Hi all,
I’m sorry in advance. I usually use StackOverflow, please let me know if I have asked a question in the wrong place (I thought here would be more appropriate).
I have a data set that looks like this:
cat_id | author | year | publisher | country | value (dollars) |
---|---|---|---|---|---|
name1 | kunga | 1998 | D and D | Australia | 10 |
name2 | siba | 2001 | D and D | UK | 20 |
name3 | siba | 2001 | D and D | US | 20 |
name3 | shevara | 2001 | D and D | UK | 10 |
name3 | dougherty | 1992 | D and D | Australia | 20 |
name4 | ken | 2011 | S and K | Australia | 10 |
I want to turn this into a table in plotly dash. I have most of the code that I want set up:
#!/usr/bin/env python
import dash
from dash.dependencies import Input, Output, State
import dash_table
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
app = dash.Dash(__name__)
df = pd.read_excel('dash_test_doc.xlsx')
app.layout = html.Div([
html.Div([
dcc.Input(
id='adding-rows-name',
placeholder='Enter a column name...',
value='',
style={'padding': 10},
),
html.Button('Add Column', id='adding-rows-button', n_clicks=0)
], style={'height': 50}),
dash_table.DataTable(
id='adding-rows-table',
columns=[{"name": i, "id": i} for i in df.columns],
data = df.to_dict('rows'),
editable=True,
filtering=True,
sorting=True,
sorting_type="multi",
row_selectable="multi",
row_deletable=True,
selected_rows=[],
pagination_mode="fe",
style_cell_conditional=[
{
'if': {'row_index': 'odd'},
'backgroundColor': 'rgb(230, 255, 230)'
}
] + [
{
'if': {'column_id': c},
'textAlign': 'left'
} for c in ['Date', 'Region']
],
style_header={
'backgroundColor': 'white',
'fontWeight': 'bold'
}
),
html.Button('Add Row', id='editing-rows-button', n_clicks=0),
dcc.Graph(id='adding-rows-graph'),
])
@app.callback(
Output('adding-rows-table', 'data'),
[Input('editing-rows-button', 'n_clicks')],
[State('adding-rows-table', 'data'),
State('adding-rows-table', 'columns')])
def add_row(n_clicks, rows, columns):
if n_clicks > 0:
rows.append({c['id']: '' for c in columns})
return rows
@app.callback(
Output('adding-rows-table', 'columns'),
[Input('adding-rows-button', 'n_clicks')],
[State('adding-rows-name', 'value'),
State('adding-rows-table', 'columns')])
def update_columns(n_clicks, value, existing_columns):
if n_clicks > 0:
existing_columns.append({
'id': value, 'name': value,
'editable_name': True, 'deletable': True
})
return existing_columns
@app.callback(
Output('adding-rows-graph', 'figure'),
[Input('adding-rows-table', 'data'),
Input('adding-rows-table', 'columns')])
def display_output(rows, columns):
return {
'data': [{
'type': 'heatmap',
'z': [[row.get(c['id'], None) for c in columns] for row in rows],
'x': [c['name'] for c in columns]
}]
}
if __name__ == '__main__':
app.run_server(debug=True)
There is just three things that I’m struggling with if someone could help I would appreciate it:
-
I want to create a dropdown menu for each column, without pre-defining the dropdown options. for example using the table here, in publisher, there are two choices (D and D, and S and K); i want those to automatically appear as a dropdown option to filter by, without having to hardcode them in, because for example if I edit the input table and add a row, and there’s another publisher added (e.g. A and D), i want A and D to automatically be added to the dropdown options? (so ultimately, the idea would be to mimic excel, where I could select from a dropdown e.g. D and D and S and K from a dropdown for this column, and the entries would be filtered based on this).
-
is it possible to select multiple rows, and delete them with one action? at the minute, I can delete single rows.
-
Is it possible to export the table? e.g. say I read in a table, and then someone deletes some columns/rows, can I export the resulting table?
If anyone could help me figure out the code for these I’d appreciate it. As a a side note, since I’m just starting out, if anyone has any other suggestions for improvements to this script I’d appreciate it.