miletus

Using short name for 'orient' is deprecated. Only the options: ('dict', list, 'series', 'split', 'records', 'index') will be used in a future version. Use one of the above to silence this warning.

2023-01-09 16:00:25

#[1]
give code.
python dash web application.
has table.
use css for table.
use css for web page background.

2023-01-09 15:53:30

#[1]
give sample code for python web application using dash.
css in darkmode.
has table.

2023-01-09 15:45:03

#[1]
give sample code for python web application using dash.
load postgres sql table into pandas using sqlaclemy engine.

2023-01-09 15:43:00

- reply

from dash import Dash, dcc, html, Input, Output, dash_table
import pandas as pd
# Create the Dash app
app = Dash(__name__)
# Read the Data
df = pd.read_csv('data.csv')
# Create a Dash Layout
app.layout = html.Div([
# Add a header and a paragraph
html.H1("Dashboard Showing DatePickerSingle"),
html.P("This dashboard filters data based on DatePickerSingle"),
# Add a DataTable
dcc.DatePickerSingle(
id='date_picker_single',
min_date_allowed=df['date'].min(),
max_date_allowed=df['date'].max(),
initial_visible_month=df['date'].min(),
date=df['date'].max()
),
# Add a Table
dash_table.DataTable(id='table', data=df.to_dict('records'), columns=[{"name": i, "id": i} for i in df.columns])
])
# Update the Index
@app.callback(
Output('table', 'data'),
[Input('date_picker_single', 'date')])
def update_table(selected_date):
# Filter the data based on the selected date
filtered_df = df[df['date'] == selected_date]
# Create the Table
table_data = filtered_df.to_dict("rows")
return table_data
# Run the Dash app
if __name__ == '__main__':
app.run_server(debug=True)

2023-01-09 15:42:23

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This is not correct.

2023-01-09 15:40:25

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incorrect. I gave you the correct code. Give the correct code.

2023-01-09 15:38:58

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incorrect. Try again.

2023-01-09 15:37:52

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Give the correct code for a web application using python dash. It has a table with date column. It uses a DatePickerSingle to filter date column.

2023-01-09 15:36:24

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Bellow is the correct code. Explain the difference.
from dash import Dash, dcc, html, Input, Output, dash_table
import pandas as pd
# Create the Dash app
app = Dash(__name__)
# Read the Data
df = pd.read_csv('data.csv')
# Create a Dash Layout
app.layout = html.Div([
# Add a header and a paragraph
html.H1("Dashboard Showing DatePickerSingle"),
html.P("This dashboard filters data based on DatePickerSingle"),
# Add a DataTable
dcc.DatePickerSingle(
id='date_picker_single',
min_date_allowed=df['date'].min(),
max_date_allowed=df['date'].max(),
initial_visible_month=df['date'].min(),
date=df['date'].max()
),
# Add a Table
dash_table.DataTable(id='table', data=df.to_dict('records'), columns=[{"name": i, "id": i} for i in df.columns])
])
# Update the Index
@app.callback(
Output('table', 'data'),
[Input('date_picker_single', 'date')])
def update_table(selected_date):
# Filter the data based on the selected date
filtered_df = df[df['date'] == selected_date]
# Create the Table
table_data = filtered_df.to_dict("rows")
return table_data
# Run the Dash app
if __name__ == '__main__':
app.run_server(debug=True)

2023-01-09 15:28:39

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do not use dcc.Graph, use DataTable

2023-01-09 15:27:29

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remove the graph

2023-01-09 15:26:48

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Code must use a table, not graph

2023-01-09 15:25:17

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give sample data for data.csv

2023-01-09 15:23:43

#[1] give code for web application using python dash. Table with date column. DatePickerSingle to filter date column.

2023-01-09 15:21:11

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How does midjourney image AI work?

2023-01-09 15:20:00

#[1] How does midjourney AI work?

2023-01-08 14:09:47

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from .dash import Dash, no_update # noqa: F401

2023-01-08 14:09:01

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Requirement already satisfied: werkzeug in ./venv/lib/python3.10/site-packages (2.2.2)
Requirement already satisfied: MarkupSafe>=2.1.1 in ./venv/lib/python3.10/site-packages (from werkzeug) (2.1.1)

2023-01-08 14:08:05

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ImportError: cannot import name 'get_current_traceback' from 'werkzeug.debug.tbtools' (/home/user/PycharmProjects/ai_testing/venv/lib/python3.10/site-packages/werkzeug/debug/tbtools.py)

2023-01-08 14:05:39

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give required version for all imported packages or dependencies.

2023-01-08 14:04:35

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css_ conditioning=[
^^^^^^^^^^^^^^^^^
SyntaxError: invalid syntax. Perhaps you forgot a comma?

2023-01-08 14:02:07

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give rest of the code.

2023-01-08 14:00:55

#[1]
Give the code for a web application that uses python dash. The web page reports a table that can expand or collapse rows.

2023-01-08 13:58:55

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AttributeError: module 'collections' has no attribute 'MutableMapping'

2023-01-08 13:55:16

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AttributeError: module 'collections' has no attribute 'MutableMapping'
While is have: python3 is already the newest version (3.10.6-1~22.04).

