dash | No JavaScript Required | Data Visualization library

 by   plotly Python Version: 2.17.1 License: MIT

kandi X-RAY | dash Summary

kandi X-RAY | dash Summary

dash is a Python library typically used in Analytics, Data Visualization, Jupyter applications. dash has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install dash' or download it from GitHub, PyPI.

Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ️ with Dash itself).

            kandi-support Support

              dash has a medium active ecosystem.
              It has 18829 star(s) with 1890 fork(s). There are 409 watchers for this library.
              There were 5 major release(s) in the last 6 months.
              There are 708 open issues and 808 have been closed. On average issues are closed in 230 days. There are 39 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dash is 2.17.1

            kandi-Quality Quality

              dash has 0 bugs and 0 code smells.

            kandi-Security Security

              dash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              dash code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              dash is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              dash releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dash and discovered the below as its top functions. This is intended to give you an instant insight into dash implemented functionality, and help decide if they suit your requirements.
            • Enable dev tools
            • Generate a random salt
            • Return the combined configuration value for the given name
            • Return a dictionary of environment variables
            • Register a new page
            • Return the relative path to requests_path
            • Infer image from module
            • Return path relative to given path
            • Create a callback for the given arguments
            • Return a mapping of component IDs to component IDs
            • Generate a class file for each Dash component
            • Serve component suites
            • Bootstrap dash components
            • Returns the args_grouping parameter
            • Generate struct file
            • The list of triggered inputs
            • Get the result from backend
            • Gets the result of a key
            • Get the component id of the component
            • Send a file
            • Call a job function
            • Register a Clientside callback
            • Dispatch the request
            • Enable page navigation
            • Called when an asset is changed
            • Setup the dashboard
            Get all kandi verified functions for this library.

            dash Key Features

            No Key Features are available at this moment for dash.

            dash Examples and Code Snippets

            extract medicine name and dose with regex pattern
            Pythondot img1Lines of Code : 2dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            (^|\n)(.*) \(([^\-]+)- ([^\-]+)- ([^-]+)- \[([^\-]+)- ([^\-]+)- ([^\-]+)\]\)
            Pie chart with multiple dropdown options
            Pythondot img2Lines of Code : 58dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import dash
            from dash import html
            from dash import dcc
            import dash_bootstrap_components as dbc
            from jupyter_dash import JupyterDash
            from dash.dependencies import Input, Output, State
            import plotly.express as px
            import plotly.graph_objects 
            Tokenize text but keep compund hyphenated words together
            Pythondot img3Lines of Code : 14dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import re
            def preprocess(text):
              #remove all non-alpha characters but - between letters
              text = re.sub(r'[\W\d_](? Attended pre-tender etc meetings
            Python Dash: Exclude option from one dropdown when chosing the same option in another dropdown
            Pythondot img4Lines of Code : 6dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def set_options1(first_dropdown):
                return [
                    {'label': i, 'value': i} 
                    for i in all_options[first_dropdown] if i != first_dropdown
            Cant seem to fix this error in vscode : "(" was not closed
            Pythondot img5Lines of Code : 33dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import dash
            import dash_core_components as dcc
            import dash_html_components as html
            external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
            app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
            app.layout = h
            Can I add a vline and hline to a plotly plot ignoring marginal plots?
            Pythondot img6Lines of Code : 3dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            fig.add_hline(y=df['X'].mean(), line_dash='dash', row=1, annotation_text= f"{df['X'].mean():.0f}")
            fig.add_vline(x=df['Y'].mean(), line_dash='dash', col=1, annotation_text=f"{df['Y'].mean():.0f}")
            Plotly interactive visualizations dropdown
            Pythondot img7Lines of Code : 75dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import dash
            from dash import html, dcc
            app = dash.Dash(__name__)
            app.layout = html.Div([
                              'data': [{
                                    'x': [1,2,3],
                                    'y': [1,7,4],
            Rendering buttons from variables in Flask
            Pythondot img8Lines of Code : 7dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            Callback error in Plotly/Dash app - Python
            Pythondot img9Lines of Code : 2dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
             def update_figures(n, m):
            Union of two DataFrames with different column and row indexes updating existing values - Pandas
            Pythondot img10Lines of Code : 31dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            data1 = {'A': {'A': 'x', 'D': 'x', 'E': 'x'},
                     'B': {'A': 'x', 'D': 'x', 'E': 'x'},
                     'C': {'A': 'x', 'D': 'x', 'E': 'x'}}
            df1 = pd.DataFrame(data1)
                A   B   C
            A   x   x   x
            D   x   x   x
            E   x   x

