[FIXED] Remove the extra plot in the matplotlib subplot

Issue

I want to plot 5 data frames in a 2 by 3 setting (i.e. 2 rows and 3 columns). This is my code: However there is an extra empty plot in the 6th position (second row and third column) which I want to get rid of it. I am wondering how I could remove it so that I have three plots in the first row and two plots in the second row.

import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=2, ncols=3)

fig.set_figheight(8)
fig.set_figwidth(15)



df[2].plot(kind='bar',ax=axes[0,0]); axes[0,0].set_title('2')

df[4].plot(kind='bar',ax=axes[0,1]); axes[0,1].set_title('4')

df[6].plot(kind='bar',ax=axes[0,2]); axes[0,2].set_title('6')

df[8].plot(kind='bar',ax=axes[1,0]); axes[1,0].set_title('8')

df[10].plot(kind='bar',ax=axes[1,1]); axes[1,1].set_title('10')

plt.setp(axes, xticks=np.arange(len(observations)), xticklabels=map(str,observations),
        yticks=[0,1])

fig.tight_layout()

Solution

Try this:

fig.delaxes(axes[1][2])

A much more flexible way to create subplots is the fig.add_axes() method. The parameters is a list of rect coordinates: fig.add_axes([x, y, xsize, ysize]). The values are relative to the canvas size, so an xsize of 0.5 means the subplot has half the width of the window.

Answered By - Johannes