.pie(data.iloc[::4,2],labels=label,autopct='%.3f%%')## 绘制饼图
plt.title('2017年第一季度各产业生产总值占比饼图')
plt.savefig('2017年第一季度各产业生产总值占比饼图.png')
plt.show()
数据分析——Matplotlib图形绘制
但是这么多图突然让我觉得窗口有点多了,怎么办呢?
那就把他们放在一张图里吧。
## 子图
p = plt.figure(figsize=(10,10))
ax = p.add_subplot(2,2,1)
for i in range(2,10):
plt.scatter(x= data.iloc[:,1],y=data.iloc[:,i])
plt.title('散点图')
plt.xlabel('x轴')
plt.ylabel('y轴')
plt.xticks(data.iloc[0:data.shape[0]:4,1],range(18),rotation=45)
plt.legend(data.columns[2:10]) ax = p.add_subplot(2,2,2)
#plt.figure(figsize=(10,8))
for i in range(2,10):
plt.bar(data.iloc[:,0],data.iloc[:,i])
plt.xlabel('x轴') ## 添加x的标签
plt.ylabel('value')##添加y的标签
plt.legend(data.columns[2:10]) ax = p.add_subplot(2,2,3)
for i in range(2,10):
plt.plot(data.iloc[:,i]) ax = p.add_subplot(2,2,4)
#plt.figure(figsize=(6,6))## 将画布设定为正方形,则绘制的饼图是正圆
label= data.iloc[::4,1]##定义饼状图的标签,标签是列表
#explode = [0.01]*data.shape[0]//4+2## 设定各项离心n个半径
plt.pie(data.iloc[::4,2],labels=label)## 绘制饼图
plt.title('各产业生产总值占比饼图') plt.show()
数据分析——Matplotlib图形绘制

绘制箱线图

## 创建画布
p = plt.figure(figsize=(16,4)) ## 创建画布并设定画布大小
## 使用循环绘制图形
for i in range(2,10):
ax = p.add_subplot(1,8,i-1)
plt.boxplot(data.iloc[:,i])
plt.xlabel(data.columns[i]) ## 添加x的标签
plt.ylabel('value')##添加y的标签
plt.show() ## 显示图形
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U1NZw8eTIgw//vK9hNSjcuERGJCkVFRXz22WdMmzYtYAlVR8uqKisrwb+0SsuqBpi2I6F//etfee6557j33ntbsjYDCifQgEJEeOWVV5g6dWrL9zfccAN//vOf+fLLLwHigf3ALk7NsPwmcDBIJhISdW4kZPX19dx888088sgjjBw5ktTUVIqLiwEoLy8nJSUlIAPOIfhNSjcuERGJeA0NDdx5552kpKTwyiuvBIx4drSsKjs7G/wPmD10Y1kVaCS0ryxevJhHHnmEM888syVrM6AQgwYUIsKbb77JpEmTWr5funQpWVlZpKenA/zFOfchsAW4zcweA2YBrwfJRELyN/19ABI51q5dy+7du1mxYgUrVqzgjjvuYP369Rw5coS8vDxKS0sxMzIzMzly5AhAAv4bkgOKzGw4MAVID5KJiAwax44d4x/+4R9obGzk3HPPZcOGDeTm5nLgwAFuvPFGHnjAP3M4JyenJWtmZmuBK4HXnXPLg2XS+5599lmuvPJKFi1axOrVq1mzZg05OTmAf1nV7t27A0ZBExMTAc6k/YjnNUGydpxzTwFPAaSlpbleOTHhnXfeoaKiAoD333+fBx54oGVAYebMmeDvSB/k1ODBJvyDB6VBMulDTTuKA/DCCy8EvJeVlcUf//hHAMysGsA594WZeYDJwKPOuWNN77fLREKhjraELDc3l9zc3IDspptuIj8/n0WLFrVMt/J6veTn54O/XELQm5RuXCIymDVXcpg8eTK5ubkBlRzmzZtHRUUF+/btC8hoM+XYzNY1TS/+RtvMOVfRryc4SOzZs4f58+eTlJTErbfeyrvvvtvpsqqamprmH9Uo6AD3pz/9qeVrj8fD8uXLOXToEFOnTqWoqAj8bbUD/8ORN8wsE//DrmCZDHDOOR+nZpUEzURCoRu49EhCQgKzZs0iKSmpXYZ/7RLgv0k55152zn3WWSYiMlh0tZJDOKYcS/iNGjWqed01ZWVlHDx4sNNlVeXl5QD1aFnVgNV6JLRtNnLkSPLz85vLe/3JOdfonDuEf+BgO/CtYFnfHL2IDBS9MqJtZl8DNjnnMs1sGXB901tJwK+BZ/E/2fvPpvzmpkLxIU2F0/Q4ERGJFs2VHFJSUgKmF/fGlGMzmw/MBxgxYkSvnM9gk5OTw7x583jppZdoaGjA6/Vy0003BV1WlZeXB/7yl1vQsqqINHz4cGbNmsXs2bNbOs/OuSO0Hwltl4nI4BH2EW0zS8DfmT4XwDm31Dnncc558O/o9ywwHljRnDd1skPafVM7coqISLToSiWHcEw51i7H4TdkyBA2btzItm3bKCkpYeTIkXi9XtLT0yksLCQ+Pp64uLiADGh0zn2BfyZCKZDlnDvWUdZf5yUiIj3TG1PHG4HZwBetQzO7FvjUOXcY/xPafzSz3Wb2cNNHPIQ2Fa6jTEREJKJ0tZKDphxHjs6WVbXOtKxKRCR6hX3qeNPTWMys7Vs/BJY2fZ0HPIS/QHyBmV1F6FPhTjs9TlPjRIJ74okn2LBhAwCff/4548eP58SJE0F3OgaGNf+slnKIhE9XKzloyrGIiEjk6JPN0MzsPOCrzrn/2xS965w73rQxxB7gMkKfCnfa6XGaGicSXG5uLl6vF6/XS2ZmJpdeemnLrsaVlZVUVFSwefPmlgz/LsdayiESZrm5ufh8vpbrce7cuZpyLCIiEiX6qrzXd4A3Wn3/ppnNwf9kPhv4Ff6R6on4f0n4JvAh8GmImYh00eHDh6mqqsLM2u10vGfPnpYM/3U6ERhL+2UbHWUqKSTSTa2qNnSaqQSNiIjIwNZXHe0bgJ+1+n4ZUIh/rdmTzrkPzezPhDYVTtPjRMJgzZo15Obm8txzz3W60zH+fRe+hpZyiIiIiIiEpNemjjftMt789fedc7tbfV/onLvCOXeVc+7/NGUhTYXT9DiRnjt58iSFhYV4PJ7T7nSM/z6hpRwiIiIiIiHqkzXaoQp1903tyCnSM0VFRYwfPx4zO+1Ox8A5BN/VWDsdi4iIiIi00VdTx0VkAHnzzTeZNGkSANOnTw/Y1bjtTsdAAvA6WsohIiIiIhKSATWiLSJ94+GHH2bGjBkA7XY1brvTMfChlnKIiIiIiIROHW0RadnVOCkpqV0GnGjOtJRjYPD5fEydOpW0tDTuuusuwF/3PCMjg+XLT5Uy7ygzs7VmVmJmD3SWiYiIiEj3qaMtIhJh1q9fzy233EJZWRnHjx/n0Ucf7bQWemVlJfjroasWuoiIiEgfUEdbRCTCnH/++ezfv5/PP/+cTz75hI8++qhdLXSv1xuQ4d8V3kP7uucdZe2Y2XwzKzOzsurq6t45MREREZEooY62iEiEmThxIocOHeLxxx9n9OjR1NfXB9RCr6qqCqiFnpiYCHAm7eued1Qf/Wsd/Z0q0yYiIiISOnW0RUQizLJly3jyySd58MEHueKKK3jhhRc6rYVeU1PT/KPdqoUuIiIiIl2jX6hERCKMz+dj3759NDY2smPHDhYvXtxpLfTy8nKAelQLXURERKRPqI62iEiEue+++7jjjjs4dOgQGRkZ/OhHP+q0FnpeXh7AMWALqoUuIhJUVVUVM2fOpKioiI8//pjbb7+dM844g1GjRvGrX/2KEydOMGPGDI4ePQpwPoCZnQlsBhKBtc65dR1l/XVOg1Hrdjx8+DDjx49n1KhRAGzcuJGhQ4eSk5PDgQMHAIY1/5yZrQWuBF53zi0PlomEQiPaIiIRZty4cfzhD3+gpqaG/Pz809ZCLywsBGhULXQRkeB8Ph9z586ltrYWgF/96lc88cQTbN26lU8++YR9+/axevVqUlNT2b59O0CCmQ0BFgK7nHMTgJmdZNIH2rbjjh07WLJkCV6vF6/Xy9ChQwMqc+CvytFhFQ5V5pCeUEdbRCQKdFYLvXWmWugiIh2LiYlhw4YNxMXFAbBixQpGjx4NwF//+lcuuOCCgIoO+Pe4SCOwesO2TrIAqubQO9q2Y2lpKU8//TTXXHMN999/P0DbdjxG8CocHWUB1I4SjDraIiIiItIrEhMTMbOgLyDoe00VE/pMXFwc8fHx7fINGzbw9a9/neHDhwdUdABOELx6w2krOqiaQ+9o245TpkzB6/Xy3nvvUVJSwt69e9u2YyNqR+kFWqMtIiIiIr3C5/PhnOvWzzZ3xPtTZWUlP/vZzygoKABoqejQ1JGLIbB6wzH81RtqgmTSD6677jrOOussAMaOHUtFRUVAZQ78bRisCocqc0i36R+LiIiIiEgbPp+POXPmsG7dupYR0tYVHfB3wA6iig4D2g033MCf//xnvvzyS9566y3GjBnTth3PQe0ovUAj2iIiIiIibaxcuZKPP/6YhQsXArBs2TLmzp3L1KlTKSoqAn9Hewf+qcVvmFkm/t2pg2XSD5YuXUpWVhZf+cpX+MEPfsDll1/OsGHDWipzAAnA63RchUOVOaTb1NEWEREREWni9XoBWLVqFatWrWr3fn5+PsXFxTz++ON/cs41AofMbDL+kc8HO8mkDzW3Y1ZWFn/84x8D3muuzJGfnw/wYXPFDTPzAJOBRzvLREKhqeMiIiIiIiEaPnx4847VLZ1n59yRpuoNxzrLZOBorsyBf1M7QJU5JLx6paNtZl8zs6Kmr5PN7FMz8za9hjbla82sxMweaPVz3c5EREREREREBoKwd7TNLAH4Nf7t8AHGAyucc56mV3WoBeFVOF5EREQGshMnTjBixAg8Hg8ej4d9+/axdOlSrr32Wu6+++6Wz3WUmdkyM3vPzNZ0lomISOTpjRHtRmA28EXT9+nAP5rZbjN7uCnzEFpB+FAzEZGw6KzmKwyceq8iMjDs3buXOXPm4PV68Xq91NfXU1xczM6dO/nqV79KQUEBu3btCsiAIWaWiv93mHHAX8zsWx1l/XdmIiLSE2HvaDvnvmizFiUPf+f4WiDDzK4i9ILw3Socb2bzzazMzMqqq6vDdGYi0WXBggW89tprAOTk5JCRkcHy5ctb3m/OgGHN2WBYytFc87WrL5/P19+HLiL9oLS0lN/97neMGzeOnJwc3n77bb73ve9hZtxwww0UFRXxzjvvBGTAEOB64DfOX2T6TSAzSNaOfs8RERn4+mIztHedc8ebdlvcA1xG6AXhu1U43jn3lHMuzTmXNnTo0PCfkUiEKyoq4rPPPmPatGls3ryZxsZGSkpKqKyspKKiIiADztJSDhGRjl177bUUFBSwc+dOGhoaqKurIzk5GfDPkKmqqqK2tjYgw1/1pVuDCaDfc0REIkFfdLTfNLNhZnYOkA3sJ/SC8CocLxJmDQ0N3HnnnaSkpPDKK6/g9Xqbd90kOzub4uLigAw4hpZyiIh06KqrrmLYMP/En7S0NGJjY6mrqwOgpqaGkydPtssAo5uDCSIiEhn64ga+DCgESoEnnXMfAluA28zsMWAW/iLxPclEJETPPvssV155JYsWLWLnzp2sWbOm09EX/PsuaCmHiEgHbrvtNsrLy2lsbGTLli3U1tZSXFwMQHl5OSkpKaSmpgZkwH+jwQQRkaj2N731BzvnPE3/Wwhc0ea9L0ItCK/C8SLhtWfPHubPn09SUhK33nor7777bqejL/gfyPVoKQfwFEBaWprrpdMSEekXDz74IN///vdxznHTTTfxwAMPkJmZyQ9/+EN+//vf8/vf/56RI0dy3333tWT4H0wWA4+Y2S+A/9n0OtRBJiIiEajfpiSFWhBeheNFwmvUqFFUVlYCUFZWxsGDBzsdfQHOQUs5REQ6NGbMGPbu3cu+fftYsWIFZ5xxBgUFBWRmZpKXl8fFF1/cLgPqnXMngW8BRcAU59xHHWX9d2YiItITvTaiLSIDU05ODvPmzeOll16ioaEBr9fLTTfdxJEjR8jLy6O0tBQzIzMzkyNHjgAk4F+i4YAiMxsOTMFfuq+jTERkUDv77LOZOXPmaTPnXB2w6XSZiIhEHnW0RQaZIUOGsHHjxoDM6/WSn5/PokWLiI+PD8iAD7WUQ0REREQkdNrNUkRISEhg1qxZJCUltcuAE82ZlnKIiIiIiJyeOtrSJVVVVWRmZgJw+PBhLrzwQjweDx6Ph+YdpXNycsjIyAAY1vxzZrbWzErM7IHOMhERERERkUinqeMSMp/Px9y5c6mtrQVgx44dLFmyhNzc3JbPbN68mcbGRkpKSjCzs8zsMuAbQIxzLsPM1gXLnHMV/XFeIiIiIiIi4aQR7QEgMTERM+vwBQR9LzExsU+PMyYmhg0bNhAXFwdAaWkpTz/9NNdccw33338/4F/X2zTdGOAY/h2pPcDLTdlbnWQBVH9ZREREREQikTraA4DP58M51+WXz+fr0+OMi4tr2SgLYMqUKXi9Xt577z1KSkrYu3cvtbW1JCcnN3+kEfgacC5wuCk72kkWwDn3lHMuzTmXNnTo0N45KRERERGRQaCzwb2BNsAXDTR1XLrtuuuu46yzzgJg7NixVFRUEBsbS11dXfNHzmh61QBnN2WxnWQiIiIiItILmgf3uqO5Iy6hU+dGuu2GG27gz3/+M19++SVvvfUWY8aMITU1leLi4uaPnAMcBHZxamr4NzvJREQGHW0yKTJwtL4eGxoamDZtGhMmTGDdunXtMuB8ADM708xeM7PtZjYvWCYig4s62tJtS5cuJSsri/T0dH7wgx9w+eWXM336dNavX88999wDkAC8DmwBbjOzx4BZnWQiIoNKsE0mvV4vXq+XoUOHBmwyCZxlZpeZ2QyaNpQELgmW9duJiUSgttfj6tWrSU1NZfv27WzatInjx48HZECCmQ0BFgK7nHMTgJmdZNJHWj8w+fjjj/F4PPz93/898+fPxzkX8FATuNzMhoIeYEp4qaMtXeb1egHIysrij3/8I3v37uWf/umfAP86bq/XS3p6OsCHzrljzrkv8G9+VgpkBcv6/EREJCpF0ho0bTIpMnC0vR5bX3uTJk2irKys7fVYA6QReO1t6yQLoOuxd7R9YPKrX/2KJ554gq1bt/LJJ5+wb9++gIea+H9frdYDTAk3dbQl7BISEpr/I3SiOXPO+ZxzLzvnPussExHpqe5uMKlNJkUGt7bXY+trLzExkaqqqrbX4wl0PQ44bR+YrFixgtGjRwPw17/+lQsuuCDgoSbQ3KAeuvED0SM6AAAgAElEQVQAUyQYdbRFREQGiOuuu44hQ4YQExOjTSZF+lnra6+mpoaTJ0+2vR5j0PU44LR9YNJsw4YNfP3rX2f48OEBDzWBc83sKrr5wEQzEyQYXfQiIiIDhDaZFBk4Wl975eXlpKSktL0ez0bXY0SorKzkZz/7Gf/2b/8GBD7UBL4ELqObD0w0M0GCUXkvERGRAaJ5k8mvfOUrLZtMDhs2jMzMTI4cOQKnNpl0QJGZDQemAOlBMhHpprlz5zJ16lSKioo4cOAA48ePJzk5uSXD3wHbgX/E8w0zywSu7CSTfuDz+ZgzZw7r1q1rGem+4YYbePHFF5u/jwf24x+9noh//6BvAh8Cn3aQiYREHW0REZF+1naTydaaN5nMz8+Hpk0mAczMA0wGHu0sE5Guab4eR44cSX5+PsXFxfz0pz8lJiYmIHv88cf/5JxrBA6Z2WT8HbIHO8mkH6xcuZKPP/6YhQsXArBs2bKAh5rAX5xzH5rZn9EDTAkjdbRFREQGuOZNJmfPnh2wySSnNukJmolI9w0fPrz1LuMB2ezZs1s6z865I7S/Httl0neaH5isWrWKVatWtXu/+aGmmVUDOOe+0ANMCadeWaNtZl8zs6Kmr0eYmdfMtprZU+aXbGafNuXertauUz07EREREREJJ1XJkXAKe0fbzBKAX+Nf5wBwF5DrnPt74CLgG8B4YIVzztP0Crl2nerZiYj4LViwgNdeew2AnJwcMjIyWL58ecv7HWV6eCkiIiLS+0KeOm5mY/DXmfsY+MQ5VxPko43AbOAVAOfcklbvnQ/8P+BW4H+Y2Z3A751z99NxnbqxIWYVoZ6HtLd//34OHz7MiBEjuOiii4iNje3vQ5IuUhtGpp60W1FREZ999hnTpk1j8+bNNDY2UlJSwrx586ioqGDfvn0BGXBW6weVZrau6UHlN9pmzjndU3tA12N0UDtGD7Vl5FMbSiQKaUTbzFYDy4BHgEuAF4J91jn3RUfrF8xsNvCHpvUqefg71tcCGV2sXad6dmG0cOFCli5dyn333UdlZSXf//73+/uQpIu60oYnTpxgxIgReDwePB4P+/btY+nSpVx77bXcfffdLZ/rKDOzZWb2npmt6SyT0PTk2mtoaODOO+8kJSWFV155Ba/X27KGMDs7m+Li4nYZ/rIkHto/qOwoa0f31dDonhod1I7RQ20Z+dSGEqlCnTr+Defc94DPnXOv498GP2RmdglwL/D/NUXvOueON+3AuIeu1a5TPbsw2rdvH7/5zW8477zzuPHGGzl2THs8RJqutOHevXuZM2cOXq8Xr9dLfX09xcXF7Ny5k69+9asUFBSwa9eugAwYYmap+Dtg44C/mNm3Osr64HSjRk+uvWeffZYrr7ySRYsWsXPnTtasWUNycjIAiYmJVFVVUVtbG5ABZ9LNh5eg+2qodE+NDmrH6KG2jHxqQ4lUoXa0q83sQSDBzOYCIW8G0LRm+0VgXquR7jfNbJiZnQNk469dt4tTIynfBA52IZNuGjp0KD/96U/x+Xz8+te/Jikpqb8PSbqoK21YWlrK7373O8aNG0dOTg5vv/023/ve9zAzbrjhBoqKinjnnXcCMmAIcD3wG+ecA94EMoNkEqKeXHt79uxh/vz5JCUlceuttzJp0iTq6uoAqKmp4eTJk8TGxgZkTbr18FJCp3tqdFA7Rg+1ZeRTG0qkCvUXqtuBY0AJ/tHs/9WFv2MxMAJY3bTD+PX4p6EX4i/+/qRz7kNgC3CbmT0GzAJe70Im3fTss88SHx9PRkYGx44d4z/+4z/6+5Cki7rShtdeey0FBQXs3LmThoYG6urqQhkJ/Rt6MBKqKccd68m1N2rUKCorKwEoKyvj4MGDFBcXA1BeXk5KSgqpqakBGVCPHl72Ot1To4PaMXqoLcMjMTERMwv6AoK+1/S7RLepDSVShdrRvhnwATuAz5u+75RzztP0vz92zg1rtcP4O865QufcFc65q5xz/6fpc1/gXytYCmQ5546FmoV+utLWxo0bSUhIYPz48Zx33nls3Lixvw9JuqgrbXjVVVcxbNgwANLS0tqNegYZCTV6MBKqKccd68m1l5OTQ2FhIZMmTeKXv/wlXq+X9evXc8899/Dyyy9z4403Mn369IAM/8NSPbzsZbqnRofutGNVVRVjx44FVAVgINE1GR4+nw/nXLdePp+vR3+32lAiVagdbWt6nQ3MACb1xsGEWrtO9ezCp/kmWFdXx+bNm9m2bVt/H5J0UVfa8LbbbqO8vJzGxka2bNlCbW1tKCOh/41GQsOuJ9fekCFD2LhxI9u2baOkpISRI0fi9XpJT0+nsLCQ+Ph44uLiAjKgUQ8ve5/uqdGhO+147733tny+ecf/yspKKioq2mW0qQKASpj2Gl2TkU9tKBGrO0+mgF9296lWX79SU1PdQOdvhr77uc7k5uaG7c8CytwgasfO9EZbBdNZG+7bt8994xvfcGPGjHH333+/a2xsdNddd53753/+Z/d3f/d3rrKysl0G7MX/UG478AvgQ+DijjIXBe3YX9djOK+9jgym67EnbRHuazXc7TqY2vF0Bsp91Tnn3n77bXfXXXe566+/3i1cuNC9/vrrzjnnXnzxRbdu3bp2GfAR8Dgw1fl/r/oH4I6OMtfx72HzgTKgbMSIEb134mEwkK5H5/R7TncNpHbUfbX7BlI7hls42zFcr5DqaJtZ6xHsocCVoXXjZaBr/VSwurqaAwcO9OPRSHd0pQ3HjBnD3r17A7KCggJef/11fvjDH3LxxRe3yy699NJ659zJpl3FbwR+4Zz7CKCjTEKjay86qV2jQ1fasb6+noceeojf/va3TJ8+vd0+F7t37w61CsA1QbJ2nHNPAU8BpKWluW6e5qCgazLyqQ0lUoXU0QayWn1dD9wd7IMSWZqmlALwla98hTVrVA450vS0Dc8++2xmzpx52sw5VwdsOl0modG1F53UrtGhK+24cuVKFixYwHnnnQcQ6t4XoCoAfULXZORTG0qkCqmj7Zxb1tsHIv1j6dKl/X0I0kNqw8ikdotOatfo0JV2LCgoYOvWraxZs4b333+fjz/+mIsuuoj09HTKy8u5/PLLufDCCykuLm7JCKwCUIp/n4sPgU87yKQHdE1GPrWhRKpQR7RFREREpI3W01o9Hg+vvvoqmZmZHDlyhLy8PEpLSzGzgIxTVQCKzGw4MAVIB1wHmYiIRKBOO9pmVoj/ph8Q418M//e9dlTS67KyslrqHjZzzmFmbN26tZ+OSrpCbRiZ1G7RSe0aHXrajl6vt+V/8/PzWbRoEfHx8e2yYcOGNTrnvjAzDzAZeNQ17fjfUSZdp2sy8qkNJdJ12tF2zmV19r5ErtbrXSQyqQ0jk9otOqldo0O42jEhIYFZs2adNnPO+YCXT5dJ1+majHxqQ4l02mRDRERERKQNn8/H1KlTSUtL46677gIgJyeHjIwMli9f3vI5M1trZiVm9kBnmYgMLiF3tM1sqJmNaHpl9OZBSd+qrq7m448/5uOPP6akpKS/D0e6QW0YmdRu0UntGh3UjtGju225fv16brnlFsrKyjh+/DiPPvoojY2NlJSUUFlZCXCWmc0AYpxzGcAlZnZZR1mvnNggoutRIlGodbTXAhcDCcCX+NdtT+zF45I+kpOTw0cffYTP5+Occ87BzCguLu7vw5IuUBtGJrVbdFK7Rge1Y/ToSVuef/757N+/n88//5xPPvmE+Pj4lun/2dnZPPPMM7GAh1NT/d/C//vx2A6yirZ/vpnNB+YDjBgxotvnGO10PUqkCnVEexTwP4H/BK4HTvbaEUmf+s///E9+//vfM2rUKN555x3OOEOrCborMTERM+vwBQR9LzExsUd/r9owMqndopPaNXw6u6fqviqh6klbTpw4kUOHDvH4448zevRo6uvrSU5OBmj+N3YmcC5wuOlHjgJfC5K145x7yjmX5pxLGzp0aHdOb1DQ9SiRKtR/qV8C/wOIAW7GP7ItUeCcc87h7bffprGxkY0bN+Lz+fr7kCKWz+fDOdflV0//P1cbRia1W3RSu4ZPd++puq9Kaz1py2XLlvHkk0/y4IMPcsUVV/DCCy9QV1cHQE1NTfPHaoCzm76Oxf+7dUeZdFN32rCqqorMzEwAGhoamDZtGhMmTGDdunXtMuB8ADM708xeM7PtZjYvWCYSqlAv/OeBT4EfAaOBBb12RNKnbrnlFi688EJ+/vOf88EHH/DLX/6yvw9JukhtGJnUbtFJ7Rod1I7Roydt6fP52LdvH42NjezYsYPFixe3TFkuLy8HqAd2cWo55TeBg0Ey6aautqHP52Pu3LnU1tYCsHr1alJTU9m+fTubNm3i+PHjARmQYGZDgIXALufcBGBmJ5lISEJaow1cCHwf8AGvArt77YikT3366ae88MILJCQkcNNNN3HNNdf09yFJF6kNI5PaLTqpXaOD2jF69KQt77vvPu644w4OHTpERkYGP/rRj8jMzOTIkSPk5eUBHAO2AEVmNhyYAqTj38uobSbd1NU2jImJYcOGDXznO98B/DXsV65cCcCkSZMoKysLyPDPQEjDv95+cVO2rZMsoO6Y1tpLMCGNaDvnVjrnpgI/AP4OONSrRyV9ZvHixbzxxhs8+eST/OlPf2LkyJH9fUjSRWrDyKR2i05q1+igdowePWnLcePG8Yc//IGamhry8/OJi4vD6/WSnp7eXOO50Tn3Bf7OWCmQ5Zw71lEW9hMbRLrahnFxccTHx7d8X1tbG7C2vqqqKiADThB8bf1p19trrb0EE+qu4zfhfyJ3IfAekNmbByV959VXXyUvL49PP/2Ua6+9lqKiov4+JOkitWFkUrtFJ7VrdFA7Ro9wt2VCQkLLzuPNnHM+Tu0yHjST7ulpG8bGxlJXV0d8fDw1NTXExsYGZPj3oGq9tv4Y/rX1NUEykZCEOnV8DPCYc65daQKJbPv37+eee+7hsstU4jFSqQ0jk9otOqldo4PaMXqoLSNfT9swNTWV4uJiZs6cSXl5Oenp6QEZ/o70QU6trd+Ef219aZBMJCQhdbSdcw935Q81s68Bm5xzmWZ2JrAZSATWOufWhTvryrFJoPvvv7+/D0F6SG0YmdRu0UntGh3UjtFDbRn5etqGc+fOZerUqRQVFXHgwAHGjx9PcnJyS4a/o70D/xTxN8wsE7iyk0wkJGEvN2BmCcCv8a9pgNB38OtJJiIiIiIiAvg3QQMYOXIk+fn5TJgwgYKCAmJiYgIy4E/OuUbn3CFgMrAd+FawrH/ORiJRb9T1awRmA180fe/h1BqV1jv4hTMTERERERFpZ/jw4cyaNStgk7TmDH/fBQDn3BHn3MutN7DrKBMJRdg72s65L9r8Qwx1B7+eZAHMbL6ZlZlZWXV1dThOSySqVFVVMXbsWABycnLIyMhg+fLlLe93lJnZWjMrMbMHOstERERERAa7UDdD64lQd/DrSRbAOfcU8BRAWlqa67UzE4lQ9957L3V1dWzevJnGxkZKSkqYN28eFRUV7Nu3LyADzjKzGUCMcy7DzNaZ2WXAN9pm2jBRRERac0vj4Cfxp/9gsJ8VEYlQfdHRDnUHv55kIhKirVu3cu6555KUlITX620pU5KdnU1xcTF79uwJyJ555plYApdsvIX/GhzbQdauo21m84H5ACNGjOi18xIRkYHHln2Bc90b8zAz3E/CezwiIn2lLzravya0Hfx6kolICOrr63nooYf47W9/y/Tp06mtrSU5ORmAxMREdu/e3S4DzqT9ko1rgmTtaIaJiIiIiAw2vbEZGgDOOU/T/4a0g19Pst46B2mvqqqKzMxMABoaGpg2bRoTJkxg3bp17TLgfAAzO9PMXjOz7WY2L1gmvW/lypUsWLCA8847D4DY2Fjq6uoAqKmp4eTJk+2yJs1LNsC/ZOOMIJmIiIiIyKDXJ78Yh7qDX08y6X0+n4+5c+dSW1sLwOrVq0lNTWX79u1s2rSJ48ePB2RAgsq0DSwFBQWsWbMGj8fD+++/z2uvvUZxcTEA5eXlpKSkkJqaGpAB9ZxasgH+JRsHg2QiIiIiIoNeX0wdlygRExPDhg0b+M53vgP46xOuXLkSgEmTJlFWVhaQ4R/xbC7Jtrgp29ZJVtj679Pa3vDbtm1by9cej4dXX32VzMxMjhw5Ql5eHqWlpZhZQIZ/48EtQJGZDQemAOmA6yATERERERn01NGWkMXFBe7+2XYtb1VVVUAGnKAHZdq0trd3eb3elv/Nz89n0aJFLfUlW2fDhg1rdM59YWYe/Ms2Hm2eTdJRFum6u0OudseV7qqqqmLmzJkUFRXR0NDAjBkzOHr0KDk5OcybNy8go9WSHGAzkAisdc6t6yjrr3MSEREZ7NTRlm5rXssbHx9PTU0NsbGxARkQQ+Ba3i6VaZO+kZCQ0LLLeGeZc87HqV3Gg2aRrrs75Gp3XOmOYEtyfvKTnzB16lRuvvlm/v3f/70lM7PmJTl34l9+8xMze8PMNnaUOeeO9+PpiYiIDFravEi6re1a3rbre/F3pA+i9b0iIh1qXpLTPGOodcm91ktyWj34ar0kp/kh17ZOsgBmNt/MysysrLq6ulfOSURERDSiLT0wd+5cpk6dSlFREQcOHGD8+PEkJye3ZPg72irTJiIShJbkRIejR4+ya9cuxo4dywUXXNDfhyMiIgOARrSly5rX9o4cOZL8/HwmTJhAQUEBMTExARnwJ5VpExEJ3elK7tF+SQ6o5F6/8vl8fPvb32bnzp1kZWVRXV1NTk4OGRkZLF++vOVzHWVmttbMSszsgc4yERGJPPqPsPTI8OHDmTVrVssmWq0zoKXzrDJtIiKnpyU5kWfv3r089thjLFmyhBtuuIGtW7fS2NhISUkJlZWVVFRUsHnz5oAMOMvMZgAxzrkM4BIzu6yjrD/PTUREuk9Tx0VERAYILcmJPNdffz3gL5+4c+dOjh492rKmPjs7m+LiYvbs2ROQPfPMM7EErql/C/9DkrEdZBVt/06Vv+xbCxYsYMqUKUybNo2cnBwOHDjAjTfe2PK+ma3Ff8297pxbHiwTkcFFI9oiIiL9TEtyIptzjg0bNpCQkICZdbrOPjExEeBMurnOvunve8o5l+acSxs6dGhvnZYARUVFfPbZZ0ybNk0zE0SkS9TRFhGJUFVVVYwdOxboeP2n1oRGJi3JiTxmxpo1a7jqqqt49913O11nX1PTUs1S6+wHuIaGBu68805SUlJ45ZVXAioAZGdng7+NPLSfhdBR1o6qAIhEN93ARUQi1L333ktdXV27URatCRXpO6tWreLZZ58F4PPPP2fx4sWdrrMvLy8HqEfr7Ae8Z599liuvvJJFixaxc+dO1qxZo5kJIhIyrdEWEYlAW7du5dxzzyUpKandKIvWhIr0nfnz5zNr1iyefvppxowZw/Tp05k0aRJHjhwhLy+P0tJSzIzMzMyWDDgGbAGKzGw4MAVIB1wHmfSTPXv2MH/+fJKSkrj11lvbzVZoopkJItIhXfgiIhGmvr6ehx56iJUrVwKnr72skReR3pOQkEB+fj7btm3jl7/8JfHx8Xi9XtLT0yksLCQ+Pp64uLiADGh0zn2B/+FXKZDlnDvWUdZf5yUwatSo5hlBlJWVcfDgQc1MiEBPPPEEHo8Hj8fD1VdfTU5ODiNGjGjJaHooYmbLzOw9M1vT/LMdZSKh0oi2iEiEWblyJQsWLOC8884DTl97WSMvIn0rISGhZUZJZ5lzzsepGSVBM+kfOTk5zJs3j5deeomGhga8Xi833XSTZiZEmNzcXHJzcwFYuHAht912GxdccAGrVq0CwMzqzCwV/8ORccCDZvYtwNc2c84V9MtJSETSL1QiIhGmoKCANWvW4PF4eP/993nttde0JlREJMyGDBnCxo0b2bZtGyUlJYwcOVIzEyLY4cOHqaqqoqysjN/97neMGzeOnJyc5revB37jnHPAm0BmkEwkZBrRFhGJMNu2bWv52uPx8Oqrrwas/9SaUBGR3qGZCZFrzZo15ObmEhsbS0FBAcOGDeP2228HiMe/jOr/Nn20eRnViQ6ydrSHiQSjjvYA4JbGwU/iT//Bjn5ORAa15vrLXq+X/Px8Fi1a1FIWqnU2bNiwRufcF2bmwV9r+dHmUZaOMhERkWhx8uRJCgsLWbFiBfX19Zx11lkApKWlsX79+r+lB0urnHNPAU81/Xmu985CIk2fdLTNLBeY3fTtefinKk4GKpuyhc65fWa2DJgK7HTO3d30syFlkcyWfYF/VkoXf84M95PwH4+IRB6tCRUREelYUVER48ePx8y47bbbWLJkCWPGjGHLli0AX+Lvm8wCXiJwaVXbTCRkfbJG2zn3hHPO45zzAEXAr4AXm7OmTnbrTQj+YmbfCjXri3MQEREREZHI8+abbzJp0iQAHnzwQW677TauvvpqMjIyAI4DxcBYM/sFsBh4MUgmErI+nTpuZsn41zekAd82syxgH3AXrTYcMLM38a8VPBZiph0ARbrg6NGj7Nq1i7Fjx3LBBRf09+GIiIiI9JqHH3645esxY8awd+/egPeccyebBu9uBH7hnPsIoKNMJFR9vev43cATwHvAt5xz4/DXdp1K6PVdT1vz1czmm1mZmZVVV1f30qmIRCafz8e3v/1tdu7cSVZWFtXV1eTk5JCRkcHy5ctbPtecAcOaMzNba2YlZvZAZ5mIiIhIJHHO1TnnNjnnKjvLRELVZyPaZnYGkAUsAb7inPvvprfKgMsIfROC025MoE0JRILbu3cvjz32GOnp6fh8PrZu3UpjYyMlJSXMmzePiooK9u3b15KZ2VlmdhnwDSDGOZdhZuuCZc65iv49QxERERGR/tWXI9qZwI6mWnTrzeybZhYDTAfKCb2+q2q+ivTA9ddfT3p6Otu2bWPnzp28+eabLRtmZWdnU1xcjNfrbb2J1jH815yHUxtmvdVJFkAzTERERERksOnLjvYNQHPx158C64H3gRLnXAGhb0KgjQlEesg5x4YNG0hISMDMSE5OBiAxMZGqqipqa2tbMqCRHizlcM495ZxLc86lDR06tPdOSkRERERkgOizqePOuftbfb0fuKrN+yFvQqCNCUR6xsxYs2YN//t//282bdrEnXfeCUBNTQ0nT54kNjaWurq65o+fQQ+Wcoj0Nbc0Dn4S3/2fFRERiUL672Pf6tNdx0/HOVcHbOpOJiKhWbVqFcOGDeP222/n888/Z/HixRQXF5Oenk55eTmXX345F154YUsGnIN/ican+KeGl+JftvFhkEykX9myL/CvUurGz5rhfhLe4xERERkI9N/HvjWgOtoikay7Twn7+gnh/PnzmTVrFk8//TRjxoxh+vTpTJo0iSNHjpCXl0dpaSlmRmZmJkeOHAFIAF4HHFBkZsPxl9VLD5KJiPSYRl5EBg5djyJdp462SJh09ylhXz8hTEhIID8/PyDzer3k5+ezaNEi4uPjAzLgQ+fcsaZj9QCTgUc7y0REekojLyIDh65Hka7TekoRISEhgVmzZpGUlNQuA040Z845n3PuZefcZ51lIiIiIiKDmTraIiIiIiIiImGkjraIiIiIiIhIGKmjLSIiIiIiIhJG6miLiIiIiARRVVXF2LFjAcjJySEjI4Ply5e3vG9ma82sxMwe6CwTkcFFHW0RERERkSDuvfde6urq2Lx5M42NjZSUlFBZWQlwlpnNAGKccxnAJWZ2WUdZfx6/iPQPdbRFRERERDqwdetWzj33XJKSkvB6vc3VOMjOzgaIBTzAy00ffwuYGCRrx8zmm1mZmZVVV1f32jmISP9QR1tEREREpI36+noeeughVq5cCUBtbS3JyckAJCYmApwJnAscbvqRo8DXgmTtOOeecs6lOefShg4d2lunISL9RB1tEREREZE2Vq5cyYIFCzjvvPMAiI2Npa6uDoCamprmj9UAZzd9HYv/d+uOMhEZZHThi4iIiHTTsWPHmDJlCtnZ2Xz3u9+lvr6+ww2ztIlW5CkoKGDNmjV4PB7ef/99XnvtNYqLiwEoLy8HqAd2cWpq+DeBg0EyERlk/qa/D0BEREQkUj3//PPcc889TJ48mdzcXF566aWWDbPmzZtHRUUF+/btC8hos4mWma1r2jDrG20z51xFv57gILZt27aWrz0eD6+++iqZmZkcOXKEvLw8gGPAFqDIzIYDU4B0wHWQicggoxFtERERkW5asGABkydPBqC6uprnnnsuYMOs4uJibaIVBbxeL3FxcXi9XtLT0yksLARodM59gb/dSoEs59yxjrL+Om4R6T8a0RYRERHpoZKSEnw+HykpKQEbZu3evTvUTbSuCZK145x7CngKIC0tzfXKCUmHEhISWh6aNHPO+Tj1gCRoJv3jxIkTXHLJJVxyySUArF69mk2bNvHGG28wbty4ls+Z2TJgKrDTOXd3sEwkVBrRFhEREemBo0ePsnDhQtatW9duw6yTJ09qEy2RfrR3717mzJmD1+vF6/VSX19PcXExO3fu5Ktf/SrAEDNLxT+DZBzwFzP7VkdZ/52FRCLdwEVERES6qb6+nptvvplHHnmEkSNHkpqaGrBhVkpKSrsMbaIl0mf+//buPc6qut7/+OvDcAkHJTQVJIG8ZKWgCZL8lOR0wGt68hpaREo/cjCzQzdveSlGrI6WmV0sKFNLTNNKQQFlDDgQIYYU3oq0UlGKaRQkgeFz/vh898yezd7DzDB79szm/Xw85jF7f/faa6+1Puvyva3vWrp0KQ888AAjR45k0qRJPPLII5x55pmYGSeccALA7sBxwL3u7sDDwOgCadvRrRxSSNG7jptZd2BN+gO4GDiLFnTNUBcOERER6cxmzJjBihUrqK6uprq6mvPPP5/bb7+9YcCspUuXYmYaREukRI466ijmz5/PgAED+NjHPsamTZs45JBDgIZbOboTt238OX0l8+zzrXnStqNbOVzBEQAAACAASURBVKSQjmjRHgb8zN3HuPsYoCct6JqhLhyd39atWxk0aBBjxoxhzJgxrFq1iquvvpqjjjqKiy5qrAMxs2vN7HdmdktzaSIiIl1NVVUVtbW1Dd1SJ06c2GTArL59+2oQLZESGjZsGAMGDABgxIgR+W7lMHQrhxRBR+wwRwMfNLNlZjYD+E9a1jWjzV04pGPonhcREZHtZQbM6t+/f7Np7l7r7ne7+9rm0kSk7SZMmMDKlSupr6/n/vvvZ+PGjbm3cryJbuWQIuiIUcd/B4x195fN7CdEzdAz6bPmuma0NG07ZjYZmAwwaNCg9lwXyZK552XBggUMHTqUQw45pMk9L9dcc02Te17M7GGiK1xdnrT5JVyVXUZdXR3jx4+nvr6eyspKZs2aRVVVFatXr+aUU07hyiuvBGDSpEkNaRmpouw9wIPuPq1Qmoi0nUbHFRFpX1dddRXnnXce7s5pp53GlVdeyejRo7nkkkt46KGHIMoUi4DpZnYTcGL6eyFPmkiLdUSL9pPu/nJ6vZyWd81ocxcOd7/V3Ue4+4i99967HVdFsmXueVm2bBlbtmxh06