I am happily using dash_table_experiments. I want now to make the contents of one cell a html link.
I found this, looks like the right answer:
however - when I try to run simply the example given - I get an ‘Error loading layout’ message with zero useful error messages
How can I start to debug this?
Maybe there is a new, easier way to put a basic html link in a dash-table-experiments cell?
the example:
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_table_experiments as dt
import json
import pandas as pd
import numpy as np
import plotly
app = dash.Dash()
server = app.server
app.scripts.config.serve_locally = True
app.css.config.serve_locally = True
DF_GAPMINDER = pd.read_csv(
'https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv'
)
ROW_HEIGHT = 40
sparklines = {
c: html.Div(style={'height': 100, 'width': '100%'}, children=dcc.Graph(
id=c,
figure={
'data': [{
'x': DF_GAPMINDER[c],
'type': 'histogram',
}],
'layout': {
'height': ROW_HEIGHT,
'margin': {
'l': 0, 'r': 0, 't': 0, 'b': 0
},
'xaxis': {
'showticklabels': False,
'showline': False,
'showgrid': False,
},
'yaxis': {
'showticklabels': False,
'showline': False,
'showgrid': False,
},
'hovermode': 'closest'
}
},
config={'displayModeBar': False}
))
for c in DF_GAPMINDER.columns
}
ROWS = [sparklines] + DF_GAPMINDER.to_dict('records')
app.layout = html.Div([
dt.DataTable(
rows=ROWS,
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
id='datatable',
row_height=ROW_HEIGHT
),
html.Div(id='selected-indexes'),
dcc.Graph(
id='graph-gapminder'
),
], className="container")
app.css.append_css({
"external_url": "https://codepen.io/chriddyp/pen/bWLwgP.css"
})
if __name__ == '__main__':
app.run_server(debug=True)