python读取excel数据并且画图

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

# 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)

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)

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)

注释1：

"""
    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()

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

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()

1.1 效果：

1.2 完整代码

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)

2. 使用`seaborn`作图

1.1 代码分析

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)

数据读取

# 1930数据的读取
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))

函数的定义与调用：

# 见例1,2
def drawBar(Music_genre,singer_num,year):
    pyplot.figure(dpi=150)
    # y轴放Music_genre对应的list，x轴放singer_num对应的list
    sns.barplot(y=Music_genre, x=singer_num)
    pyplot.title(year)
    

drawBar(A1,B1,'123')

例1：

import xlrd
from matplotlib import pyplot
import seaborn as sns
import numpy as np
import pandas as pd
%matplotlib inline

# 显示正负号与中文不显示问题
pyplot.rcParams['axes.unicode_minus'] = False
sns.set_style('darkgrid', {'font.sans-serif':['SimHei', 'Arial']})

# 去除部分warning
import warnings
warnings.filterwarnings('ignore')


plt.figure(dpi=150)
a = ['金融','农业','制造业','新能源']
b = [164, 86, 126, 53]
sns.barplot(a,b)

例2：

import xlrd
from matplotlib import pyplot
import seaborn as sns
import numpy as np
import pandas as pd
%matplotlib inline

# 显示正负号与中文不显示问题
pyplot.rcParams['axes.unicode_minus'] = False
sns.set_style('darkgrid', {'font.sans-serif':['SimHei', 'Arial']})

# 去除部分warning
import warnings
warnings.filterwarnings('ignore')


plt.figure(dpi=150)
a = ['金融','农业','制造业','新能源']
b = [164, 86, 126, 53]
sns.barplot(y=a, x=b)

1.2 执行效果

1.3 完整代码

import xlrd
from matplotlib import pyplot
import seaborn as sns
import numpy as np
import pandas as pd
%matplotlib inline

# 显示正负号与中文不显示问题
pyplot.rcParams['axes.unicode_minus'] = False
sns.set_style('darkgrid', {'font.sans-serif':['SimHei', 'Arial']})

# 去除部分warning
import warnings
warnings.filterwarnings('ignore')

    
# 1930数据的读取
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))
    

#
def drawBar(Music_genre,singer_num,year):
    pyplot.figure(dpi=150)
    sns.barplot(y=Music_genre, x=singer_num)
    pyplot.title(year)
    

drawBar(A1,B1,'123')

四，总结

有一说一确实seaborn会简单很多，画的图还好看

五，代码使用到的数据

链接：https://pan.baidu.com/s/1NfrF7fvwL4S2iLJgcGphPA
提取码：8vtl
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posted @ 2021-02-08 08:39 TR_Goldfish 阅读(8468) 评论(0) 编辑收藏举报

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47759476

Once you get through that terrifying factual and accepting that,then every place is the center of the universe，and every moment is the most important moment and everything is the meaning of life

python读取excel数据并且画图

python读取excel数据并且画图

一，要读取的数据的格式：

二，数据读取部分：

三，画图函数

1. `def drawBar(Music_genre,singer_num,year)`

1.1 效果：

1.2 完整代码

2. 使用`seaborn`作图

1.1 代码分析

1.2 执行效果

1.3 完整代码

四，总结

五，代码使用到的数据

公告

47759476

Once you get through that terrifying factual and accepting that,then every place is the center of the universe，and every moment is the most important moment and everything is the meaning of life

python读取excel数据并且画图

python读取excel数据并且画图

一，要读取的数据的格式：

二，数据读取部分：

三，画图函数

1. def drawBar(Music_genre,singer_num,year)

1.1 效果：

1.2 完整代码

2. 使用seaborn作图

1.1 代码分析

1.2 执行效果

1.3 完整代码

四，总结

五，代码使用到的数据

公告

1. `def drawBar(Music_genre,singer_num,year)`

2. 使用`seaborn`作图