Bokeh multiple plots py If you expect to need to "scale out" then running a "bokeh serve" process is recommended. Nov 16, 2019 · I want to plot multiple plots in bokeh? For example, this code does what I want in very inefficient way. 3 days ago · Bokeh lets you arrange multiple plots into a grid or layout and save them to one HTML file. Master horizontal and vertical arrangements for creating professional data visualizations. In the case of glyphs, the corresponding GlyphRenderer is returned instead. When passing a type, the allowed keyword arguments include anything accepted by the type. Our focus is on the “ visualizing distributions ” chapter as we recreate the multiple distribution histograms and density plots using the Bokeh library. layouts import Jul 28, 2025 · Conclusion Creating plots with multiple glyphs in Bokeh opens up a world of possibilities for data visualization in Python. plotting interface. Bokeh includes several layout options for arranging plots and widgets in an HTML document. py 4) with bokeh-server running you’ll see the number of plots you asked with the generated data plotting. plotting glyph methods. My web app allows users to load in data from a couple different databases and view their selected data on multiple Bokeh plots. The data is loaded in as a pandas data frame. models. This section shows an easy way to do this, using the bokeh. Aug 23, 2023 · This is the fifth installment in a series of blog posts where we reproduce plots from Claus Wilke’s book, Fundamentals of Data Visualization. Use gridplot, column, or row from bokeh. These Jun 7, 2020 · I'm able to generate/show individual plots, but cannot seem to be able to aggregate multiple plots into a single gridplot. Features of Bokeh: Mar 8, 2024 · Problem Formulation: When visualizing data, you may encounter scenarios where multiple plots need to be arranged in a grid format for better comparison and aesthetics. Basic categorical ranges are represented in Bokeh as sequences of strings. You can create various types of visualizations such as bar charts, horizontal plots,time-series, etc. 11. Using this library, we can create javascript-generated visualization without writing any scripts. try: One hovertool for each line in the Jul 23, 2025 · Bokeh is a powerful data visualization library in Python that allows you to create interactive and visually appealing plots. A comprehensive guide with examples and customization options. Customize your plots with proper axis formatting and styling. To learn more about creating and using customized themes, see Creating custom themes in the user guide. 4 I am creating a data visualization web app with Bokeh. Jan 1, 2025 · Learn how to create interactive line plots using Python Bokeh line() method. Yes, now it is possible to have two y axes in Bokeh plots. Consider a dataset containing different types of fruits with varying sizes and colors. For example: Grids and layouts # Bokeh includes several layout options for plots and widgets. In addition, Bokeh layouts support a number of “sizing modes”. The others are empty. It empowers developers to build a wide range of graphics, from simple plots to complex dashboards, without the need to write any JavaScript code. It's possible to run multiple apps from one "bokeh serve" invocation: bokeh serve app1. Feb 24, 2022 · To quickly analyze the data in my charts, I need to see all the values of a multi-line chart at once. . This technique can be a powerful tool when you need to create visualizations rapidly for whatever purpose you … First steps 6: Combining plots # In the previous first steps guides, you created individual plots. It helps us in making beautiful graphs from simple plots to dashboards. plotting import Figure from bokeh. However, as shown below in my plot the legend can really only show a few of these lines before running off the plot. When button is clicked, depending on the textinput. The Bokeh plotting module provides several tools that can be used to enhance the functionality of the plots. This auto-ranging is performed by the DataRange1d models that are the default values for a plot’s x_range and y_range properties. Everything is May 22, 2024 · Bokeh is a data visualization library in Python that provides high-performance interactive charts and plots. I have an interactive webpage where a user can click on multiple “stations”. Internally, all datetime values are floating point values that represent milliseconds-since-epoch (specifically, “epoch Mar 6, 2022 · One think I’ll add/share what I’ve discovered, which is kinda related to this, is that you can at least trigger hover glyphs across multiple plots, at least on the scatter glyph, through CustomJS, the CDS. For a complete example of a Bokeh application embedded in a Jupyter notebook, refer to the Dec 1, 2014 · When you execute it (python run_multiple_plots. sampledata. The chapter also discusses other variations for visualizing multiple distributions at once Sep 27, 2025 · Python Bokeh is a Data Visualization library that provides interactive charts and plots. line () Syntax Linking behavior ¶ It’s often useful to