一,要读取的数据的格式:
二,数据读取部分:
b站视频参考:https://www.bilibili.com/video/bv14c4y1w7nj?t=148
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# 1930
workbook = xlrd.open_workbook( '1930.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a1 = []
b1 = []
# sheet.cell_value(i,0):第i行的第0个元素
for i in range ( 1 ,sheet.nrows):
a1.append(sheet.cell_value(i, 0 ))
b1.append(sheet.cell_value(i, 1 ))
if len (a1)! = len (b1):
print ( "false" )
drawbar(a1,b1, 1930 )
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三,画图函数
1. def drawbar(music_genre,singer_num,year)
参数介绍
参数名 | 参数含义 |
---|---|
music_genre | 音乐流派名称list |
singer_num | 音乐流派对应音乐家数量list |
year | 读的文件的年份(因为源代码是从1840到2020的) |
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def drawbar(music_genre,singer_num,year):
arr_len = len (music_genre)
# 由循环得到一个字典,key是音乐流派,value是这个音乐流派对应的音乐家的数量
i = 0
dict_music_singer = {}
while i<arr_len:
dict_music_singer[music_genre[i]] = singer_num[i]
i = i + 1
# 注释1
pyplot.bar(x = 0 , bottom = range (arr_len), height = 0.3 , width = singer_num, orientation = "horizontal" )
# 注释2
pyplot.yticks( range (arr_len),music_genre)
# 加title,展示图像
pyplot.title(year)
pyplot.show()
...
...
drawbar(a1,b1, 1930 )
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注释1:
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"""
水平条形图,需要修改以下属性
orientation="horizontal"
"""
import numpy as np
import matplotlib.pyplot as plt
# 数据
n = 5
x = [ 20 , 10 , 30 , 25 , 15 ]
y = [ 0 , 1 , 2 , 3 , 4 ]
# 绘图 x= 起始位置, bottom= 水平条的底部(左侧), y轴, height 水平条的宽度, width 水平条的长度
p1 = plt.bar(x = 0 , bottom = y, height = 0.5 , width = x, orientation = "horizontal" )
pyplot.bar( range (arr_len),singer_num,align = 'center' )
pyplot.bar(x = 0 , bottom = range (arr_len), height = 0.5 , width = singer_num, orientation = "horizontal" )
# 展示图形
plt.show()
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注释2:plt.xticks的第一个参数和plt.plot的第一个参数一样,第二个参数是和第一个参数相同长度的list此例中用来代替横坐标
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import matplotlib.pyplot as plt
x = [ 1 , 2 , 3 , 4 ]
y = [ 1 , 4 , 9 , 6 ]
labels = [ 'frogs' , 'hogs' , 'bogs' , 'slogs' ]
plt.plot(x, y)
# you can specify a rotation for the tick labels in degrees or with keywords.
plt.xticks(x, labels, rotation = 'vertical' )
# pad margins so that markers don't get clipped by the axes
plt.margins( 0.2 )
# tweak spacing to prevent clipping of tick-labels
plt.subplots_adjust(bottom = 0.15 )
plt.show()
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1.1 效果:
1.2 完整代码
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import pandas as pd
import numpy as np
import xlrd
from matplotlib import pyplot
def drawbar(music_genre,singer_num,year):
arr_len = len (music_genre)
i = 0
dict_music_singer = {}
while i<arr_len:
dict_music_singer[music_genre[i]] = singer_num[i]
i = i + 1
#pyplot.bar(range(arr_len),singer_num,align='center')
pyplot.bar(x = 0 , bottom = range (arr_len), height = 0.3 , width = singer_num, orientation = "horizontal" )
pyplot.yticks( range (arr_len),music_genre)
pyplot.title(year)
pyplot.show()
# 1930
workbook = xlrd.open_workbook( '1930.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a1 = []
b1 = []
for i in range ( 1 ,sheet.nrows):
a1.append(sheet.cell_value(i, 0 ))
b1.append(sheet.cell_value(i, 1 ))
if len (a1)! = len (b1):
print ( "false" )
drawbar(a1,b1, 1930 )
# 1940
workbook = xlrd.open_workbook( '1940.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a2 = []
b2 = []
for i in range ( 1 ,sheet.nrows):
a2.append(sheet.cell_value(i, 0 ))
b2.append(sheet.cell_value(i, 1 ))
if len (a2)! = len (b2):
print ( "false" )
drawbar(a2,b2, 1940 )
#
workbook = xlrd.open_workbook( '1950.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a3 = []
b3 = []
for i in range ( 1 ,sheet.nrows):
a3.append(sheet.cell_value(i, 0 ))
b3.append(sheet.cell_value(i, 1 ))
if len (a3)! = len (b3):
print ( "false" )
drawbar(a3,b3, 1950 )
# 6
workbook = xlrd.open_workbook( '1960.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a4 = []
b4 = []
for i in range ( 1 ,sheet.nrows):
a4.append(sheet.cell_value(i, 0 ))
b4.append(sheet.cell_value(i, 1 ))
if len (a4)! = len (b4):
print ( "false" )
drawbar(a4,b4, 1960 )
#
workbook = xlrd.open_workbook( '1970.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a5 = []
b5 = []
for i in range ( 1 ,sheet.nrows):
a5.append(sheet.cell_value(i, 0 ))
b5.append(sheet.cell_value(i, 1 ))
if len (a5)! = len (b5):
print ( "false" )
drawbar(a5,b5, 1970 )
#
workbook = xlrd.open_workbook( '1980.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a6 = []
b6 = []
for i in range ( 1 ,sheet.nrows):
a6.append(sheet.cell_value(i, 0 ))
b6.append(sheet.cell_value(i, 1 ))
if len (a6)! = len (b6):
print ( "false" )
drawbar(a6,b6, 1980 )
# 9
workbook = xlrd.open_workbook( '1990.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a7 = []
b7 = []
for i in range ( 1 ,sheet.nrows):
a7.append(sheet.cell_value(i, 0 ))
b7.append(sheet.cell_value(i, 1 ))
if len (a7)! = len (b7):
print ( "false" )
drawbar(a7,b7, 1990 )
# 2000
workbook = xlrd.open_workbook( '2000.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a8 = []
b8 = []
for i in range ( 1 ,sheet.nrows):
a8.append(sheet.cell_value(i, 0 ))
b8.append(sheet.cell_value(i, 1 ))
if len (a8)! = len (b8):
print ( "false" )
drawbar(a8,b8, 2000 )
#
workbook = xlrd.open_workbook( '2010.xlsx' )
sheet = workbook.sheet_by_index( 0 )
a9 = []
b9 = []
for i in range ( 1 ,sheet.nrows):
a9.append(sheet.cell_value(i, 0 ))
b9.append(sheet.cell_value(i, 1 ))
if len (a9)! = len (b9):
print ( "false" )
drawbar(a9,b9, 2010 )
# #
# workbook=xlrd.open_workbook('2020.xlsx')
# sheet= workbook.sheet_by_index(0)
# a2=[]
# b2=[]
# for i in range(1,sheet.nrows):
# a2.append(sheet.cell_value(i,0))
# b2.append(sheet.cell_value(i,1))
# if len(a2)!=len(b2):
# print("false")
# drawbar(a2,b2,2020)
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以上就是python读取excel数据并且画图的实现示例的详细内容,更多关于python读取excel数据并且画图的资料请关注服务器之家其它相关文章!
原文链接:https://www.cnblogs.com/zhengyuhu/p/14387544.html