ZNuY8vydzzkv2okn0LpG1Hg0u0vzvvvJOpU6cyd+5c+vfvz1133UV9fT1LlixhzZo1PPfcc/ziF79okgb0MrMzgAp3HwUcYGYH50sr5bqJlAP1FBIRaV+HHXYYTz75JKtWraK6uppu3boxf/58Ro8enRkzYbO7bwPGAguBk9z9L/nSSrcW0hV1REH7djM73MwqgA8RhayWdM1QF45Ortj3vKjCpP1NmTKFcePGAbBu3TruuOOOhueBHn/88SxatIiampomaUSMxtD4PNC5xHGYL207qjARaTmNjisiUny9e/fmrLPOaug9BODum9z9Hndf01yaSEt1REH7y8DtwO+BJcA04L2pG8alwM+I7hptTZMS0T0vXdeSJUuora1l//33b9IL4ZVXXmHjxo25PRN6sBM9E1RhItJyxe4ppONRRESkYxT9Hm13/wMx8niD1KXtFOCmTDeMnUmT0tA9L13T+vXrufjii7n33nu58cYbm/RC2LZtW76eCaDROEU6xLBhw+jVqxcQPYUyhW3Q6LgiIiJdSUkuxC3tmqEuHJ2b7nnpejZv3szZZ5/N9OnTGTx4MMOHD2/SC2HIkCHbpQGbUc+ETqWuro6TTjqJ448/ntNPP53NmzczadIkRo0axbRpjWPS5UszsxlmtsTMrmwuTUpDPYWaMrM2/fXr16/Uiy4iIru4jhh1XHYhmXtesrn7JuCeHaWVAzNr9Xc6MkM4Y8YMVqxYQXV1NdXV1Zx//vncfvvtvPTSS8yZM4elS5diZowePbohjRgl/n5goZntR4wSfzTgedKkA2QGtRs3bhxVVVVNBrW74IILeO6551i1alWTNHIGtTOzmWkAu6G5ae7+XElXcBemnkKN4nbzwsxsh9NI59CWayN07PVRRKS9qaAt0k6ay/B1lgxhVVUVVVVVTdJOO+005s2bxxe+8AX69u0LQE1NTUPagAED6t39NTMbA4wDvubudQD50spBZ68wmTJlSsPrzKB2n/nMZ4DGQe2eeOKJJoPa/ehHPyo0qN1786SpoF0imZ5C2ebPn8+DDz7IJZdcwoEHHrjZ3bfp1irpKlRhIiK7KhW0RXZx/fr1ayiQNZfm7rU0FsgKpnV1XaHCJCMzqN2QIUOaDJi1YsWKlg5qd2SBtO2Y2WRgMsCgQYOKsj6S367eU0hERKQr0mApIiJdUGZQu5kzZ243gF0xBrXTaNUiIiIiLaeCdiehwV5EpKU0qJ2IiIhI56au451AV+qqKiKlp0HtRERERDo3FbRFRLoYDWonIlJ8dXV1jB8/nvr6eiorK5k1axZVVVWsXr2aU045pWE6M5sBvAd40N2nFUrr6jR6vEjrqOu4iEgZyAxg179//2bT3L3W3e9297XNpYmI7Ooyj1KcO3cu/fv3b/IoxTVr1kDOYxOBA8zs4HxppVyP9uDuzf41N8369etLvPQipaGCtoiIiIhIjilTpjBu3Dig8VGK2Y9NJAaQHMP2j0jMl7YdM5tsZsvNbPm6deuKsxIiUjIqaIuISNlpywCTGmRSRPLJPEpx//33b8ljE/ctkLYdPc1BpLypoC0iImVFXRxFpL009yjFpM2PTRSR8qYDX0REREQkx44epYgemyhdkHp8dRyNOi4iIiIikmNHj1JEj02ULmZHjwzWY4Xbl1q0RURERERyVFVVUVtbS01NDTU1NUycOJGamhqOPvpoFixYAFDv7q8Rg58tBf7D3evypZVqHUSkdNSiLSIiIiLSApnHJmZz91oaRxkvmCYiuxYVtEVEREREpCzV1dUxfvx46uvrqaysZNasWRx00EEccMABmUl6A5jZtcDJwDJ3v6hQmkhLqeu4iIiIiIiUpTvvvJOpU6cyd+5c+vfvz/XXX8+5557bcEsAsMnMhhMD2I0EXjWzsfnSSrYS0iUVvaBtZn3NbI6ZzTWz+8ysp5n91cxq0t/QNN21ZvY7M7sl67stShMREREppVdeeYXRo0cDsGXLFk499VSOOeYYZs6cuV0asBeAmfUws1+b2WIzu6BQmoi03ZQpUxg3bhwA69ato3v37jzwwAOMHDmSSZMmZSY7DrjXYySwh4HRBdK2Y2aTzWy5mS1ft25dsVdHupCOaNH+CHCjux8PrAUuBX7m7mPS36qW1iKpZklEREQ6m9raWiZOnMjGjRsBuPnmmxk+fDiLFy/mnnvu4fXXX2+SBvQzs92Bi4HH3f0Y4Kxm0kRkJy1ZsoTa2lrGjRvH/PnzWbZsGVu2bAHoC1QCL6ZJ1wP7Fkjbjrvf6u4j3H3E3nvvXdyVkC6l6AVtd/+Ou89Lb/cGtgIfNLNlZjbDzLrT8lqkFtUsiYiIiHSUiooKZs2axR577AFATU1Nw4BZ73//+1m+fHmTNGADMIIYmTozYNZvmkkTkZ2wfv16Lr74YmbOnMmwYcMYMGAAACNGjAB4C3FM9k6T9yHKSPnSRFqsw3YYMxsF9APmAWPdfSTQgxhgoKW1SC2qWVIXDpHmqYujiEj72WOPPejbt2/D+40bNzJw4EAA9txzT1555ZUmaUSjQ5vzOsrniLTc5s2bOfvss5k+fTqDBw9mwoQJrFy5kvr6eu6//36AN4DHiV6zAIcDzxdIE2mxDilom9mewM3ABcCT7v5y+mg5cDAtr0VqUc2SunCIFKYujiIixdWnTx82bdoEwIYNG9i2bVuTNKCCncjrKJ8j0nIzZsxgxYoVVFdXM2bMGA499FAmTJjAEUccwahRowBeBxYB7zWzm0i3uRZIE2mxjhgMrSfwc+Ayd38BuN3MDjezCuBDwEpaXoukmiWRndTRXRzV8iIiu5rhw4ezaNEiAFauXMmQIUOapBEF6edRXkek6KqqqqitrW0YZfzqq6/mySefZNWqVVRXVwPg7tuAscBC4CR3/0u+tJKthHRJHfEc7UnAkcAVZnYFsAC4HTDgV+4+38y6AdNTjdGJ6e+FFqaJSCtkCtgZxe7i6O63ArcCjBgxwttzXUREOqOJEydy8skns3DhQlavXs373vc+Bg4c2JBGFLR/S5w/Z5vZaOA9zaSJSJG5+ybgnh2libRURwyG9l1375c1yvi17j7M3Ye6+xVpmhbVIu0KNUtm1uQvN026hq4Ux2J3cezKulIcpTDFsTx0hTimZ/IyePBg5s2bxzHHHMP8+fOpqKhokgY86+71qaffOGAxMX5N3rTSrE1xdIU4yo4pjuVBcSyuTpMpdvdN7n6Pu69pbVo5cfdm/6Rr6EpxVBfHwrpSHKUwxbE8dLU47rfffpxzzjlNBknLpAENhWd3f8nd73b3uubSykVXi6PkpziWB8WxuDqi67iIdGLq4igiIiIi0r46TYu2iHQsdXEUERERESkOFbRFRF0cRURERETakQraIiIiIiIiIu1IBW0RERERERGRdqSCtoiIiIhIOzOzGWa2xMyuLPWyiEjHU0FbRERERKQdmdkZQIW7jwIOMLODS71MItKxrNyfkWZm64AXSr0cO+FtwD9KvRBtNNjd926PGSmOJaU4NlIcURxLTHFspDiiOJZYwTia2beAh9x9tpmNB3q7+49yppkMTE5vDwGeKerSFldZxrG1dDyWVLvFsb2U/XO0O9sGby0zW+7uI0q9HKWmOJYHxbE8KI7lQXEsD4pjp1UJvJherweOzJ3A3W8Fbu3IhSqWMo5jq+h4lGzqOi4iIiIi0r42AL3T6z4ozy2yy9FBLyIiIiLSvh4Hjk2vDweeL92iiEgplH3X8TJQFl2KRHEsE4pjeVAcy4PiWB7KNY73AwvNbD/gJODoEi9PsZVrHHc1imM7KvvB0EREREREOpqZ9QPGAb9x97WlXh4R6VgqaIuIiIiIiIi0I92jLSIiIiIiItKOVNDuxMxsXzNbWOrlkJ2jOJYHxbE8KI7lQXEsD4pjeVAcy4Pi2P5U0O6k0n09txHPYZQuSnEsD4pjeVAcy4PiWB4Ux/KgOJYHxbE4VNDuvOqBDwOvlXpBZKcojuVBcSwPimN5UBzLg+JYHhTH8qA4FoEe79VJuftrAGZW6kWRnaA4lgfFsTwojuVBcSwPimN5UBzLg+JYHGrRFhEREREREWlHKmiLiIiIiIiItCMVtEVERERERETakbl7qZdBREREREREpGyoRVtERERERESkHamgLSIiIiIiItKOVNAWERERERERaUcqaIuIiIiIiIi0o7IuaJtZRTvPbzcz698O83lL1useZtZjZ+eZ5ze6m1lvM9vHzN5tZseb2cW5v9XaZTGzIVmv22X/MbMD2vCddolF1vz2MrP90uv3mNlb2zgfxbbpPJuNreLY9eOoGHZMDM1sdzN7904sa6vPs+l7Pdv6m3nmpdh2nmuoYtFJYtHeFNvmY2sh7/fNrHe+76S0FsXWzLqlZeye89fDcsolZtY3k2ZmB7dk/i1cBu0DneT47jIFbTOrMLM6M6sp8PevPBv9YjObVGB++5jZ6en1583sEwWm62Zmlt4eC/xP1mfdc6Y91cxGZb3/qZn1yjPb+83suLQTnA/MNLMhZnZg7jxz5v9OMzsovR5vZtPS6z0z65LenwwsAR4AZgPTgPcArwK7tXVZzOyLwJFZSVVm9uncE0fOdw5NsXnEzOanWL1sZgvTcvcETjWz8wrNI2teLY5FSrvFzC5My3hNns/Hmtn09HYv4Mb0+kvAwJxpbzazI3a0jJRpbM1sbzN71Mx6pjj0M7N7UxwfzYrvfDP7jaWLFXliqziWJo4FYnhnmteinBjmi+NHsn5HMezgGAJHA5fnWd59zOx/U7wysdtQIIb3mNlJ6XsVZrYgz/y+ZWYD0uv3AT8stK3SNIptca+hA3Nim3189kmTnWpm5ykWRY/FgGZisd25Mh1jB6f5XpqWpW/67DQz+++s6Qaa2W1Z73MLh4ptG2JrZgOBJ9J2W2BmBhwEzMia3szs+2b2G+A5M1sBPGVmT+XEtsrMvm5mX7TI3xcqQx0C3AR8E3gI+HV6/S1gaM60VwEfS68/Z2a7pWXSdbTzHt87LK9kK7iROht3rzezlcAH0vttEAcIYMCjQL2ZzQMyBe6BwJtmNiG9f93dT02v/xMYBtwHbAG2FvjpE4DPp9+pT79ZAzjQzcxOdPdNadolwA+A083sGKDW3d/MnpmZHQi8CfQCzgaOSq/PIuJxC/B6gWV5O3CzmY0G/g1sTQf6DODhrO3xsLvPTu/HA1vd/Z702VvNrLu7b23NsqQde393/2rW8kwApgO/N7N6oCdxgjnU3Z9O03wOeCpt65XAX4j4HAHcAdzg7jdZZPh/7e6F1h1aFwuAOuCNtI75WmX+TewfewG3ApVpfkOBAWZ2CbAqLe+eaX6Y2f5AptDxL3f/Xkov59gOAfoCa4EVwN+A/kRcFwI3AIcR8X4TWGUN5TAGmtk2d78rvVccSxBHYD+gd5rfEuAZIq6raIzh+4APAdvS9xekOHYDupvZr9Ixqhh2QAzN7Argi8ALwMHpp88gMiB3Ehm0rcBmYCzg6Vq51N3HWlRkbkuZi1PTtss4GviTmR2W3r/q7q8C3wfuMLNz0+t/mNkiYA9guLtvydleim1xr6HTiOOqOzA4/d5a4pj8MjA1cw0FXlYsihcLd38ZeH+B9cmYA9SY2VXA/wMuBt6RluG9wAoz+xZwLXGu/DRxfK8ADjWzdcCfiGvp4qz56jhrZWzTeW8rURb4OzAceAKoBA40s+tSbI8ANrr7+y0K22OJ69pMoCrrWvYKUcD7bYrPkBS/jOmZdSfOyRD5pHri2gvwHTMb7+5/NbNDgInAUjM7EziGyC8B9DKzs9y9Lmv+2gdKfHy3orzSoMu0aCfbgFOA2Wa22syWEDUgH4aGwnd/dx/j7mOIQvSFWe+zm/zPA45PO+GngEstWlsXm9mFmYncfY67fwB4C/ARdx8LfBX4q7sflzkAzeztwB+Afmme1cRJ81/WtKblOqLgOR84mTjxvgv4IPC75gLn7o8SmeHs9TgAWJo5MIjM2Bwze9DMniJaI240szVErdpdwIA2LMsEYkcmre+pQB93/6W7D3X3I4AHgc9mdlozG0fszNOB36XvH5C23wPAte7+SJrlHUQGv6CWxMKi1e7n6SubiX3G0/J0T/tNL2taq9UDWAf8f2ADcC7wNLA7UTh5BDgRuN3MXiQKGe8BlqdpM8oytsDngZfS7y2lQBzd/SZ339/dDwIOdveD0uszaKz8UhxLEEdgKlGz/lCa39fJH8Pr3H2kux/t7kcDo9LrkcAVpGNUMeyYGBIVwmuJjOCzwLuB7wD/TWRkTgPmAocDC4CPmtlC4H3p/8Ppu4cAhwL7EBm9U4lr4F/TctwGHJAyQmuIa+p9wDyiJebZ9H4MgGLbMdfQ5IJ0TI0hMqnXpzzNscBns2JxR1oXxaJIsUiZ/7wyn7n7s0Qr5UJgJPBn4vr5KvAiUcE1lajEGkUUzE8gYnZU+uxSd1+s42ynY3sScc3rSzQE/CbF9tG0vgeZ2YlEHucEM3s0TTebOHcOBB6y6DXUjWgh/j7wVqLQvS9RkL8e2Bvok7ZzZv6Ppc++lt4vBhYBPSxaSGcQcV2a/jak/48D33f3Ou0Dnev4TnZYXsnWZVq0szxInJg+Q+wUi4gd75Pp8/qsaY8mWnIytgCY2XCgu7sPT+8/Q9Ti/LiZ372NOCneT9T83JI2vKUC/mbgIXf/ePaXUqE70+JzNpEh+ou7bzOzSmKHgKhA6NfcilvUWA9I67sncVAfmz57h7tfmE7yx1t0x5gEfBuoJWrolgM/dPfNbViWA939qfRblURFQqbGLtPF8J3u/vlMmrvPM7MbiYzeAOLA6E0cAAa808xGpsmXEt1bbs9Z54qYlW/LSm4uFuvM7F2WuqzkGA6scfc3zeyzRE3YXsRx0D39PkQm9qm0Dn8HjjWzx9I2/AFxwVzj7vPTvlPWsQVeIzIIdxD78hhgGXHx6AOcbGbPp9fbgH+m6c9M388bWxTHDotjOhYriVr4yTTGcD1wHDDSohvqWvLE0aJlNF8cFcPixvBtREbpWqIl45PAO4G7ge+k33gr0YLSmzgm30jzOohoKbuMuE5eThTOh6Zl/BGR6Xo38FZ3X2pRYfwN4JdExcpVxDX3cOAnaf7zFNuOuYYmy81sC9Equg2osOjp8E/gRXc/08zeRWT8B+R8V7EoXiwKnSsrgClEwetWIt8zAKggWuR+QlRm3QScQ8ThAqKA913ifHpSioWOs52ILVH52JPozfpli9ujniDyMb2AT6RtvxioAfZP2y5TaM7E9rtEIfsqYBDRSj2HKFBvcPe1ZrYpzfcxovfmfcQ+soFo0R0BbHL3zK0770zzvZ5UgUn0Gsq8rgPtA53t+E7TFcrT5tUVC9pDiVqStxMnqdeBS3MnSoF7AzjHzAa4+w1ZH/cBrjazCnevz/led3ffmvX+MqKryKvp/efSR18nCoufI7phdgNGWBSss/UnTrBbgT8SFQRj0me9icwQREtDs9z9I/nSU0br/vT6MOJk8AKxExxJnDR+QRyA88zs+p1clvHEBeSj6Te7ETE5N8+0PyRaR/YhnTiIglsd0VJyOZER3Az0NrMLcr7fE7gE+EErYnF3+s1cZ5AODHe