Python 转换 DataFrame 为图片格式

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# -*- coding: utf-8 -*-
# @Author: “williamlfang”
# @Date:   2021-03-19 15:18:19
# @Last Modified by:   “williamlfang”
# @Last Modified time: 2021-03-19 16:18:32

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import six
from matplotlib.ticker import FormatStrFormatter

def render_mpl_table(data, savepath, title = "", col_width=2.0, row_height=0.625, font_size=12,
                     header_color='#40466e', row_colors=['#f1f1f2', 'w'], edge_color='w',
                     bbox=[0, 0, 1, 1], header_columns=0,
                     ax=None, **kwargs):
    if ax is None:
        size = (np.array([0,1]) + np.array(data.shape[::-1]) + np.array([0, 1])) * np.array([col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        ax.set_title(title, fontdict={'fontsize': 15, 'fontweight': 'bold', 'color': header_color, 'horizontalalignment':'center'})
        ax.yaxis.set_major_formatter(FormatStrFormatter('%g'))
        # fig.tight_layout()
        ax.axis('off')

    mpl_table = ax.table(cellText=data.values, bbox=bbox, colLabels=data.columns, **kwargs)

    mpl_table.auto_set_font_size(False)
    mpl_table.set_fontsize(font_size)

    for k, cell in  six.iteritems(mpl_table._cells):
        cell.set_edgecolor(edge_color)
        if k[0] == 0 or k[1] < header_columns:
            cell.set_text_props(weight='bold', color='w')
            cell.set_facecolor(header_color)
        else:
            cell.set_facecolor(row_colors[k[0]%len(row_colors) ])
    # return ax
    plt.savefig(savepath)
    plt.close()

if __name__ == "__main__":
    df = pd.DataFrame()
    df['date'] = ['2016-04-01', '2016-04-02', '2016-04-03']
    df['calories'] = [2200.343332424, 2100.34, 1500]
    df['sleep hours'] = [2200, 2100, 1500]
    df['gym'] = [True, False, False]

    # ==========================================================================
    render_mpl_table(df, savepath= '/tmp/dfm.png', title = "My Title", header_columns=0, col_width=2.0)
    # ==========================================================================