matplotlib pandas to table

import numpy as npimport matplotlib.pyplot as plttitle_text = 'Loss by Disaster'footer_text = 'June 24, 2020'fig_background_color = 'skyblue'fig_border = 'steelblue'data =  [            [         'Freeze', 'Wind', 'Flood', 'Quake', 'Hail'],            [ '5 year',  66386, 174296,   75131,  577908,  32015],            ['10 year',  58230, 381139,   78045,   99308, 160454],            ['20 year',  89135,  80552,  152558,  497981, 603535],            ['30 year',  78415,  81858,  150656,  193263,  69638],            ['40 year', 139361, 331509,  343164,  781380,  52269],        ]# Pop the headers from the data arraycolumn_headers = data.pop(0)row_headers = [x.pop(0) for x in data]# Table data needs to be non-numeric text. Format the data# while I'm at it.cell_text = []for row in data:    cell_text.append([f'{x/1000:1.1f}' for x in row])# Get some lists of color specs for row and column headersrcolors = plt.cm.BuPu(np.full(len(row_headers), 0.1))ccolors = plt.cm.BuPu(np.full(len(column_headers), 0.1))# Create the figure. Setting a small pad on tight_layout# seems to better regulate white space. Sometimes experimenting# with an explicit figsize here can produce better outcome.plt.figure(linewidth=2,           edgecolor=fig_border,           facecolor=fig_background_color,           tight_layout={'pad':1},           #figsize=(5,3)          )# Add a table at the bottom of the axesthe_table = plt.table(cellText=cell_text,                      rowLabels=row_headers,                      rowColours=rcolors,                      rowLoc='right',                      colColours=ccolors,                      colLabels=column_headers,                      loc='center')# Scaling is the only influence we have over top and bottom cell padding.# Make the rows taller (i.e., make cell y scale larger).the_table.scale(1, 1.5)# Hide axesax = plt.gca()ax.get_xaxis().set_visible(False)ax.get_yaxis().set_visible(False)# Hide axes borderplt.box(on=None)# Add titleplt.suptitle(title_text)# Add footerplt.figtext(0.95, 0.05, footer_text, horizontalalignment='right', size=6, weight='light')# Force the figure to update, so backends center objects correctly within the figure.# Without plt.draw() here, the title will center on the axes and not the figure.plt.draw()# Create image. plt.savefig ignores figure edge and face colors, so map them.fig = plt.gcf()plt.savefig('pyplot-table-demo.png',            #bbox='tight',            edgecolor=fig.get_edgecolor(),            facecolor=fig.get_facecolor(),            dpi=150            )