            Community Discussions


            Dash ImportError: cannot import name 'get_current_traceback' from 'werkzeug.debug.tbtools'
            Asked 2022-Mar-30 at 07:41

            I'm trying to run a simple dash app in a conda environment in Pycharm, however I'm running into the error in the title. Weirdly enough, I couldn't find a place on the internet which has a mention of this bug, except for here. The code is simple, as all I'm trying to run is a simple dashapp; code obtained the code from here. I have tried switching between python versions in conda (back and forth between python 3.9, 3.8 and 3.7) but the error seems to be persistent. I know I have also correctly installed all its dependencies as I'm not getting any import error. Would appreciate if anyone could help with this.

            Edit: Versions of Dash installed, as requested by @coralvanda :

            Basically, I just did a pip install of everything so all the versions of packages are the latest.

            Screenshot of a full traceback of the error:



            Answered 2022-Mar-29 at 03:40

            I've been in the same problem.

            Uninstall the wrong version with:

            Source https://stackoverflow.com/questions/71654590


            You cannot render a inside another . You should never have more than one in your app
            Asked 2022-Mar-21 at 07:09
            import { BrowserRouter, Routes, Route } from "react-router-dom";
            import HomeLayoutRoute from "./components/layouts/HomeLayout";
            import Home from './components/Home';
            //import Dashboard from './components/Dash';
            // Routing
            import PrivateRoute from "./components/routing/PrivateRoute";
            // Screens
            import PrivateScreen from "./components/loginscreens/PrivateScreen";
            import LoginScreen from "./components/loginscreens/LoginScreen";
            import RegisterScreen from "./components/loginscreens/RegisterScreen";
            import ForgotPasswordScreen from "./components/loginscreens/ForgotPasswordScreen";
            import ResetPasswordScreen from "./components/loginscreens/ResetPasswordScreen";
            const App = () => {
              return (
                      } />
                      } />
                      } />
                      } />
            export default App;


            Answered 2021-Nov-03 at 16:48
            import { BrowserRouter as Router, Routes, Route } from "react-router-dom";
            import HomeLayoutRoute from "./components/layouts/HomeLayout";
            import Home from './components/Home';
            //import Dash from './components/DashBoard';
            // Routing
            import PrivateRoute from "./components/routing/PrivateRoute";
            // Screens
            import PrivateScreen from "./components/loginscreens/PrivateScreen";
            import LoginScreen from "./components/loginscreens/LoginScreen";
            import RegisterScreen from "./components/loginscreens/RegisterScreen";
            import ForgotPasswordScreen from "./components/loginscreens/ForgotPasswordScreen";
            import ResetPasswordScreen from "./components/loginscreens/ResetPasswordScreen";
            const App = () => {
              return (
            export default App;

            Source https://stackoverflow.com/questions/69828516


            Creating inverted border radius and box-shadow together
            Asked 2022-Feb-24 at 15:55

            I want to create an inverted border radius similar to:

            However, it is being hard to create it due to the box-shadow. I have tried many solutions, such use box-shadow inset, or the filter drop-shadow with clip-path without good results.

            I am on this point:



            Answered 2021-Sep-27 at 07:49

            This is a way of doing this: for the holes at the start and the end of the ticket you can use the before and after elements. Both pseudo elements are transparent with a big white box shadow: box-shadow: 0px 0px 1px 50vw white;. Since the .dashed element has overflow:hidden you will see the box shadow of the pseudo elements only inside the .dashed and will look as if the .dashed has a white background.

            For the outer shadow you can now use a drop shadow filter as you intended.

