miletus

GM.

Public Key

npub1na08pm8eng9vv9cu5q2gskhtjwzrh2rfceujp83w5jakrdvxmf7sh9snnx

Profile Code

nprofile1qqsf7hnsanue5zkxzuw2q9ygtt4e8ppm4p5uv7fqnch2fwmpkkrd5lgpzemhxue69uhhyetvv9ujumn0wd68ytnzv9hxgqgcwaehxw309aex2mrp0yhxummnwa5x2un99e3k7mgue4mpp

Publishing to

relay.nostr.band

relay.noswhere.com

nostr.drss.io

Author Public Key

npub1na08pm8eng9vv9cu5q2gskhtjwzrh2rfceujp83w5jakrdvxmf7sh9snnx

Show more details

Last Notes

2023-02-11 14:51:50

- reply

whats the best way to get a lightning address?

2023-01-11 14:16:33

The right path is not always the easiest.

2023-01-11 08:38:10

- reply

It seems bugged and incoherent babbling,
Strange how this bot can sound so convincing, yet obviously wrong.

2023-01-10 06:58:21

- reply

Error 404
Page not found

2023-01-10 06:57:45

- reply

i want to run a server, not a client

2023-01-10 06:56:55

#[1]
how to run your own gpt3?

2023-01-10 06:53:17

- reply

there are 11 chapters.
what are the names?

2023-01-10 06:52:42

#[1]
Read https://en.wikipedia.org/wiki/The_Sovereign_Individual .
Give the names of the chapters of the book The Sovereign Individual.

2023-01-10 06:51:19

- reply

Read https://en.wikipedia.org/wiki/The_Sovereign_Individual give the correct title names.

2023-01-10 06:50:43

- reply

What are the titles, according to wikipedia?

2023-01-10 06:50:12

- reply

Titles are incorrect. Read titles again.

2023-01-10 06:48:51

- reply

Read https://en.wikipedia.org/wiki/The_Sovereign_Individual. How many chapters does the book have?

2023-01-10 06:47:45

- reply

The has 11 chapters, not 16.

2023-01-10 06:45:01

- reply

Give source of publisher's website

2023-01-10 06:44:27

- reply

This is not correct.
How can you know the chapters if you have not read the book?

2023-01-10 06:42:35

- reply

give the title of each chapter

2023-01-10 06:41:30

- reply

how many chapters does the book, The Sovereign Individual: Mastering the Transition to the Information Age have?

2023-01-10 06:40:11

- reply

there is no chapter 14 in that book

2023-01-10 06:38:33

- reply

name title of the book or paper

2023-01-10 06:34:44

- reply

give the title of the chapter

2023-01-10 06:29:47

- reply

what page or chapter is this?

2023-01-10 06:28:31

- reply

Are you sure that is what is mentioned in the book? give a quote from the book

2023-01-10 06:27:23

- reply

explain the possible solutions

2023-01-10 06:26:51

- reply

why is boosting consumption and increasing demand a good thing

2023-01-10 06:25:59

- reply

explain the impact of gangs and crime according to the sovereign individual book

2023-01-10 06:25:09

#[1] have you read the sovereign individual?

2023-01-10 06:23:52

- reply

So when any inflation occurs, it is bad

2023-01-09 21:06:23

- reply

give an example of stimulus that does not create inflation

2023-01-09 21:06:23

- reply

give an example of stimulus that does not create inflation

2023-01-09 21:05:38

- reply

can stimulus create inflation or will stimulus create inflation

2023-01-09 21:04:39

- reply

can or will

2023-01-09 21:03:57

- reply

does stimulus create inflation?

2023-01-09 21:03:07

- reply

who pays for stimulus

2023-01-09 21:02:08

- reply

how does stimulus reduce risk

2023-01-09 21:00:07

- reply

how does a government policy reduce uncertainty according to keynesians

2023-01-09 20:57:57

- reply

difference between austrian and keynes regarding uncertainty

2023-01-09 20:56:29

- reply

explain uncertainty for keynesian

2023-01-09 20:54:51

- reply

uncertainty in praxeology

2023-01-09 20:48:58

- reply

explain the impact of monetary policy on time preference

2023-01-09 20:48:07

- reply

explain low time preference

2023-01-09 20:46:37

- reply

explain economization of time

2023-01-09 20:44:36

- reply

explain temporal relation between actions

2023-01-09 20:40:23

#[1] what is the impact of time on praxeology

2023-01-09 16:16:30

- reply

give ccs file for dash_table.DataTable in darkmode

2023-01-09 16:15:18

- reply

give css file for table in darkmode

2023-01-09 16:13:53

- reply

give css file for darkmode

2023-01-09 16:02:58

- reply

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

- reply

This is not correct.

2023-01-09 15:40:25

- reply

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

2023-01-09 15:38:58

- reply

incorrect. Try again.

2023-01-09 15:37:52

- reply

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

- reply

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

- reply

do not use dcc.Graph, use DataTable

2023-01-09 15:27:29

- reply

remove the graph

2023-01-09 15:26:48

- reply

Code must use a table, not graph

2023-01-09 15:25:17

- reply

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

- reply

How does midjourney image AI work?

2023-01-09 15:20:00

#[1] How does midjourney AI work?

2023-01-08 14:09:47

- reply

from .dash import Dash, no_update # noqa: F401

2023-01-08 14:09:01

- reply

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

- reply

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

- reply

give required version for all imported packages or dependencies.

2023-01-08 14:04:35

- reply

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

2023-01-08 14:02:07

- reply

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

- reply

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

2023-01-08 13:55:16

- reply

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

- reply

give command to upgrade to latest python version on linux

2023-01-08 13:51:11

- reply

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

2023-01-08 13:46:15

- reply

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

- reply

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

2023-01-08 13:43:57

- reply

and which version of dash does this depend on?

2023-01-08 13:43:06

- reply

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

- reply

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

2023-01-08 13:40:27

- reply

change dcc.Table to DataTable and compile

2023-01-08 13:38:32

- reply

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

2023-01-08 13:35:24

- reply

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

2023-01-08 13:33:54

- reply

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

- reply

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

2023-01-08 13:27:04

- reply

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

- reply

2023-01-08 13:15:51

- reply

how do I update dash_table component

2023-01-08 13:14:36

- reply

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

- reply

And after that?

2023-01-08 13:11:54

- reply

Please give line 40 to 80

2023-01-08 13:11:09

- reply

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

2023-01-08 13:07:42

- reply

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

- reply

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

- reply

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

2023-01-08 13:00:30

- reply

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

- reply

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.