How do I plot only a table in Matplotlib?

This is another option to write a pandas dataframe directly into a matplotlib table:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

fig, ax = plt.subplots()

# hide axes
fig.patch.set_visible(False)
ax.axis('off')
ax.axis('tight')

df = pd.DataFrame(np.random.randn(10, 4), columns=list('ABCD'))

ax.table(cellText=df.values, colLabels=df.columns, loc='center')

fig.tight_layout()

plt.show()

If you just wanted to change the example and put the table at the top, then loc='top' in the table declaration is what you need,

the_table = ax.table(cellText=cell_text,
                      rowLabels=rows,
                      rowColours=colors,
                      colLabels=columns,
                      loc='top')

Then adjusting the plot with,

plt.subplots_adjust(left=0.2, top=0.8)

A more flexible option is to put the table in its own axis using subplots,

import numpy as np
import matplotlib.pyplot as plt


fig, axs =plt.subplots(2,1)
clust_data = np.random.random((10,3))
collabel=("col 1", "col 2", "col 3")
axs[0].axis('tight')
axs[0].axis('off')
the_table = axs[0].table(cellText=clust_data,colLabels=collabel,loc='center')

axs[1].plot(clust_data[:,0],clust_data[:,1])
plt.show()

which looks like this,

You are then free to adjust the locations of the axis as required.

Not sure if this is already answered, but if you want only a table in a figure window, then you can hide the axes:

fig, ax = plt.subplots()

# Hide axes
ax.xaxis.set_visible(False) 
ax.yaxis.set_visible(False)

# Table from Ed Smith answer
clust_data = np.random.random((10,3))
collabel=("col 1", "col 2", "col 3")
ax.table(cellText=clust_data,colLabels=collabel,loc='center')

You can di this:

#axs[1].plot(clust_data[:,0],clust_data[:,1]) # Remove this if you don't need it
axs[1].axis("off")  # This will leave the table alone in the window