bokeh | Interactive Data Visualization in the browser , from Python | Data Visualization library

 by   bokeh Python Version: 3.5.0.dev1 License: BSD-3-Clause

kandi X-RAY | bokeh Summary

kandi X-RAY | bokeh Summary

bokeh is a Python library typically used in Analytics, Data Visualization, Jupyter applications. bokeh has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'npm i @quartic/bokehjs' or download it from GitHub, npm.

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              bokeh has a highly active ecosystem.
              It has 17667 star(s) with 4109 fork(s). There are 448 watchers for this library.
              There were 10 major release(s) in the last 6 months.
              There are 702 open issues and 6610 have been closed. On average issues are closed in 148 days. There are 36 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of bokeh is 3.5.0.dev1

            kandi-Quality Quality

              bokeh has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              bokeh is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              bokeh releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bokeh and discovered the below as its top functions. This is intended to give you an instant insight into bokeh implemented functionality, and help decide if they suit your requirements.
            • Invoke Bokeh command
            • Set basic configuration
            • Validates a warning
            • Decorate a function to return a validation function
            • Create a grid box
            • Plot a rose
            • Render a line
            • Render models
            • Render the script
            • Check if the given selector matches the given selector
            • Show an object
            • Generate HTML for given models
            • Create a list of hosts that can be used to restrict a wildcard value
            • Create a contour renderer
            • Return a list of attributes matching the given selector
            • Make the networkx graph
            • Create a palette for a given color
            • Generate HTML for a document
            • Generate a matplotlib calendar
            • Plots a rose
            • Performs clustering
            • Return True if the object matches the given selector
            • Calculate the bin of the data
            • Plot parallel plot
            • Convert a networkx graph into a graph
            • Show an application
            • Load the notebook
            • Make a graphviz plot
            • Push a notebook
            Get all kandi verified functions for this library.

            bokeh Key Features

            No Key Features are available at this moment for bokeh.

            bokeh Examples and Code Snippets

            `Bokeh `__
            Pythondot img1Lines of Code : 0dot img1License : Permissive (BSD-3-Clause)
            copy iconCopy
            pd.set_option("plotting.backend", "pandas_bokeh")  
            three.js - Bokeh Shader2
            JavaScriptdot img2Lines of Code : 240dot img2License : Permissive (MIT License)
            copy iconCopy
            import {
            	Vector2
            } from 'three';
            
            /**
             * Depth-of-field shader with bokeh
             * ported from GLSL shader by Martins Upitis
             * http://blenderartists.org/forum/showthread.php?237488-GLSL-depth-of-field-with-bokeh-v2-4-(update)
             *
             * Requires #define RINGS  
            three.js - Bokeh Shader
            JavaScriptdot img3Lines of Code : 102dot img3License : Permissive (MIT License)
            copy iconCopy
            /**
             * Depth-of-field shader with bokeh
             * ported from GLSL shader by Martins Upitis
             * http://artmartinsh.blogspot.com/2010/02/glsl-lens-blur-filter-with-bokeh.html
             */
            
            const BokehShader = {
            
            	defines: {
            		'DEPTH_PACKING': 1,
            		'PERSPECTIVE_CAMERA'  
            three.js - Bokeh Pass
            JavaScriptdot img4Lines of Code : 87dot img4License : Permissive (MIT License)
            copy iconCopy
            import {
            	Color,
            	MeshDepthMaterial,
            	NearestFilter,
            	NoBlending,
            	RGBADepthPacking,
            	ShaderMaterial,
            	UniformsUtils,
            	WebGLRenderTarget
            } from 'three';
            import { Pass, FullScreenQuad } from './Pass.js';
            import { BokehShader } from '../shaders/BokehSh  

            Community Discussions

            QUESTION

            Dynamically change the coordinates and the text of annotation with slider in Bokeh plot
            Asked 2022-Apr-17 at 19:34

            I have a Bokeh plot in which I have a slider. I want to change the coordinates of the line drawn with the slider, as shown in the screenshot of the figure. When I change the slider, the line changes its coordinates.

            I tried using a slider widget with columndatasource. But, as I am new to Python, I cannot get to move the location and text of the label with the slider. Is there a way to do that?

            My code is given below:

            ...

            ANSWER

            Answered 2022-Apr-17 at 11:57

            You can pass the Lable to the CustomJS-callback as well and modify the values of this model like you do with the ColumnDataSource. Don't forget to call lable.change.emit();.

