Show n tables depending on the length of a list of pandas dataframes (Python)


I’m very new to dash and html. I have a list where each entry is a pandas dataframe, and which vary in length from time to time. I want to make some kind of report using dash, that shows all the dataframes in tables.

Lets says the list is df_all =[ df1,df2,df3,…]:

The code looks like

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as go

external_stylesheets = [‘’]

app = dash.Dash(name, external_stylesheets=external_stylesheets)

colors = {
‘background’: ‘#111111’,
‘text’: ‘#7FDBFF

all_df = [df1, df]

def generate_table(dataframe, max_rows=10):
return html.Table(
# Header
[html.Tr([html.Th(col) for col in dataframe.columns])] +

    # Body
        html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
    ]) for i in range(min(len(dataframe), max_rows))]

app.layout = html.Div(children=[

some loop like

    for i in range(len(all_df)):


if name == ‘main’:

Please take a look at the documentation for Dash DataTable

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