I'm following this code a link! to save a table as the image, and I have some feature like check value in a cell then set color for a cell, but I added some code stylemap, it doesn't work

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]
df.style.applymap(color)
render_mpl_table(df, header_columns=0, col_width=2.0).......
def color(val):if val < datetime.now():color = 'green'elif val > datetime.now():color = 'yellow'elif val > (datetime.now() + timedelta(days=60)):color = 'red'return 'background-color: %s' % colordef 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

I put style under dataframe then render Table

My solution is create new dataframe for Cell Colors, create the dataFrame with colors checked those values in table, then add to cellColours My code block:

#table datas
df = pd.DataFrame()
members = [x.display_name[:10] for x in message.server.members]
arrayDataFrame(members, 'Players', df)
arrayDataFrame(Data=members, df=df)
#table Colors
cf = pd.DataFrame()
arrayColorFrame(members, "Players", cf)
arrayColorFrame(Data=members, df=cf)
#render
plt = render_mpl_table(df, header_columns=0, col_width=2.0, CellCol= cf)>>>>>>>>>>>>>>
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='B',bbox=[0, 0, 1, 1], header_columns=0,ax=None, CellCol=None, **kwargs):
>>>>>>>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>>>>>>>mpl_table = ax.table(cellText=data.values, bbox=bbox, colLabels=data.columns,cellColours=CellCol.values, **kwargs)def arrayDataFrame(Data, Lable='No', df=None):if df is None:df = pd.DataFrame()leng = len(Data)array = list()if Lable == 'No':for index in range(leng):array.append(int(index + 1))else:for val in Data:array.append(val)df[Lable] = arrayreturn dfdef arrayColorFrame(Data, Lable='No', df=None):if df is None:df = pd.DataFrame()leng = len(Data)array = list()if Lable == 'No':for index in range(leng):val = index + 1if val < 10:color = 'green'elif val < 20:color = 'yellow'elif val < 40:color = 'red'else:color = 'w'array.append(color)else:for val in Data:if "nat" in val :color = 'blue'else:color='w'array.append(color)df[Lable] = arrayreturn df

Result testing in discord python : Picture