link plots to add connected interactivity between plots. columns should be a separate line. These HTML files contain plot data and are fully portable while still providing interactive tools (pan, zoom, etc. 6. These tools can be configured to suit your specific needs. plotting and bokeh. The page appears to load up ok (both plots look correct). Bokeh output can be obtained in various mediums like notebook, html and server. p = Apr 18, 2021 · Generating a plot with bokeh involves quite a bit of boilerplate code which we likely want to re-use between plots: Instantiating the figure object with a datetime axis type Mar 3, 2018 · I am trying to customize the Hover Tool to display Column name, Index , and value for each line graph, however I can’t figure out how to access the column name and index value to display for each line graph. plotting interface come with a default set of tools and visual styles. subplots(nrows=2, sharex=True) I would like to do something similar in Bokeh, where I zoom one, the other will follow, etc. Read on! Jan 13, 2017 · There's alot of different possible ways to slice this, it's hard to give concrete guidance without getting into specifics. There are various methods to include Bokeh apps and widgets into web apps and pages. In Bokeh they can be created using hbar() glyphs. That is, user clicks something, the python back-end grabs data, and then a plot is rendered somewhere. Bokeh can be used to plot multiple lines on a graph. This graph uses stocks dataset. This means that Bokeh provides a powerful platform to generate interactive plots using HTML5 canvas and WebGL, and is ideally suited towards interactive exploration of data. For information about changing or specifying tools, see Configuring plot tools. figure. Widgets can be added directly to the document root or be nested inside a layout. The code below shows script parts significant in setting up the second y axis to the usual figure plotting script. First, here’s how standalone documents differ from applications: Standalone docume Jun 7, 2017 · Hi, I’m building a dashboard that contains multiple plots inside the same document. py app2. This guide will show you how to effectively use this functionality. panels import Panel, Tabs from bokeh. The ColumnDataSource is the essence of Bokeh, making it possible to share data over multiple plots and widgets. However, each plot Jan 2, 2025 · Learn how to use Bokeh's gridplot() function to arrange multiple plots in a grid layout. models, and this lesson will focus mainly on the bokeh. The plots are created as-needed, since the user can generate as many of these plots as they need. 2 Documentation). For a concrete example I can create two side-by-side plots with: fig, (ax1, ax2) = plt. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh layouts also allow for a number of sizing options, or modes. See Running a Bokeh server for general information about Bokeh server applications. We are going to use the row () method of the bokeh. Aug 3, 2023 · This is the fourth installment in a series of blog posts where we reproduce plots from Claus Wilke’s book, Fundamentals of Data Visualization. I am having trouble with this task. I need them to separate from each other. The plots are highly interactive, so I wanted to use Bokeh servers to allow for maximum interactivity and performance. Linked panning ¶ It’s often desired to link pan or zooming actions across many plots. It can sometimes be helpful to understand how Bokeh represents these values. Jan 2, 2025 · Learn how to add and customize legends in Bokeh plots - from basic legend placement to advanced styling options for creating clear, professional data visualizations. Explore the different types of graphs that can be plotted and how a layout can be created in bokeh. Master x and y coordinates plotting with customization options and practical examples. For example: Creating your own ColumnDataSource allows you to share data between multiple plots and widgets. Jul 10, 2020 · Bokeh is a Python interactive data visualization. What is a widget? Widgets are interactive controls that we can use with bokeh applications to make the interactive interface to Jul 23, 2025 · Bokeh is an interactive visualization library that helps us to create a visual representation of data set and interact with it. Jul 23, 2025 · Bokeh includes several layout options for arranging plots and widgets. They help us to identify different types of glyphs that are used in a plot. They make it possible to arrange multiple components to create interactive dashboards or data applications. Jan 2, 2025 · Learn how to configure axis properties and labels in Python Bokeh using xaxis() and yaxis() methods. It seems I need a multi line graph, but I don’t understand how to provide the data using the syntax demonstrated here. For example: Mar 8, 2024 · Problem Formulation: When dealing with multiple datasets or time-series data, it is often necessary to visualize these datasets on a single plot for comparison. Bokeh’s themes can be either in a YAML or JSON format. Is there a way to do this in Bokeh? I have data that looks