Just create a plot of the table, then save that. Given a dataframe such as:

import pandas as pd

df = pd.DataFrame()
df['Animal'] = ['Cow', 'Bear']
df['Weight'] = [250, 450]
df['Favorite'] = ['Grass', 'Honey']
df['Least Favorite'] = ['Meat', 'Leaves']

which looks like:

  Animal  Weight Favorite Least Favorite
0    Cow     250    Grass           Meat
1   Bear     450    Honey         Leaves

you can plot a table version of it like so:

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(9,2))
ax = plt.subplot(111)
ax.axis('off')
ax.table(cellText=df.values, colLabels=df.columns, bbox=[0,0,1,1])

Output:

You can style the table plot a little nicer by adding some background color to the cells:

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(9,2))
ax=plt.subplot(111)
ax.axis('off')
c = df.shape[1]
ax.table(cellText=np.vstack([df.columns, df.values]), cellColours=[['lightgray']*c] + [['none']*c]*2, bbox=[0,0,1,1])

Output:

See this ongoing thread (from which all these examples were taken) for more ideas/variants.

Edit

It occurred to me that you might want to plot images and tables on the same figure. You can do so to get results like this:

Here's a link to the tutorial that image came from, which has some example code to help get you started.