            Source https://stackoverflow.com/questions/69342359


            How to detect range of positions of specific set of characters in a string
            Asked 2022-Feb-18 at 16:52

            I have the following sequence:



            Answered 2022-Feb-18 at 14:50


            Plotly dash table add rows and update input data
            Asked 2022-Feb-15 at 05:25

            I'm trying to make a dash table based on input data but I'm stucking in add more rows to add new inputs. Actually I read this docs and I know that I can directly input in dash table but I want to update dash table from input.

            Below is my code:



            Answered 2022-Feb-15 at 05:25

            tran Try to replace your callback with this callback:

            Source https://stackoverflow.com/questions/71045841


            Programmatically label multiple ablines in R ggplot2
            Asked 2022-Jan-18 at 22:35

            There are existing questions asking about labeling a single geom_abline() in ggplot2:

            None of these get at a use-case where I wanted to add multiple reference lines to a scatter plot, with the intent of allowing easy categorization of points within slope ranges. Here is a reproducible example of the plot:



            Answered 2022-Jan-17 at 21:55

            This was a good opportunity to check out the new geomtextpath, which looks really cool. It's got a bunch of geoms to place text along different types of paths, so you can project your labels onto the lines.

            However, I couldn't figure out a good way to set the hjust parameter the way you wanted: the text is aligned based on the range of the plot rather than the path the text sits along. In this case, the default hjust = 0.5 means the labels are at x = 0.5 (because the x-range is 0 to 1; different range would have a different position). You can make some adjustments but I pretty quickly had labels leaving the range of the plot. If being in or around the middle is okay, then this is an option that looks pretty nice.

            Source https://stackoverflow.com/questions/70747032


            Is it possible to combine a ggplot legend and table
            Asked 2022-Jan-07 at 03:57

            I was wondering if anyone knows a way to combine a table and ggplot legend so that the legend appears as a column in the table as shown in the image. Sorry if this has been asked before but I haven't been able to find a way to do this.

            Edit: attached is code to produce the output below (minus the legend/table combination, which I am trying to produce, as I stitched that together in Powerpoint)



            Answered 2021-Dec-31 at 13:24

            This is an interesting problem. The short answer: Yes, it's possible. But I don't see a way around hard coding the position of table and legend, which is ugly.

            The suggestion below requires hard coding in three places. I am using {ggpubr} for the table, and {cowplot} for the stitching.

            Another problem arises from the legend key spacing for vertical legends. This is still a rather unresolved issue for other keys than polygons, to my knowledge. The associated GitHub issue is closed The legend spacing is not a problem any more. Ask teunbrand, and he knows the answer.

            Some other relevant comments in the code.

            Source https://stackoverflow.com/questions/70511777


            How to set condition for array value inside v-for in Vuejs?
            Asked 2022-Jan-05 at 11:32




            Answered 2021-Dec-30 at 07:19

            Your usage of computed property is wrong.

            You have to bind the computed property status, to each objects inside paints array.

            The best option for this one will be creating a seperate component to display the status.

            I have refered to this answer for your solution implementation.


            Create a component StatusComponent inside HelloWorld component and pass box, paint and matchingdata as props to it.

            So your HelloWorld.vue component will be as below.


            Source https://stackoverflow.com/questions/70136714


            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

            Here is my data:



            Answered 2021-Dec-16 at 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064


            Datalist with free text error "Select a valid choice. That choice is not one of the available choices."
            Asked 2021-Dec-13 at 23:30

            I am building a Create a Recipe form using crispy forms and I am trying to use a datalist input field for users to enter their own ingredients, like 'Big Tomato' or select from GlobalIngredients already in the database like 'tomato' or 'chicken'. However, regardless of whether I enter a new ingredient or select a pre-existing one, I am getting the following error: "Select a valid choice. That choice is not one of the available choices.". How do I fix this error?





            Answered 2021-Dec-12 at 17:37

            You can create your own TextInput and TypedModelListField field to handle this. I think what you're looking for is something which allows the user to both search and provide a recommended selection of choices but validate the input against a model (Ingredient).

            I've created one here:

            Source https://stackoverflow.com/questions/70268872

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install dash

            You can install using 'pip install dash' or download it from GitHub, PyPI.
            You can use dash like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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