plotly-dash

问题 I have a table that has looks like this ... ticker,price1y,price2y,price3y,price5y, aapl,12,23,47,69, tsla,-9,24,54,190, att,-10,23,34,35, I would like to plot these using pandas plotly in dash to show price1y price2y ... price5y along the x axis and % change up the y axis. i need to be able to select multiple values to add to the graph using dash's callback feature. i currently create a dash_core_components graph however i have been unsuccessfully in plotting to this. app.layout = html.Div([

问题 Uploading Excel or CSV results in an error. I followed the Dash demo, but as soon as I try to extend it to do something like plotting, it doesn't work. I don't want to just show a table. The Dash_Table function was updated, so previous examples that used Dash_Table_Experiments no longer work I've spent the whole night on stack exchange, tinkering with my code and reading other solutions. the full working code is provided below. I'd like to also add a drop down call back function to "filter"

问题 I need to render a wordcloud on my dash application. According to this thread https://community.plot.ly/t/solved-is-it-possible-to-make-a-wordcloud-in-dash/4565, there is no wordcloud build-in component in dash. One workaround is to use WordCloud module to produce the wordcloud as image and use dash_html_components.Img to show on layout. I'm new to Dash. Not sure how I can render the image. Do I need to save wordcloud as temp image everytime I produce a wordcloud? Really appreciate it if

问题 I am trying to serve a Dash app using Heroku. I have 5 files in my app: .gitignore venv *.pyc .DS_Store .env app.py import os import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objs as go import pandas as pd # Read in the data districts_change = pd.read_csv("https://github.com/thedatasleuth/New-York-Congressional-Districts/blob/master/districts_change.csv?raw=True") df = districts_change.drop(['TOTAL'], axis=1) # Get a list of all the

问题 I am trying to have a dash component properly input variables and give appropriate output. Currently multiple inputs will make the functionality not work. I've put multi=true for my dcc dropdown - hasn't worked successfully yet. This is the code I have used. import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output import pandas as pd import plotly.graph_objs as go df = pd.read_excel('FreewayFDSData.xlsx', 'Volume', parse

问题 I am trying to plot 3 pie charts side by side. I don't understand why the following code is making the pie charts go across the page diagonally left to write rather than horizontally left to write in one line. Here's my code: app.layout = html.Div([ html.Div([ dcc.Graph(id='TPiePlot', figure={ 'data': [go.Pie(labels=labels1, values=values1, marker=dict(colors=colors, line=dict(color='#fff', width=1)), hoverinfo='label+value+percent', textinfo='value', domain={'x': [0, .25], 'y': [0, 1]} ) ],

问题 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

问题 I am just getting started with dash. Taking the example from here. I want to convert the dash app below import dash from dash.dependencies import Input, Output import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div([ dcc.Input(id='my-id', value='initial value', type="text"), html.Div(id='my-div') ]) @app.callback( Output(component_id='my-div', component_property='children'), [Input(component_id='my-id', component_property='value')] ) def

问题 I stumbled upon this post and used the modification mentioned in the comment of the final answer for my own program. But before I tried to test it with the following code: import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objs as go import pandas as pd app = dash.Dash() daterange = pd.date_range(start='1994',end='2018',freq='W') app.layout = html.Div(children=[ html.H1('Range Slider Testing'), html.Div( [ html.Label('From 1994 to 2018', id=

问题 I am trying to create dash table on Web using Inputs. However the issue is that the data is created from database from the callback and a priori, I do not know the names of the columns unless the pandas dataframeis created using the callback function. I have checked that I getting correct data. However not able to display it. I have used multiple output options (using Dash 0.41) My code looks as follows: ( I have not provided the details of the function which generates the pandas dataframe in