将pandas DataFrame图插入matplotlib子图

Question

I have created a plot with 4 subplots and each subplot will show a different type of analyses on some infrasound data. This the code I have used to create the subplots:

gs = gridspec.GridSpec(2, 2, width_ratios=[1,1], height_ratios=[1,1])

ax1 = plt.subplot(gs[0])
ax2 = plt.subplot(gs[1])
ax3 = plt.subplot(gs[2])
ax4 = plt.subplot(gs[3])

So far I have been able to input what I have wanted into the subplots, but I want to be able to input a pandas DataFrame plot into ax3 and I can't seem to do it. I have already written the pandas program and was just going to insert it into the larger script so it was shown in the subplot.

This is the line of code that is used to plot the pandas DataFrame plot:

df.plot(subplots=True, sharey=True, ylim=(0,(y_max*1.5)))

Answer 1

When plotting using pandas.Dataframe.plot you can choose the Axes object you would like to plot to with the keyword argument ax as shown below:

gs = gridspec.GridSpec(2, 2, width_ratios=[1,1], height_ratios=[1,1])

ax1 = plt.subplot(gs[0])
ax2 = plt.subplot(gs[1])
ax3 = plt.subplot(gs[2])
ax4 = plt.subplot(gs[3])

# ...some other code that defines df...

df.plot(ax=ax3)

This will add your data to the ax3 object. Note that this will plot all of your columns into that one subplot, if you want one particular column then you could do df['my_col_name'].plot(ax=ax3) .