Hi, I want to export the upload the datatable after I edit it. But I get errors when I add the export function in the datatable. Can anyone teach me how to fix the errors or got any other ways to export the datatable?
The error is:
Callback error updating output-data-upload.children
TypeError: Unexpected keyword argument export_format Allowed arguments: active_cell, columns, css, data, data_previous, data_timestamp, derived_filter_query_structure, derived_viewport_data, derived_viewport_indices, derived_viewport_row_ids, derived_viewport_selected_row_ids, derived_viewport_selected_rows, derived_virtual_data, derived_virtual_indices, derived_virtual_row_ids, derived_virtual_selected_row_ids, derived_virtual_selected_rows, dropdown, dropdown_conditional, dropdown_data, editable, end_cell, filter_action, filter_query, fixed_columns, fixed_rows, id, is_focused, locale_format, merge_duplicate_headers, page_action, page_current, page_size, row_deletable, row_selectable, selected_cells, selected_row_ids, selected_rows, sort_action, sort_as_null, sort_by, sort_mode, start_cell, style_as_list_view, style_cell, style_cell_conditional, style_data, style_data_conditional, style_filter, style_filter_conditional, style_header, style_header_conditional, style_table, tooltip, tooltip_conditional, tooltip_data, tooltip_delay, tooltip_duration, virtualization
Below is my code:
import base64
import datetime
import io
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import pandas as pd
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.config['suppress_callback_exceptions']=True
app.layout = html.Div([
dcc.Upload(
id='datatable-upload',
children=html.Div([
'Drag and Drop or ',
html.A('Select Files')
]),
style={
'width': '100%',
'height': '60px',
'lineHeight': '60px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center',
'margin': '10px'
},
),
html.Div(id='output-data-upload'),
])
def parse_contents(contents, filename):
content_type, content_string = contents.split(',')
decoded = base64.b64decode(content_string)
if 'csv' in filename:
# Assume that the user uploaded a CSV file
return pd.read_csv(
io.StringIO(decoded.decode('utf-8')))
elif 'xls' in filename:
# Assume that the user uploaded an excel file
return pd.read_excel(io.BytesIO(decoded))
@app.callback(Output('output-data-upload', 'children'),
[Input('datatable-upload', 'contents')],
[State('datatable-upload', 'filename')])
def update_output(contents, filename):
if contents is None:
return []
df = parse_contents(contents, filename)
return html.Div([
dash_table.DataTable(
id='table',
style_data={
'whiteSpace': 'normal',
'height': 'auto'
},
style_table={'overflowX': 'scroll',
'maxHeight': '300',
'overflowY': 'scroll'},
style_cell={
'minWidth': '150px', 'maxWidth': '180px',
'whiteSpace': 'normal',
'textAlign': 'left'
},
style_header={
'fontWeight': 'bold',
},
fixed_rows={'headers': True, 'data': 0},
columns=[{"name": i, "id": i, 'deletable': True, 'renamable': True} for i in df.columns],
data=df.to_dict("records"),
row_deletable=True,
filter_action="native",
sort_action="native",
sort_mode='multi',
editable=True,
export_format='csv',
export_headers='display',
merge_duplicate_headers=True,
)
])
if __name__ == '__main__':
app.run_server(debug=True)