我想你可以先在panda中找到不同的行，然后用它来设计你的dash datatable。下面是我的代码：

from dash import Dash, dash_table
import pandas as pd
from collections import OrderedDict
import numpy as np
import dash_bootstrap_components as dbc
from dash import Dash, dash_table
import numpy as np
data = OrderedDict(
    [("col1", [3, 1,2]),
     ("col2", [3, 3, 1]),
     ("col3", [1, 3, 3]),
    ])

df = pd.DataFrame(data)
df['col_1_shift'] = df['col1'] - df['col1'].shift(-1)
df['col_2_shift'] = df['col2'] - df['col2'].shift(-1) 
df['col_3_shift'] = df['col3'] - df['col3'].shift(-1) 
df.fillna(0,inplace=True)

下面是df输出：

col1    col2    col3    col_1_shift col_2_shift col_3_shift
0   3   3   1   2.0 0.0 -2.0
1   1   3   3   -1.0    2.0 0.0
2   2   1   3   0.0 0.0 0.0

之后我们将基于col_shift列设置样式：

app = Dash(__name__, external_stylesheets=[dbc.themes.LUX])

#print(df)
app.layout = dash_table.DataTable(
    data=df.to_dict('records'),
    
    #sort_action='native',
    columns=[{'name': i, 'id': i} for i in df.columns[0:3]],
    style_data_conditional=[
        {'if': {'filter_query': '{col_1_shift} > 0',
                'column_id': 'col1'
            },
            'color': 'green'
        },
                {'if': {'filter_query': '{col_1_shift} < 0',
                'column_id': 'col1'
            },
            'color': 'red'
        },
                {'if': {'filter_query': '{col_2_shift} > 0',
                'column_id': 'col2'
            },
            'color': 'green'
        },
                {'if': {'filter_query': '{col_2_shift} < 0',
                'column_id': 'col2'
            },
            'color': 'red'
        },
                {'if': {'filter_query': '{col_3_shift} > 0',
                'column_id': 'col3'
            },
            'color': 'green'
        },
                {'if': {'filter_query': '{col_3_shift} < 0',
                'column_id': 'col3'
            },
            'color': 'red'
        },
        
    ] 
)

if __name__ == '__main__':
    app.run_server(debug=False)

结果如下：