/wcx+SxzQtxAnu6VEoeM3xH6WXUPW0923WNxfVcf2yj2284ieCW+kefQgumLtll6PB8YB/85TYbWJxm5TrTmmFMf2jeONRMH6Ghpj+F7geeJY/AjRmvIYUSnZHRhsZsuJC81/pWVQDDs2hl9I3/8AUZiaTNzrdwbRVfi89B+iS2NfomvkeuC4lAk7mIhVFZGJ+BhwL9Fi/g6i0gV3/7uZnUNcXzcRmf9riJaIa4gWkQzFtgOuod7YIPBLonV0L2BBznn2buLWgNw8nWJRvFhMJc81z+PWjfOJ1rieREtit/T6T8AL7r4SGGNm8z26K59HVHzdR7SYZld06zjbudj+FLjczD5JnNM2ErfjTAPOyuT3LRp9VhB59Q1EvHoAp7j7P9P8TjCzB4l4/gh4jmhRzV53JwqLY8zsY8R1ci3Ru/bprOmeBZ61uJf4ypT8w/S6G9F1vJ+716J9oNMc30mTPO2OdLmCdjpBjU0Zuz8QzfePZ09jZh8gauUz3e7uSAdZZh6PpVrHRWb2JpGp2GpmHydqnk7Mmt1bgMvc/d4dLNqbRI1VJVHrcbe7/8vMBpPud3T31ZYGOkgGEDVqEAXyec39gEUt9gfTb2XrTuM95k+neVYSLR+Lifu4egFXufttZmbu7q1clk1m1sfdNxA1svWkHZeoEZzj7n/Ls9jvIHbYbxOZ+ZOIFpEfZ03zFYvRdE939+ua2QQtjcV96fdqstK6Ed0sr8mdONUY/pPGE9k5wJtpX8PM9iROvBAFy4155lHWsSVOflNTq9dZwNu88T6e5aQCVwHvIO7pzlAcSxPHl4muUtvFMC37F4g4TiPPxSUdo5k4KobFj+FCorvc7kQG/TziWLyBuK+sNtX0v0pkCq8jMulziJaZZcD3U+XlWqIF4EKiguzbxPb7YZr/aTnrOQ74FfCou49PBYKxZjY/azrFtmOuoRkDiZayvfJ8dh9xP+lrWWmKReFlaY9Y5L3mWYz0fD2x/VcTldObiYz5w0SlZa4+xHb+bp7PdJy1PbYb0nJsJXpfTSEKrS8SFR7ZYzN9iajI6k+UAT4LHJNVyMbMPkqcL18EPk5UVuau+35EueRMojfQCuAe4Avps8eAWe6+Jn3lGaJCEyKPfBhRWb0bUQlei/aBTnN8J7l52mZ1uYK2mX2JGGCikjgYNrP9jvZP4MMeXSSwGAytG1GbD0StI9FFZ0ddx/sTB8uO3EW05vwH0Z3km8SBeAJxn84n8nznH6SanTRNs9y9mugC0UR2DRHR9eTnRI0LxMl9IFGbdZ/FKOiXEd0yWrMss4kTx22eBsOxxlsWJhOVGpnlGUp0Q9lI3Jv0DeBAosZqLXBEOmG9F9jbo1v4OcTJpDktioW7/8HMxtJYSwhR2THCG++pryS63ZyRTjr7AN8jKlqg6ei+p9B0UJKWKLfYVgHTzKwfUev4dCqsVRIDor2RPUMz6+GNgyadk5Yv01tEcSxNHH9NxLAX0YXrmRRDiErC5e7+etZ38sYxvVYMixzD9P57NNbcf4roVXAZUTk5k2ih+DrRDfUtRFyuIa6NjwGjgYuIruA9iIzknencvNHM6ohB0DKZLtJv9CcK78dZ9NI6LP3fL2s7KbatW5a2XkMz7/9F05bOhuMzxWIOTVt3FIvCy7LTsSh0rnT3l9L2/TNR4PowcS9vBXE8vkHEoBLoazHy+NuJY/4MYsDY7O2k46x1y5J9Dv0VkR9/yt3/bWaDiN5Ae6XlGUp0459E5GOuTt+ZTBRib03T9SCukZ8mBhPbTLSKH0KM73QscQvONOI8u42oZBlLFJqnpfW7kLj2vpHm24fIT+V2fe4H3OTuf0nbU/tA65alaMd3etuS8kqDrlbQrnD3r+T7wGIgs27EvYErsz/L2tDd0n8DunlOt/GseXWn8R6OY4hRIwtKtVRvEhfCre7+iJn9zmLku3rgZTM70t1XEAddN4sW9Tri3jmIwRWwPN3Zs9eROLi25XzUEEd3X0/TnWh/4Dp3n8D2WrMsDwCzzGyOx8i0aRLrD7zsTQciuJa4Z3ABcRBdRHRpXE6Mcvw0UQN1D/ARi+4uA939yXzrnX7oLbQsFr2AbR5dYpp85u4bU2wriEqQvsDZ7v6Mmd1F430tmW2TOcF+Fjg77Tc902cXmtmH0rzI+k5ZxtZilNS/EQNe3UGcpBek7/6RuABdCbiZXQnsaXGvy7/Tb04iRqn+JYpjSeJIFMj+RNQyP0NcjK4lLvx3EyOMP0lc/CrM7FPECKiZ7nYDgT+a2bMohh0Rw0zXwgpie++btlMVkXFbmLbdb4lrVTXwCXd/NW3vtxGD4VxHdB+cQ3SXW5O23yeJuO5mZue4+91pGS4iMvyvu3uTe34tHutWkbaFYlvka6jFvYRnE4P+PEd0Q90NeL/FI0kPsBgl+ctEK89L2QunWBRcljblZ1Je704aG062EccZwJfNbDVxPO5DtIj1I1rQjgAqM8eYxQjTlxMDGT5DFMgvJXqSfJ+I67lEQU/H2U7E1sx2pzG2W4nz5Ow07Q1ExcabxC2Ks4kC3FTiWHp7mu7LROHuCuL8+6S7v2ZRpviJu19jZj8kxn76E1HAxaKX7O5EA9xnUx43O5+7Cfibx2Ci2dvvQlIsdB1t07IU+/hutrySq8sUtNMOPcy2vwc64whifSrzfHcQMVLdkpQ0HLghFQSyp8t0LehFDLk/HrjL3ZvUIudbPKKr0DrgfDM7LqXvB3zF3b+UNW0vInCz0/TXZH12VFqHu8jDuRqvEQAAAsFJREFUY9TR7X88aohm50l/O5GBzju/1iyLu7uZTSVq6H6apulNXEw2WzyP1VPaemCxxTPF5xL3i1xObM9txMVkMjGS7YNE7VDmHs9CptKyWHwUmJwV24YTWDqJdCdquW7J+V53IoOZOVD3Tf9PJQaRWEPcojCL2G7fSyfXT2bNo1xju5S4R7OWqM2dSwwIMps42X3Vo5vRg0TXt0rito4LiNj+1N1fS8t9OYpjdnpHxbEHMcL0K0SXsU3p/X5Ezf8X3f3bQLU1DtJSSVxUmsRRMdwuvSNieB/RK+gmGs+zvyVaqt9FXP/OdfdMLf9m4jads4heRF8jYrggLc8MogdDVcp4/U+6xv6ROC+/BjxmZpnWkIwKoqINFNtWLUtbrqFEpfQkYmT/zH2N2cfnMuB/ievoWmLkYMWiOPmZAUQvkc+7+7L0nRrguxY9g9YSlZnfAH5MFM7Gp9d7EoWELxIVlpd54/2g5wCPZzUIPU80QkxH59BWL0t2bM3sZ0QLtROxNaJi+XCiJXQLcS7MHGtPEdvlc0Sl1nSLHgePEbE4h8jPZuLwe6KiBGJ75z768G6ih9BuRCXn73M+3w043JrekgOxj3wzvdY+0MplKfLx3ZLyStN1c/fWTF9SZtazBZm7Qt/NbvZv6XfeCrzmTUe8Lro8lQl17v5fbZyXeQmD3JbtXmA+JYlF+u1envM89J2YV01O0i4VW8Ux77y6VBwVw7zz6lIx7IwU24K/3+GxVSwK/v4OY2Fm3QqdG1NlFtmfm9nbgM2Zyuhi29Via2bDgD94jFbdZLDjnOl29zyPq2ounq1cjrzb3cx6e+NzujvErrYPtOL3i3Ku7VIFbREREREREZHOrlupF0BERERERESknKigLSIiIiIiItKOVNAWERERERERaUcqaIuIiIiIiIi0IxW0RURERERERNrR/wGojPh5YCgijQAAAABJRU5ErkJggg==" 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