#!/usr/bin/python3
# coding=utf-8

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

df = pd.DataFrame()
df['date'] = ['2016-04-01', '2016-04-02', '2016-04-03']
df['calories'] = [2200, 2100, 1500]
df['sleep hours'] = [2200, 2100, 1500]
df['gym'] = [True, False, False]


def render_mpl_table(data, col_width=3.0, row_height=0.625, font_size=14,
                     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(data.shape[::-1]) + np.array([0, 1])) * np.array([col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        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



def main():
    ax = render_mpl_table(df, header_columns=0, col_width=2.0)
    fig = ax.get_figure()
    with open('/home/gswyhq/Downloads/table.png', 'wb')as f:
        fig.savefig(f)


if __name__ == '__main__':
    main()
53177c857843c84ba32d91720049df02be65fc07
<mask token>


def render_mpl_table(data, col_width=3.0, row_height=0.625, font_size=14,
    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(data.shape[::-1]) + np.array([0, 1])) * np.array([
            col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        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


def main():
    ax = render_mpl_table(df, header_columns=0, col_width=2.0)
    fig = ax.get_figure()
    with open('/home/gswyhq/Downloads/table.png', 'wb') as f:
        fig.savefig(f)


<mask token>

<mask token>


def render_mpl_table(data, col_width=3.0, row_height=0.625, font_size=14,
    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(data.shape[::-1]) + np.array([0, 1])) * np.array([
            col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        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


def main():
    ax = render_mpl_table(df, header_columns=0, col_width=2.0)
    fig = ax.get_figure()
    with open('/home/gswyhq/Downloads/table.png', 'wb') as f:
        fig.savefig(f)


if __name__ == '__main__':
    main()

<mask token>
df = pd.DataFrame()
df['date'] = ['2016-04-01', '2016-04-02', '2016-04-03']
df['calories'] = [2200, 2100, 1500]
df['sleep hours'] = [2200, 2100, 1500]
df['gym'] = [True, False, False]


def render_mpl_table(data, col_width=3.0, row_height=0.625, font_size=14,
    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(data.shape[::-1]) + np.array([0, 1])) * np.array([
            col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        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


def main():
    ax = render_mpl_table(df, header_columns=0, col_width=2.0)
    fig = ax.get_figure()
    with open('/home/gswyhq/Downloads/table.png', 'wb') as f:
        fig.savefig(f)


if __name__ == '__main__':
    main()

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import six
df = pd.DataFrame()
df['date'] = ['2016-04-01', '2016-04-02', '2016-04-03']
df['calories'] = [2200, 2100, 1500]
df['sleep hours'] = [2200, 2100, 1500]
df['gym'] = [True, False, False]


def render_mpl_table(data, col_width=3.0, row_height=0.625, font_size=14,
    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(data.shape[::-1]) + np.array([0, 1])) * np.array([
            col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        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


def main():
    ax = render_mpl_table(df, header_columns=0, col_width=2.0)
    fig = ax.get_figure()
    with open('/home/gswyhq/Downloads/table.png', 'wb') as f:
        fig.savefig(f)


if __name__ == '__main__':
    main()

#!/usr/bin/python3
# coding=utf-8

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

df = pd.DataFrame()
df['date'] = ['2016-04-01', '2016-04-02', '2016-04-03']
df['calories'] = [2200, 2100, 1500]
df['sleep hours'] = [2200, 2100, 1500]
df['gym'] = [True, False, False]


def render_mpl_table(data, col_width=3.0, row_height=0.625, font_size=14,
                     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(data.shape[::-1]) + np.array([0, 1])) * np.array([col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        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



def main():
    ax = render_mpl_table(df, header_columns=0, col_width=2.0)
    fig = ax.get_figure()
    with open('/home/gswyhq/Downloads/table.png', 'wb')as f:
        fig.savefig(f)


if __name__ == '__main__':
    main()