            See the complete example below.

            Source https://stackoverflow.com/questions/71897813

            QUESTION

            BokehJS BoxZoomTool always active by default, even when setting active: false
            Asked 2022-Apr-12 at 06:58

            In BokehJS 2.4.2 the BoxZoomTool is always active by default, even when setting the active property to false when adding the tool.

            ...

            ANSWER

            Answered 2022-Apr-12 at 06:58

            The BoxZoomTool has no parameter active, therefor the keyword is ignored in your example.

            To set tools active, please check out this documentation.

            In your case the line p.toolbar.active_drag = None does the trick, which deactivates all pan/drag tools, and you have only on off it. This line accepts "auto", None or an instance of pan/drag.

            Python Example

            Source https://stackoverflow.com/questions/71824376

            QUESTION

            Is there a way to save interpolated values to a python dataframe?
            Asked 2022-Mar-25 at 08:47

            I am taking data with latitude, longitude, and a z value and interpolating it using a cubic method. The values seem to be saved in a numpy array. Is there a way to save the interpolated results to a pandas dataframe? I'm trying to save it with a longitude, latitude, and z value column for the interpolated result.

            The input file can be found here and is called nutrition.csv. Here is what I have done so far:

            ...

            ANSWER

            Answered 2022-Mar-25 at 08:47

            You can construct a dataframe yourself from the data you obtained

            Source https://stackoverflow.com/questions/71576909

            QUESTION

            Poetry | AttributeError 'Link' object has no attribute 'name'
            Asked 2022-Mar-23 at 10:22

            I want to install packages from poetry.lock file; using poetry install.

            However, the majority of packages throw the exact same error, indicating a shared fundamental problem.

            What is causing this? What is the standard fix?

            Specification:

            • Windows 10,
            • Visual Studio Code,
            • Python 3.8.10 & Poetry 1.1.11,
            • Ubuntu Bash.

            Terminal:

            • rm poetry.lock
            • poetry update
            • poetry install
            ...

            ANSWER

            Answered 2022-Mar-23 at 10:22

            This looks to be an active issue relating to poetry. See here - Issue #4085. Some suggest a workaround by downgrading poetry-core down to 1.0.4.

            There is an active PR to fix the issue.

            Source https://stackoverflow.com/questions/69836936

            QUESTION

            Convert scipy interpolation map to .tiff file and save to directory
            Asked 2022-Mar-16 at 20:18

            I have generated an interpolation map using the scipy.interpolate module. I am needing some help saving the map as a .tiff file and saving it to my directory. However, I'm not sure if I need to convert it to a numpy array or not, as it needs to have the latitude, longitude, and the interpolated data in each cell. Any help would be much appreciated!

            Here is the data. The nutrition.csv file can be found here.

            ...

            ANSWER

            Answered 2022-Mar-16 at 20:18

            So this is the follow up of your question that I answered earlier. To save an array to a geotiff you need to determine the geotransform, which means you need to know the coordinates of the upper left corner of your array and the resolution in x and y.

            For your data it might work like this:

            Source https://stackoverflow.com/questions/71499317

            QUESTION

            How to update my Bokeh Legend to reflect Categorical Variable in Pandas Dataframe
            Asked 2022-Feb-28 at 01:48

            I'm trying to make a dropdown menu with Bokeh that highlights the points in clusters I found. I have the dropdown menu working, but now I want to be able to visualize another categorical variable by color: Noun Class with levels of Masc, Fem, and Neuter. The problem is that the legend won't update when I switch which cluster I'm visualizing. Furthermore, if the first cluster I visualize doesn't have all 3 noun classes in it, the code starts treating all the other clusters I try to look at as (incorrectly) having that first cluster's noun class. For example, if Cluster 0 is the default and only has Masc points, all other clusters I look at using the dropdown menu are treated as only having Masc points even if they have Fem or Neuter in the actual DF.

            My main question is this: how can I update the legend such that it's only attending to the respective noun classes of 'Curr'

            Here's some reproducible code:

            ...

            ANSWER

            Answered 2022-Feb-28 at 01:48

            Imma keep it real with y'all... The code works how I want now and I'm not entirely sure what I did. What I think I did was reset the noun classes in the Curr data source and then update the legend label field after selecting a new cluster to visualize and updating the xy coords. If anyone can confirm or correct me for posterity's sake I would appreciate it :)

            Best!

