如何解决ValueError形状不匹配：无法将对象广播为单个形状
这是我计划用于创建BAR图表的代码。忽略下一行。我正在编写此代码只是为了平衡代码和细节。
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def bar1():
df=pd.read_csv('C:\\Users\Bhuwan Bhatt\Desktop\IP PROJECT\Book1.csv',encoding= 'unicode_escape')
x=np.arange(11)
Countries=df['Country']
STotalMed=df['SummerTotal']
WTotalMed=df['WinterTotal']
plt.bar(x-0.25,STotalMed,width=.2,label='Total Medals by Countries in Summer',color='g')
plt.bar(x+0.25,WTotalMed,label='Total Medals by Countries in Winter',color='r')
plt.xticks(np.arange(11),Countries,rotation=30)
plt.title('Olympics Data Analysis of Top 10 Countries',color='red',fontsize=10)
plt.xlabel('Countries')
plt.ylabel('Total Medals')
plt.grid()
plt.legend()
plt.show()
bar1()
由于某种原因，我收到此错误：
Traceback (most recent call last):
File "C:/Users/Bhuwan Bhatt/Desktop/dsd.py",line 19,in <module>
bar1()
File "C:/Users/Bhuwan Bhatt/Desktop/dsd.py",line 10,in bar1
plt.bar(x-0.25,color='g')
File "C:\Users\Bhuwan Bhatt\AppData\Local\Programs\Python\Python38-32\lib\site-packages\matplotlib\pyplot.py",line 2471,in bar
return gca().bar(
File "C:\Users\Bhuwan Bhatt\AppData\Local\Programs\Python\Python38-32\lib\site-packages\matplotlib\__init__.py",line 1438,in inner
return func(ax,*map(sanitize_sequence,args),**kwargs)
File "C:\Users\Bhuwan Bhatt\AppData\Local\Programs\Python\Python38-32\lib\site-packages\matplotlib\axes\_axes.py",line 2430,in bar
x,height,width,y,linewidth = np.broadcast_arrays(
File "<__array_function__ internals>",line 5,in broadcast_arrays
File "C:\Users\Bhuwan Bhatt\AppData\Local\Programs\Python\Python38-32\lib\site-packages\numpy\lib\stride_tricks.py",line 264,in broadcast_arrays
shape = _broadcast_shape(*args)
File "C:\Users\Bhuwan Bhatt\AppData\Local\Programs\Python\Python38-32\lib\site-packages\numpy\lib\stride_tricks.py",line 191,in _broadcast_shape
b = np.broadcast(*args[:32])
ValueError: shape mismatch: objects cannot be broadcast to a single shape
这是我一直在使用的CSV文件：
Country SummerTimesPart Sumgoldmedal Sumsilvermedal Sumbronzemedal SummerTotal WinterTimesPart Wingoldmedal Winsilvermedal Winbronzemedal WinterTotal TotalTimesPart Tgoldmedal Tsilvermedal Tbronzemedal TotalMedal
Afghanistan 14 0 0 2 2 0 0 0 0 0 14 0 0 2 2
Algeria 13 5 4 8 17 3 0 0 0 0 16 5 4 8 17
Argentina 24 21 25 28 74 19 0 0 0 0 43 21 25 28 74
Armenia 6 2 6 6 14 7 0 0 0 0 13 2 6 6 14
Australasia 2 3 4 5 12 0 0 0 0 0 2 3 4 5 12
Australia 26 147 163 187 497 19 5 5 5 15 45 152 168 192 512
Austria 27 18 33 36 87 23 64 81 87 232 50 82 114 123 319
Azerbaijan 6 7 11 24 42 6 0 0 0 0 12 7 11 24 42
Bahamas 16 6 2 6 14 0 0 0 0 0 16 6 2 6 14
Bahrain 9 2 1 0 3 0 0 0 0 0 9 2 1 0 3
Barbados 12 0 0 1 1 0 0 0 0 0 12 0 0 1 1
Belarus 6 12 27 39 78 7 8 5 5 18 13 20 32 44 96
Belgium 26 40 53 55 148 21 1 2 3 6 47 41 55 58 154
Bermuda 18 0 0 1 1 8 0 0 0 0 26 0 0 1 1
Bohemia 3 0 1 3 4 0 0 0 0 0 3 0 1 3 4
Botswana 10 0 1 0 1 0 0 0 0 0 10 0 1 0 1
Brazil 22 30 36 63 129 8 0 0 0 0 30 30 36 63 129
British WestIndies 1 0 0 2 2 0 0 0 0 0 1 0 0 2 2
Bulgaria 20 51 87 80 218 20 1 2 3 6 40 52 89 83 224
Burundi 6 1 1 0 2 0 0 0 0 0 6 1 1 0 2
Cameroon 14 3 1 2 6 1 0 0 0 0 15 3 1 2 6
Canada 26 64 102 136 302 23 73 64 62 199 49 137 166 198 501
Chile 23 2 7 4 13 17 0 0 0 0 40 2 7 4 13
China 10 224 167 155 546 11 13 28 21 62 21 237 195 176 608
Colombia 19 5 9 14 28 2 0 0 0 0 21 5 9 14 28
Costa Rica 15 1 1 2 4 6 0 0 0 0 21 1 1 2 4
Ivory Coast 13 1 1 1 3 0 0 0 0 0 13 1 1 1 3
Croatia 7 11 10 12 33 8 4 6 1 11 15 15 16 13 44
Cuba 20 78 68 80 226 0 0 0 0 0 20 78 68 80 226
INFO -----> SummerTimesPart：每个国家参加夏季的次数 WinterTimesPart：每个国家/地区参加冬季的次数
解决方法
只是改变
x=np.arange(11)
to
x = np.arange(len(df))
和
plt.xticks(np.arange(11),Countries,rotation=30)
to
plt.xticks(x,rotation=30)
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