Hi,
I’m trying to use the code below which is provided in the dash datatable documentation. However, it doesn’t work and i get the unexpected keyword argument error for multiple arguments. Is it because of version error ? Please help.
import dash
from dash.dependencies import Input, Output
import dash_table
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
df = pd.read_csv(‘https://raw.githubusercontent.com/plotly/datasets/master/gapminder2007.csv’)
app = dash.Dash(name)
app.layout = html.Div([
dash_table.DataTable(
id=‘datatable-interactivity’,
columns=[
{“name”: i, “id”: i, “deletable”: True, “selectable”: True} for i in df.columns
],
data=df.to_dict(‘records’),
editable=True,
filter_action=“native”,
sort_action=“native”,
sort_mode=“multi”,
column_selectable=“single”,
row_selectable=“multi”,
row_deletable=True,
selected_columns=[],
selected_rows=[],
page_action=“native”,
page_current= 0,
page_size= 10,
),
html.Div(id=‘datatable-interactivity-container’)
])
@app.callback(
Output(‘datatable-interactivity’, ‘style_data_conditional’),
[Input(‘datatable-interactivity’, ‘selected_columns’)]
)
def update_styles(selected_columns):
return [{
‘if’: { ‘column_id’: i },
‘background_color’: ‘#D2F3FF’
} for i in selected_columns]
@app.callback(
Output(‘datatable-interactivity-container’, “children”),
[Input(‘datatable-interactivity’, “derived_virtual_data”),
Input(‘datatable-interactivity’, “derived_virtual_selected_rows”)])
def update_graphs(rows, derived_virtual_selected_rows):
# When the table is first rendered, derived_virtual_data and
# derived_virtual_selected_rows will be None. This is due to an
# idiosyncracy in Dash (unsupplied properties are always None and Dash
# calls the dependent callbacks when the component is first rendered).
# So, if rows is None, then the component was just rendered
# and its value will be the same as the component’s dataframe.
# Instead of setting None in here, you could also set
# derived_virtual_data=df.to_rows('dict') when you initialize
# the component.
if derived_virtual_selected_rows is None:
derived_virtual_selected_rows = []
dff = df if rows is None else pd.DataFrame(rows)
colors = ['#7FDBFF' if i in derived_virtual_selected_rows else '#0074D9'
for i in range(len(dff))]
return [
dcc.Graph(
id=column,
figure={
"data": [
{
"x": dff["country"],
"y": dff[column],
"type": "bar",
"marker": {"color": colors},
}
],
"layout": {
"xaxis": {"automargin": True},
"yaxis": {
"automargin": True,
"title": {"text": column}
},
"height": 250,
"margin": {"t": 10, "l": 10, "r": 10},
},
},
)
# check if column exists - user may have deleted it
# If `column.deletable=False`, then you don't
# need to do this check.
for column in ["pop", "lifeExp", "gdpPercap"] if column in dff
]
if name == ‘main’:
app.run_server(debug=True)