使用年度数据时，如何使条形图中的 xticks 不局促

如何解决使用年度数据时，如何使条形图中的 xticks 不局促

我在尝试执行此图形栏时遇到问题并不断收到相同的错误

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from datetime import datetime
!pip install wbdata
import wbdata

wbdata.get_source()
wbdata.get_source()

indicador = {'SP.POP.TOTL' : 'Population total','SP.POP.GROW':'Population growth'}
pais = ['CRI']
df = wbdata.get_dataframe(indicador,pais)
df['date'] = df.index
pd.to_datetime(df.date)
df.reset_index(drop = True,inplace = True)
df = df[['date','Population total','Population growth' ]]

df.iloc[::-1].plot.bar(x = 'date',y = 'Population total',color = 'g')

plt.xticks(df['date'][::10],rotation = 'vertical')

plt.title('Total de población de Costa Rica y crecimiento')
plt.show()

我不断收到的错误看起来像这样

error image

解决方法

解决了：

df.plot.bar(x = 'date',y = 'Population total',color = 'g')
plt.xticks(ticks = df[::-1].date.iloc[::10].index.array,labels = df.date.iloc[::10])
plt.yticks(ticks = [elem * 1000000 for elem in range(1,6)],labels = [elem * 1000000 for elem in range(1,6)] )
df2.plot.line(x = 'date',y='Population growth')



plt.title('Total de población de Costa Rica y crecimiento')
plt.xticks(df[::-1].date.iloc[::10].index.array,df.date.iloc[::10])
plt.show()