python-3.x - python破折号表条件格式色标

Question

我想根据值从高到小用色标按值对列进行着色
像这样

目前，我在一个函数中创建了破折号表，并为每一列循环发送它；

def make_table_in_div(df, column_name):
    pv = pd.pivot_table(df, index=[column_name], values=['val1'], aggfunc=['mean', 'count']).reset_index()
    pv.columns = [column_name, 'val1', 'count']
    print(column_name)
    div = html.Div([html.H1(column_name), dash_table.DataTable(
        columns=[{"name": i, "id": i} for i in pv.columns],
        data=pv.to_dict('records'),
    )], style={'height': 30, 'margin-right': 'auto', 'margin-left': 'auto', 'width': '800px'})  # 'width': '50%',
    return div

div = [make_table_in_div(df, column_name) for column_name in ['column_name']]
return div

破折号表看起来像流动的图片，我想给值列着色

Answer 1

感谢 The answer of Kristian Haga . - 效果很好。
我想为将来有同样问题的用户和我总结一下选项。当我们想在多列上运行它时，有两种选择:

原始函数将以相同的比例(最小值和最大值)为所有列着色，因此如果我运行多列(来自示例:值和计数)，它会返回基于所有列的最小值和最大值范围着色的表格样式(来自示例:0.193,109)。discrete_background_color_bins(df, columns=['value','count'])

def discrete_background_color_bins(df, n_bins=7, columns='all'):

 bounds = [i * (1.0 / n_bins) for i in range(n_bins+1)]
 if columns == 'all':
     if 'id' in df:
         df_numeric_columns = df.select_dtypes('number').drop(['id'], axis=1)
     else:
         df_numeric_columns = df.select_dtypes('number')
 else:
     df_numeric_columns = df[columns]
 df_max = df_numeric_columns.max().max()
 df_min = df_numeric_columns.min().min()
 ranges = [
     ((df_max - df_min) * i) + df_min
     for i in bounds
 ]
 styles = []
 legend = []
 for i in range(1, len(bounds)):
     min_bound = ranges[i - 1]
     max_bound = ranges[i]
     backgroundColor = colorlover.scales[str(n_bins+4)]['div']['RdYlGn'][2:-2][i - 1]
     color = 'black'

     for column in df_numeric_columns:
         styles.append({
             'if': {
                 'filter_query': (
                     '{{{column}}} >= {min_bound}' +
                     (' && {{{column}}} < {max_bound}' if (i < len(bounds) - 1) else '')
                 ).format(column=column, min_bound=min_bound, max_bound=max_bound),
                 'column_id': column
             },
             'backgroundColor': backgroundColor,
             'color': color
         })
     legend.append(
         html.Div(style={'display': 'inline-block', 'width': '60px'}, children=[
             html.Div(
                 style={
                     'backgroundColor': backgroundColor,
                     'borderLeft': '1px rgb(50, 50, 50) solid',
                     'height': '10px'
                 }
             ),
             html.Small(round(min_bound, 2), style={'paddingLeft': '2px'})
         ])
     )

 return (styles, html.Div(legend, style={'padding': '5px 0 5px 0'}))

如果我们想根据其最小值和最大值分别为每一列着色，

我们将使用下面的函数:
(非常相似，但首先在列上运行)

 def discrete_background_color_bins(df, n_bins=7, columns='all'):

     bounds = [i * (1.0 / n_bins) for i in range(n_bins+1)]
     if columns == 'all':
         if 'id' in df:
             df_numeric_columns = df.select_dtypes('number').drop(['id'], axis=1)
         else:
             df_numeric_columns = df.select_dtypes('number')
     else:
         df_numeric_columns = df[columns]
     df_max = df_numeric_columns.max().max()
     df_min = df_numeric_columns.min().min()
     ranges = [
         ((df_max - df_min) * i) + df_min
         for i in bounds
     ]
     styles = []
     legend = []
     for i in range(1, len(bounds)):
         min_bound = ranges[i - 1]
         max_bound = ranges[i]
         backgroundColor = colorlover.scales[str(n_bins+4)]['div']['RdYlGn'][2:-2][i - 1]
         color = 'black'

         for column in df_numeric_columns:
             styles.append({
                 'if': {
                     'filter_query': (
                         '{{{column}}} >= {min_bound}' +
                         (' && {{{column}}} < {max_bound}' if (i < len(bounds) - 1) else '')
                     ).format(column=column, min_bound=min_bound, max_bound=max_bound),
                     'column_id': column
                 },
                 'backgroundColor': backgroundColor,
                 'color': color
             })
         legend.append(
             html.Div(style={'display': 'inline-block', 'width': '60px'}, children=[
                 html.Div(
                     style={
                         'backgroundColor': backgroundColor,
                         'borderLeft': '1px rgb(50, 50, 50) solid',
                         'height': '10px'
                     }
                 ),
                 html.Small(round(min_bound, 2), style={'paddingLeft': '2px'})
             ])
         )

     return (styles, html.Div(legend, style={'padding': '5px 0 5px 0'}))