creating two plots side by side in matplotlib

Question

I'm having trouble plotting a data frame and a circle next to one another. My code:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = \
pd.DataFrame({'data': {'Performance': "[None, ' bps']Performance cannot be calculated",
      'Basket Switch Cost': '400000 bps / 4000',
      '10\\% VWAP Switch Cost': '0 bps / 0',
      'Portfolio Expense Ratio': 'Savings of None bps  /  None',
      'Common Items': '523 Items  \\&  53% by Weight',
      'Starting \\& Ending Security Count': '611 / 611',
      'Largest Sector Exposure Difference': '0%  Increase  in Information Technology',
      'Common Inception Date': '2011-03-24'}})

ax = plt.subplot2grid((1,3), (0,0), colspan=2)

circle = plt.Circle((0.0,0.0),radius=0.75, fc='r')
plt.gca().add_patch(circle)
ax.axis('scaled')
ax2 = plt.subplot2grid((1,3), (0,2))
font_size=10
bbox=[0, 0, 1, 1]
ax2.axis('off')
mpl_table = ax2.table(cellText = df.values, rowLabels = df.index, 
                      bbox=bbox, colLabels=df.columns)
mpl_table.auto_set_font_size(False)
mpl_table.set_fontsize(font_size)
plt.tight_layout()

As you can see, the two figures are overlapping one another and I want the circle in the first column and the data frame in the 2nd. How can I accomplish this?

Answer 1

You can get the desired display if you remove tight_layout(), adjust the bounding box for the table and the figure size, and then change the column spanning, i.e.

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = \
pd.DataFrame({'data': {'Performance': "[None, ' bps']Performance cannot be calculated",
            'Basket Switch Cost': '400000 bps / 4000',
            '10\\% VWAP Switch Cost': '0 bps / 0',
            'Portfolio Expense Ratio': 'Savings of None bps  /  None',
            'Common Items': '523 Items  \\&  53% by Weight',
            'Starting \\& Ending Security Count': '611 / 611',
            'Largest Sector Exposure Difference': '0%  Increase  in Information Technology',
            'Common Inception Date': '2011-03-24'}})

fig = plt.figure(figsize=(16,6))
ax = plt.subplot2grid((1,2), (0,0))

circle = plt.Circle((0.0,0.0),radius=0.75, fc='r')
ax.add_patch(circle)
ax.axis('scaled')
ax2 = plt.subplot2grid((1,2), (0,1))
font_size=10
bbox=[0.3, 0, 0.95, 1]
ax2.axis('off')
mpl_table = ax2.table(cellText = df.values, rowLabels = df.index, 
                      bbox=bbox, colLabels=df.columns)
mpl_table.auto_set_font_size(False)
mpl_table.set_fontsize(font_size)

Which would give you