第三章 numpy的常用函数
1.savetxt 2.loadtxt (converters): datetime.datetime.strptime [p46] 3.average 4.mean 5.max 6.min 7.ptp 8.median 9.msort/sort 10.var 11.diff 12.std 13.where 14:take 15:argmax ----- * 16:argmin ----- * 17.ravel 18.split\hsplit\vsplit 19.apply_along_axis 20.maximum ----- * 21.minimum ----- * 22.convolve 23.eye 24.zeros 25.ones 26.linspace 27.exp 28.fill 29.linalg.lstsq 30.dot 31.ones_like 32.intersect1d 33.vstack\hstack\dstack\column_stack\row_stack 34.concatenate
ndarray常用函数和属性
ndarray的常用函数 1.mean 2.ravel 3.sum 4..clip 5.compress 6.prod 7.cumprod 8.tolist 9.astype 10.resh ndarray的常用属性 1.ndim 2.size 3.itemsize 4.shape 5.dtype 6.nbytes 7.T 8.real 9.imag 10.flat
第四章 numpy的便捷函数
1.diagonal 2.trace 3.cov 4.corrcoef 5.std ddof=1 6.polyfit 7.polyval 8.roots 9.polyder 10.sign 11.piecewise 12.vectorize 13.hanning 14.polysub 15.isreal 16.select 17.trim_zeros
第五章 矩阵和通用函数
1.mat ① 专用字符串： " "行间隔， ";"列间隔 ② 数组 2.bmat 3.frompyfunc 4.zeros_like 5.add.reduce 6.add.accumulate 7.add.reduceat 8.add.outer 9.add\subtract\multiply\divide\true_divide\floor_division 10."/" "//" 11.mod\%\remainder\fmod 12.matrix
第六章 深入Numpy模块
1.np.dual 2.np.linalg.inv 3.np.mat 注意，矩阵乘法和数组乘法不相同，与数组dot方法相同 4.np.linalg.solve 5.np.linalg.eigvals 6.np.linalg.eig 7.np.linalg.svd 8.np.linalg.pinv 9.np.linalg.det 10.np.fft.fft 11.np.fft.ifft 12.np.all 13.np.linalg.fftshift 14.np.linalg.ifftshift 15.np.random.binomial 16.np.random.hypergeometirc 17.np.random.beta chisquare exponential f gamma gumbel laplace lognormal logistic multivariate_nomal noncentral_chisquare noncentral_f normal
第七章 Numpy专用函数
1.np.sort lexsort argsort ndarray.sort msort sort_complex 2.np.argmax 3.np.nanargmax 4.np.argmin 5.np.nanargmin 6.np.argwhere 7.np.searchsorted 8.np.extract 9.np.insert 10.np.nonzero 11.np.bartlett 12.np.blackman 13.np.hamming 14.np.hanning 15.np.kaiser 12.np.i0 13.np.sinc
第八章 质量控制
1.np.testing.assert_almost_equal 2.np.testing.assert_approx_equal 3.np.testing.assert_array_almost_equal 4.np.testing.assert_array_equal 5.np.testing.assert_array_less 6.np.testing.assert_equal 7.np.testing.assert_raises 8.np.testing.assert_warns 9.np.testing.assert_string_equal 10.np.testing.assert_allclose 11.np.testing.assert_alloclose 12.np.testing.assert_array_almost_equal_nulp 13.np.testing.assert_array_max_ulp 14.import unittest from numpy.testing.decorators import setastest from numpy.testing.decorators import skipif from numpy.testing.decorators import knownfailureif from numpy.testing import decorate_methods 15.numpy.testing.decorators.deprecated 16.numpy.testing.decorators.knownfailureif 17.numpy.testing.decorators.setastest 18.numpy.testing.decorators.skipif 19.numpy.testing.decorators.slow 20.from numpy.testing import rundocs
第九章 使用Matplotlib
1.import matplotlib.pyplot as plt 2.np.poly1d 3.plt.plot 4.plt.xlabel 5.plt.ylabel 6.plt.show 7.np.poly1d.deriv 8.plt.subplot 9.plt.title 10.plt.figure 11.plt.figure.add_subplot 12.axis.set_major_locator 13.axis.set_minor_locator 14.axis.set_major_fomatter 15.figure.autofmt_xdate 16.from datetime import date 17.date.today 18.plt.hist 19.plt.semilogx 20.plt.semilogy 21.plt.loglog 22.plt.scatter 23.figure.set_title 24.plt.grid 25.plt.fill_between 26.plt.legend 27.plt.annotate 28.np.meshgrid 29.plt.plot_surface 30.plt.contour/plt.contourf 31.np.random.rand 32. import matplotlib.animation as animation 33. animation.FuncAnimation 34. from mpl_toolkits.mplot3d import Axes3D
第十章 SciPy
0.from scipy import stats 1. stats.norm.rvs 2.stats.norm.fit 3.stats.kurtosistest 4.stats.skewtest 5.stats.normaltest 6.stats.scoreatpercentile 7.stats.percentileofscore 8.stats.ttest_ind 9.stats.ks_2samp 10.from scikits.statsmodels.stattools import jarque_bera 11.from scipy import signal signal.detrend 12.from scipy import fftpack fftpack.fftshift fftpack.rfft ffpack.iffshift ffpack.irfft 13.from scipy import optimize optimize.leastsq 14.from scipy import integrate integrate.quad 15.from scipy imprt interpolate interpolate.interp1d interpolate.interp2d 16.from scipy import ndimage ndimage.median_filter ndimage.rotate ndimage.prewitt 17.from scipy import misc image = misc.lena().astype(np.float) 18.plt.imshow(image, cmap=plt.cm.gray) 19. from scipy.io import wavfile wavfile.read wavfile.write 20.np.tile 21.import urllib2 urllib2.urlopen