plotly-dash

问题 I've met plot.ly dash yesterday for the first time and created some interactive plot. And I added dash_core_components.Slider() object like below code. dcc.Slider( id='month--slider', min=0, max=12, value=12, step=None, marks={'1': '1', '6': '6', '12': {'label': '12', 'style': {'color': 'red'}}} ) I've read help(dcc.Slider) but I couldn't find the way to change the skyblue color of my slider below. So my question here...Is it possible to change the color(or style) of default slider of plot.ly

问题 I'm in the process of evaluating python plotly and/or dash as an alternative to bokeh/holoviews for linked plots that update images. Requirements: linking data point to image: I have scatter plots and heatmaps in which individual data points represent values derived from images. I would like to link back from a data point in a scatterplot to the image that the numerical value for this data point was derived from. The image data is in a numpy array or can be provided by a callback function. I

问题 I'm new to Dash. I would like to make a app, where I can select values from dropdown filter, filter dataset and display the data table. I'm using dash_table. My example app code is below. No datatable is shown. Does anyone know what I did wrong? How can I render dash table in dash app? import dash import dash_html_components as html import dash_core_components as dcc import dash_table as dt from dash.dependencies import Input, Output import pandas as pd df = pd.read_csv('https://raw

问题 How do I get all values of dynamically selected dropdown in a single list? I tried doing callback inside callback with for loop iteration, but unable to get the desired list. The issue with def a_function where callback inside a callback is present. How to get in a single list of multiple dropdowns which is dynamically updated? import dash import dash_core_components as dcc import dash_html_components as html step = html.Div( children=[ "Menu:", dcc.Dropdown(options=[{'label': v, 'value': v}

问题 I am trying to convert this simple plotly funnel dashboard to a Dash dashboard: from plotly import graph_objects as go fig = go.Figure(go.Funnel( y = ["Website visit", "Downloads", "Potential customers", "Requested price", "invoice sent"], x = [39, 27.4, 20.6, 11, 2])) fig.show() Output: I have written the following piece of code for Dash but no luck. import dash import dash_core_components as dcc import dash_html_components as html from plotly import graph_objects as go app = dash.Dash() app

问题 I want to stop the user from pressing the "Submit" button for 30 seconds, after they have pushed it in the script below. How would I go about doing this? This is how my code looks currently: import dash from dash.dependencies import Input, Output, State 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.Button('Submit', id='button'), html.Div(id='my-div') ]) @app

问题 I am recently exploring Plotly and I wonder if there is a way for sharing a plot and let the viewer switch between a logarithmic axis and linear axis. Any suggestion? 回答1: Plotly has a dropdown feature which allows the user to dynamically update the plot styling and/or the traces being displayed. Below is a minimal working example of a plot where the user can switch between a logarithmic and linear scale. import plotly import plotly.graph_objs as go x = [1, 2, 3] y = [1000, 10000, 100000] y2

问题 I wanted to inquire, i am using dash, how to display a value computed from the back end? say I am going to show the sum (in the front end) of the Sales column from a dataframe df in the backend, so, how should i set up the dashboard? i understand i will have the line below for the output, html.Div(id='sum') but how do i set the callback? @app.callback(Output('sum', 'children'), [Input('df', 'value')]) def get_sum('Sales'): sum = df["Sales"].sum return 'Grand Total = "{}"'.format(sum) thank

问题 I wanted to inquire, i am using dash, how to display a value computed from the back end? say I am going to show the sum (in the front end) of the Sales column from a dataframe df in the backend, so, how should i set up the dashboard? i understand i will have the line below for the output, html.Div(id='sum') but how do i set the callback? @app.callback(Output('sum', 'children'), [Input('df', 'value')]) def get_sum('Sales'): sum = df["Sales"].sum return 'Grand Total = "{}"'.format(sum) thank

问题 I am currently working on a website and I am using python, dash and bootstrap. I am making cards from bootstrap for hundreds of items. The problem is on each cards there is an edit button that when clicked will pop up a modal with the information on that item. I have no clue on how to create one callback for for every single one of these items. from collections import OrderedDict import dash import pandas as pd import dash_bootstrap_components as dbc import dash_core_components as dcc import