如何基于相同的前一个创建两个不同的图形？

米格尔·冈萨雷斯（Miguel Gonzalez）

我正在尝试根据相同的前一个创建两个不同的图。

上一个（fig）包含两个图形共有的一行，从中创建两个新图形（fig1和fig2），每个图形都有不同的数据（df1和df2）。

这是我想要获得的：

我尝试使用fig.add_subplot函数，但是不断出现错误：ValueError: The Subplot must have been created in the present figure

我创建了一个例子来说明我的意思。执行时会显示“值错误”：

import pandas as pd
import matplotlib.pyplot as plt

# Data for the two different figures
df1 = pd.DataFrame({'x':np.random.rand(80), 'y':np.random.rand(80)})
df2 = pd.DataFrame({'x':np.random.rand(10), 'y':np.random.rand(10)})


fig, ax = plt.subplots()

# Line creation for both figures
ax.plot(([1,2]))

# Try of creating the two different figures from the previous one:
fig1 = fig.add_subplot(df1.plot(x = 'x', y = 'y', kind = 'scatter'))
fig2 = fig.add_subplot(df2.plot(x = 'x', y = 'y', kind = 'scatter'))

In this example would be very easy to create the line inside of each figure, but that could not be done in the case that I'm working at.

meTchaikovsky

You can pass ax as an argument for df.plot

import pandas as pd
import matplotlib.pyplot as plt

# Data for the two different figures
df1 = pd.DataFrame({'x':np.random.rand(80), 'y':np.random.rand(80)})
df2 = pd.DataFrame({'x':np.random.rand(10), 'y':np.random.rand(10)})


fig, ax = plt.subplots(nrows=1,ncols=2)

# Line creation for both figures
ax[0].plot(([1,2]))
ax[1].plot(([1,2]))

# Try of creating the two different figures from the previous one:
df1.plot(x = 'x', y = 'y', kind = 'scatter', c='violet',ax=ax[0])
df2.plot(x = 'x', y = 'y', kind = 'scatter', c='navy',ax=ax[1])

ax[0].set_title('one')
ax[1].set_title('two')

the output figure is

UPDATE

The ax is an array of Axes objects. Different Axes objects are independent, they can have different labels, legends, ticks, etc. If you really need two figures for two plots

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Data for the two different figures
df1 = pd.DataFrame({'x':np.random.rand(80), 'y':np.random.rand(80)})
df2 = pd.DataFrame({'x':np.random.rand(10), 'y':np.random.rand(10)})

# fig 1 
fig_0 = plt.figure(0)
ax_0 = fig_0.add_subplot(111)
ax_0.plot(([1,2]))
df1.plot(x = 'x', y = 'y', kind = 'scatter', c='violet',ax=ax_0)
ax_0.set_title('one')

fig_1 = plt.figure(1)
ax_1 = fig_1.add_subplot(111)
ax_1.plot(([1,2]))
df2.plot(x = 'x', y = 'y', kind = 'scatter', c='navy',ax=ax_1)
ax_1.set_title('two')

fig_0.savefig('one.png')
fig_1.savefig('two.png')

You will see from the two saved files, the two plots are in two different figures.

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