            Source https://stackoverflow.com/questions/71260171

            QUESTION

            How to install local package with conda
            Asked 2022-Feb-05 at 04:16

            I have a local python project called jive that I would like to use in an another project. My current method of using jive in other projects is to activate the conda env for the project, then move to my jive directory and use python setup.py install. This works fine, and when I use conda list, I see everything installed in the env including jive, with a note that jive was installed using pip.

            But what I really want is to do this with full conda. When I want to use jive in another project, I want to just put jive in that projects environment.yml.

            So I did the following:

            1. write a simple meta.yaml so I could use conda-build to build jive locally
            2. build jive with conda build .
            3. I looked at the tarball that was produced and it does indeed contain the jive source as expected
            4. In my other project, add jive to the dependencies in environment.yml, and add 'local' to the list of channels.
            5. create a conda env using that environment.yml.

            When I activate the environment and use conda list, it lists all the dependencies including jive, as desired. But when I open python interpreter, I cannot import jive, it says there is no such package. (If use python setup.py install, I can import it.) How can I fix the build/install so that this works?

            Here is the meta.yaml, which lives in the jive project top level directory:

            ...

            ANSWER

            Answered 2022-Feb-05 at 04:16

            The immediate error is that the build is generating a Python 3.10 version, but when testing Conda doesn't recognize any constraint on the Python version, and creates a Python 3.9 environment.

            I think the main issue is that python >=3.5 is only a valid constraint when doing noarch builds, which this is not. That is, once a package builds with a given Python version, the version must be constrained to exactly that version (up through minor). So, in this case, the package is built with Python 3.10, but it reports in its metadata that it is compatible with all versions of Python 3.5+, which simply isn't true because Conda Python packages install the modules into Python-version-specific site-packages (e.g., lib/python-3.10/site-packages/jive).

            Typically, Python versions are controlled by either the --python argument given to conda-build or a matrix supplied by the conda_build_config.yaml file (see documentation on "Build variants").

            Try adjusting the meta.yaml to something like

            Source https://stackoverflow.com/questions/70705250

            QUESTION

            In holoviews, how to share only the x-axis between a Curve and a Quadmesh?
            Asked 2022-Feb-03 at 21:43

            Thanks to this post, I am able to share only the x-axis between two curves in holoviews:

            ...

            ANSWER

            Answered 2022-Feb-03 at 21:43

            In HoloViews, axes are shared if they are considered to have the same Dimension. Dimensions are considered the same if they have the same name and (optional) label, so simply changing the label is not enough to make it match a Dimension on another plot with a different name. See the user guide for the details, but here you can change the QuadMesh to declare that its x dimension is the same as the one from the Curve.

            Source https://stackoverflow.com/questions/70967436

            QUESTION

            Best fit curve (polynomial) on scatter plot with bokeh
            Asked 2022-Jan-25 at 15:06

            I have created a scatter plot with bokeh. I want to generate a best fit polynomial curve on the data, and superimpose the curve on the cloud of points.

            I have generated a 2nd degree polyline with polyfit:

            ...

            ANSWER

            Answered 2022-Jan-25 at 15:06

            As mentioned in the comments, graph.line() adds a line plot. Now, we just need an evenly spaced x-range over which we plot the fitted function:

            Source https://stackoverflow.com/questions/70848444

            QUESTION

            A algorithm to manipulate lists for a bokeh stacked bar graph
            Asked 2022-Jan-05 at 22:57

            I am receiving API data that I'm trying to work into a Bokeh stacked bar graph. The Bokeh documentation shows that I require this format:

            ...

            ANSWER

            Answered 2022-Jan-05 at 22:57

            Is it alright to use numpy? You must configure the num_layers variable, I have set it to 4 to be the same in the example. Here is my attempt:

            Source https://stackoverflow.com/questions/70600148

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

            Vulnerabilities

            No vulnerabilities reported

            Install bokeh

            The easiest way to install Bokeh is using the Anaconda Python distribution and its included Conda package management system. To install Bokeh and its required dependencies, enter the following command at a Bash or Windows command prompt:.

            Support

            The Bokeh project is grateful for individual contributions sponsorship as well as support by the organizations and companies below:. If your company uses Bokeh and is able to sponsor the project, please contact info@bokeh.org.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install bokeh

          • CLONE
          • HTTPS

            https://github.com/bokeh/bokeh.git

          • CLI

            gh repo clone bokeh/bokeh

          • sshUrl

            git@github.com:bokeh/bokeh.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link