在两个x轴上显示的值，即使是plt.subplots(sharex = True)

Question

我正在处理一组关于用水量的小数据。我有两个子图，我告诉他们分享他们的x轴，然而，图并不代表这个事实。当不使用这个数据集时，我可以将plt.subplots(sharex = True)用于绘图，这让我怀疑这是否是熊猫和matplotlib库之间的问题。我的代码很简单，如下所示：

import pandas as pd
import matplotlib.pyplot as plt
# Source = https://data.cityofnewyork.us/Environment/Water-Consumption-In-The-New-York-City/ia2d-e54m

data_loc = 'D:\CSVs\Water_Consumption_In_The_New_York_City.csv'
df = pd.read_csv(data_loc, parse_dates=True)
#editing the population data to be per million
df['New York City Population'] = df['New York City Population']/1000000

fig, (ax1,ax2) = plt.subplots(2, figsize=(8,5), sharex = True)
ax1 = plt.subplot(211)
ax1.plot(df['Year'], df['NYC Consumption(Million gallons per day)'])
ax1.legend(['Water Consumption (Million Gallons per Day)'])

ax2 = plt.subplot(212)
ax2.plot(df['Year'], df['New York City Population'], color='red')
ax2.legend(['Population (In Millions)'])
plt.xlabel('Year')

plt.suptitle('NYC Water Consumption Data', size = 15)
plt.show()

此代码生成这些图，它们不共享一个x轴：

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提前谢谢你

Answer 1

fig, (ax1,ax2) = plt.subplots(1,2, figsize=(8,5), sharex = True)

是一行和两列，所以sharex没有意义。

ax1，ax2是子图，所以没有必要再次初始化它们

import pandas as pd
import matplotlib.pyplot as plt

data_loc = 'D:\CSVs\Water_Consumption_In_The_New_York_City.csv'
df = pd.read_csv(data_loc, parse_dates=True)
#editing the population data to be per million
df['New York City Population'] = df['New York City Population']/1000000

fig, (ax1,ax2) = plt.subplots(2, 1, figsize=(8,5), sharex = True)
ax1.plot(df['Year'], df['NYC Consumption(Million gallons per day)'])
ax1.legend(['Water Consumption (Million Gallons per Day)'])

ax2.plot(df['Year'], df['New York City Population'], color='red')
ax2.legend(['Population (In Millions)'])
plt.xlabel('Year')

plt.suptitle('NYC Water Consumption Data', size = 15)
plt.show()