2023-01-08 13:52:28

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give command to upgrade to latest python version on linux

2023-01-08 13:51:11

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AttributeError: module 'collections' has no attribute 'MutableMapping'

2023-01-08 13:46:15

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ERROR: Could not find a version that satisfies the requirement dash-table==3.0.0 (from versions: 3.1.0, 3.1.1, 3.1.2, 3.1.3, 3.1.4, 3.1.5, 3.1.6, 3.1.7, 3.1.8, 3.1.9, 3.1.10, 3.1.11, 3.1.12, 3.2.0, 3.3.0, 3.4.0, 3.5.0, 3.6.0, 3.7.0, 4.0.0, 4.0.1, 4.0.2, 4.1.0, 4.2.0, 4.3.0, 4.4.0, 4.4.1, 4.5.0, 4.5.1, 4.6.0, 4.6.1, 4.6.2, 4.7.0, 4.8.0, 4.8.1, 4.9.0, 4.10.0, 4.10.1, 4.11.0, 4.11.1, 4.11.2, 4.11.3, 4.12.0, 5.0.0rc1, 5.0.0)
ERROR: No matching distribution found for dash-table==3.0.0

2023-01-08 13:45:40

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ERROR: No matching distribution found for dash-table==3.0.0

2023-01-08 13:43:57

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and which version of dash does this depend on?

2023-01-08 13:43:06

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DataTable does not have expandable rows.
TypeError: The `dash_table.DataTable` component (version 2.7.1) with the ID "table-container" received an unexpected keyword argument: `expandable`

2023-01-08 13:41:10

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AttributeError: module 'dash_core_components' has no attribute 'DataTable'

2023-01-08 13:40:27

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change dcc.Table to DataTable and compile

2023-01-08 13:38:32

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AttributeError: module 'dash_core_components' has no attribute 'Table'. Did you mean: 'Tabs'?

2023-01-08 13:35:24

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which version of dash does this use? give command to install.

2023-01-08 13:33:54

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Give the code.

2023-01-08 13:33:26

#[1] give a web application that uses python dash. The web page reports a table that can expand or collapse rows.

2023-01-08 13:29:13

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ImportError: cannot import name 'get_current_traceback' from 'werkzeug.debug.tbtools'

2023-01-08 13:27:04

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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
dash-bootstrap-components 1.3.0 requires dash>=2.0.0, but you have dash 0.36.0 which is incompatible.

2023-01-08 13:19:21

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2023-01-08 13:15:51

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how do I update dash_table component

2023-01-08 13:14:36

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TypeError: The `dash_table.DataTable` component (version 2.7.1) with the ID "table" received an unexpected keyword argument: `row_collapsable`

2023-01-08 13:13:17

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And after that?

2023-01-08 13:11:54

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Please give line 40 to 80

2023-01-08 13:11:09

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#[5] from your first reply in this threat. Please repeat line 56 to 100.

2023-01-08 13:07:42

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Why the application not run?
import dash
from dash import dcc, Output, Input, html, dash_table
# Initialize the app
app = dash.Dash()
# Create the layout of the page
app.layout = html.Div([
# Header
html.Div([
html.H1("My Table Report")
], style={'textAlign': 'center'}),
# Body
html.Div([
html.Div([
dcc.Tabs(id="tabs", children=[
dcc.Tab(label="Table Report", value="table"),
])
]),
html.Div(id="tab-content")
])
])
# Create callback for table tab
@app.callback(Output(component_id='tab-content', component_property='children'),
[Input(component_id='tabs', component_property='value')])
def render_content(tab):
if tab == 'table':
return html.Div([
# Insert Dash DataTable here
html.Div(
children=[
dash_table.DataTable(
id='table',
columns=[
{'name': 'Name', 'id': 'name'},
{'name': 'Type', 'id': 'type'},
{'name': 'Score', 'id': 'score'},
],
data=[
{'name': 'Student 1', 'type': 'A', 'score': 5},
{'name': 'Student 2', 'type': 'A', 'score': 5},
{'name': 'Student 3', 'type': 'B', 'score': 4},
{'name': 'Student 4', 'type': 'B', 'score': 3},
],
style_cell={'textAlign': 'center'},
row_selectable='single',
filter_action="native",
sort_action="native",
sort_mode='multi',
column_selectable="single",
row_collapsable=True
)
],
updatemenus=[
{
'buttons': [
{
'args': [
{'visible': [True, False]},
{'title': 'Type A'}
],
'label': 'Type A',
'method': 'update'
},
{
'args': [
{'visible': [False, True]},
{'title': 'Type B'}
],
'label': 'Type B',
'method': 'update'
}
],
'direction': 'down',
'showactive': True,
'x': 0,
'xanchor': 'left',
'y': 1.2,
'yanchor': 'top'
},
],
# define the corresponding x, y axis
xaxis={'visible': False},
yaxis={'visible': False},
)
])
# Run the app
if __name__ == '__main__':
app.run_server(debug=True)

2023-01-08 13:05:13

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The dash_core_components package is deprecated. Please replace
`import dash_core_components as dcc` with `from dash import dcc`
import dash_core_components as dcc

2023-01-08 13:03:41

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The import is missing. I am getting an error:
NameError: name 'Output' is not defined

2023-01-08 13:00:30

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your reply is incomplete, give me the code after line 56

2023-01-08 12:57:50

#[1]
Write a python web application that uses dash.
The web application reports a table.
You can collapse and expand rows.

2023-01-08 12:53:41

#[1]
Write a python web application that uses dash.
The web application reports a table with two columns.
The first column is the account code description.
The second column is the amount.
The source of the web application is a csv file.

2023-01-08 11:51:09

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Write a python dash report that has a table that has two columns.

2023-01-08 11:34:00

#[1]
Give the code of a program in python dash.
It reports a balance sheet in a table with one column for the description and a second column for the amount.
The first section of the table is assets.
The second section of the table is liabilities and equity.

2023-01-08 11:27:33

#[1]
Give the code for a program. A python dash report that reports a balance sheet.