plotly-dash

问题 I am using Dash. One of the thing I want to do is have a label and slider side by side. The following code render this. What can I do the the code so that the slider label and the slider shows up side by side. Thanks. html.Div( [ html.Label("First Slider"), dcc.RangeSlider( id="my-range-slider", # label="Slider 1", min=0, step=0.01, max=1, value=[0.2, 0.8], marks={0: "0", 1: "1"}, allowCross=False, ), ], className="rows", ), html.Div( [ html.Label("Second Slider"), dcc.RangeSlider( id="my

问题 I have a plotly dash app which I would like to hold behind a route that is protected with a JWT. My end goal is to contain this in an iframe on a separate route, but I only want the user to be able to get the html of th dash app if they have an access token. I have retried returning the app itself in a get request. App.py import dash from flask import Flask, jsonify, request from flask_jwt_extended import ( JWTManager, jwt_required, create_access_token, get_jwt_identity ) server = Flask(_

问题 I need to change subplot title in python plotly, namely, rotate it by 90 degrees. I tried hard but without any success. Here is my code import plotly.offline as pyo import plotly.graph_objs as go from plotly import tools trace1 = go.Bar( x=[1, 2, 3], y=[10, 11, 12] ) trace2 = go.Bar( x=[1, 2, 3], y=[100, 110, 120], ) trace3 = go.Bar( x=[1, 2, 3], y=[1000, 1100, 1200], ) fig = tools.make_subplots(rows=1, cols=3, shared_xaxes=True, shared_yaxes=True, vertical_spacing=0.001, subplot_titles = (

问题 I need to change subplot title in python plotly, namely, rotate it by 90 degrees. I tried hard but without any success. Here is my code import plotly.offline as pyo import plotly.graph_objs as go from plotly import tools trace1 = go.Bar( x=[1, 2, 3], y=[10, 11, 12] ) trace2 = go.Bar( x=[1, 2, 3], y=[100, 110, 120], ) trace3 = go.Bar( x=[1, 2, 3], y=[1000, 1100, 1200], ) fig = tools.make_subplots(rows=1, cols=3, shared_xaxes=True, shared_yaxes=True, vertical_spacing=0.001, subplot_titles = (

问题 I have a requirement of downloading files from a folder which I could do using this link After which I wanted to segment the files in different tabs which I could do but NOT ALL FILES are listed . Only shows one file out of 10 files Any hints will help. I want to cluster similar type of files in each tab for user to download as per the segment and it should show all the files in that folder. I could see full list when tabs are not added. But after adding tabs to the dash code the full file

问题 I am trying to add interactivity to a plotly 3d scatter plot which I am hosting using dash. My question contains two related parts: (i) I would like to manually select points in my 3d scatter and change the selected points' colour to red. Selection should include click event and selection event. (ii) I would like to be able to delete these points from the plot on pressing of a key e.g. 'delete' key. Part (i) is similar to an example in the plotly guide https://plot.ly/python/click-events/,

问题 I'm trying to create an plot for plotly/dash with a background image. The plot is created, but the background image doesn't. The file and the image are located in the same directory. Am I missing something? import base64 import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objects as go IMAGE_FILENAME1 = 'link.png' image1 = base64.b64encode(open(IMAGE_FILENAME1, 'rb').read()) fig = go.Figure( data=[go.Bar(y=[2, 1, 3])], layout_title_text=

问题 I'd like to display the count of certain criteria inside a div in my dash layout based off callback selection from dropdown. I'm able to get the dropdown for the values in a pandas dataframe column, but I'm having trouble figuring out how to display the total count of the a selected element of the column. For example, I've written a function in Jupyter notebook to get a count def getCount(df, selected_org): totCount = df[df['ORGANIZATIONS'] == selected_org].AGENCY.count() return count

问题 I have develop a simple program using dash plotly in spyder but it showing me the following error. import dash import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div( html.H1(children='Hello Dash') ) if __name__ == '__main__': app.run_server(debug=True) but it showing me the following error. Running on http://127.0.0.1:8050/ Debugger PIN: 870-923-677 Traceback (most recent call last): File "<ipython-input-13-3c5b23764cd8>", line 5, in

问题 I am trying to deploy a plotly dash to IIS. First I followed the instructions in the link: Flask on IIS - James Polera then when i use this script it is works: from flask import Flask app = Flask(__name__) @app.route("/") def hello(): return "Hello from FastCGI via IIS!" if __name__ == "__main__": app.run() but when i use this script it doesn't works for dash: import dash import dash_core_components as dcc import dash_html_components as html app = dash.Dash() app.layout = html.Div(children=