使用 Pandas 功能绘制多个数据帧
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Plotting multiple dataframes using pandas functionality
提问by J.A.Cado
I have two dataframes, with unique x and y coordinates, and I want to plot them in the same figure. I am now plotting two dataframes in same figure as such:
我有两个数据框，具有唯一的 x 和 y 坐标，我想将它们绘制在同一个图中。我现在在同一个图中绘制两个数据框，如下所示：
plt.plot(df1['x'],df1['y'])
plt.plot(df2['x'],df2['y'])
plt.show
However, pandas also has plotting functionality.
然而，pandas 也有绘图功能。
df.plot()
How could I achieve the same as my first example but use the pandas functionality?
我怎样才能实现与我的第一个示例相同的功能，但使用 Pandas 功能？
回答by IanS
Try:
尝试：
ax = df1.plot()
df2.plot(ax=ax)
Basically pandas' plot function returns the matplotlib object, which you can then pass to the second dataframe.
基本上Pandas的 plot 函数返回 matplotlib 对象，然后您可以将其传递给第二个数据帧。
Edit by J.A.Cado
JACado 编辑
I would like to add that I had to specify the x and y values for my code:
我想补充一点，我必须为我的代码指定 x 和 y 值：
ax = df1.plot(x='Lat', y='Lon')
df2.plot(ax=ax, x='Lat', y='Lon')