like this and will have more columns in the future. Mar 29, 2020 · But it isn’t being split up into different lines based off legend_label in the way circle plots seem to automatically work out. Create informative and dynamic data visualizations with custom tooltips. Details Sampledata, bokeh. May 26, 2014 · Is there a simple way to embed multiple plots into an HTML template? My template uses Bootstrap. Each plot has a separate ColumnSource object attached to it. This article will guide you through the process of setting up interactive line visibility in Bokeh plots, ensuring that your This example shows how to plot multiple lines with the multi_line call. I have tried to place the legend Bokeh is an interactive visualization library in Python that provides visual artefacts for modern web browsers. Includes practical examples and best practices. Bokeh's ability to handle multiple plots in a cohesive manner enhances the presentation Dec 1, 2017 · I have a need to have 2 bokeh figures on a page. The x-axis should be the df. Mar 30, 2022 · In this tutorial, you will learn how to plot data with NumPy arrays, dataframes in Pandas, and ColumnDataSource using Bokeh. indices property, and assigning that CustomJS to the hovertool. When I click on one of the selectors the associated plot is updated correctly, and the other plot disappears (I think it actually squishes down into a column but hard to be Jan 2, 2025 · Learn how to enhance your Bokeh plots with interactive hover tooltips using HoverTool(). Jan 1, 2025 · Learn how to use Bokeh output_file() function to save interactive plots as HTML files. We are going to cover these topics: - How to create and edit a figure - How to process multiple glyphs (graphs) over a figure - How to add dynamic explanations over glyphs - How to create Bar and Line plot Before you begin At the time of this Jan 2, 2025 · Learn how to use Python Bokeh ColumnDataSource to efficiently manage and share data between multiple plots. HoverTool, bokeh. First, a reminder of the distinction between standalone documents and apps: Standalone Documents These are Bokeh documents that are not backed by a Bokeh server. Note that the layout options here are all HTML layouts; future Bokeh versions should offer the ability to lay out multiple sub-plots on a single canvas. Is there an existing issue for this? I have searched the ex Jul 3, 2020 · Bokeh is a Python interactive data visualization. Jul 16, 2025 · In this post, we will look at how to make multiple plots at once using Boke in Python. It’s also a challenge with the hover tool. By combining the ease of generating interactive, high-dimensional visualizations with the interactive widgets and fast rendering provided by Bokeh, HoloViews becomes even more powerful. Method 1: Using VBar Glyphs for Side-by-Side Bar Plots First steps 6: Combining plots ¶ In the previous first steps guides, you created individual plots. Mar 7, 2023 · I am considering moving from the Plotly ecosystem to Bokeh/Holoviews but one requirement is that it should be possible to plot several time series in “stacked” view, where all the time series share the x-axis, and a range slider, but have their own y-axis. The constructed item is returned. Widgets can also be used without the Bokeh Jan 27, 2020 · Hi, I want to deploy multiple Bokeh scatter plots using a Flask app. Bokeh can be used to plot a line graph. However, there is also now guidance for embedding a Bokeh server Mar 8, 2024 · Bokeh allows the linkage of multiple plots, which is especially useful when visualizing multi-faceted datasets. Creating rows, columns, and grids ¶ The easiest way to combine individual plots is to assign them to rows or columns. These Dec 8, 2021 · Multiple glyphs with bokeh legend Now, lets us move to the next topic of this article and that is bokeh legend. This function can create an HTML document from its own generic template or from a template you provide. This is a valuable tool when you are trying to develop multiple visualizations for comparison purposes. They can drive new computations, update plots, and connect to other programmatic functionality. It renders its plots using HTML and JavaScript. Plotting a line graph can be done using the line() method of the plotting module. Layout functions let you build a grid of plots and widgets. fign)) In which fig1, fig2, etc are objects of the class Sep 20, 2018 · I have multiple figures in a column in a bokeh plot. Apr 25, 2017 · I have created two Bokeh plots backed by two different datasets which reside in the same html page. Plotting with basic glyphs ¶ Creating figures ¶ Bokeh plots you create with the bokeh. In this lesson, we're going to have a look at the fundamental tools that are necessary to build interactive plots in Python using Bokeh. But a few comments. subplots When visualizing data, comparing multiple datasets or perspectives side-by-side is often critical for insight. Bokeh exposes two interface levels to users: bokeh. This is what I would li This principle applies to all bokeh. Mar 8, 2024 · Problem Formulation: Data visualization often requires representing multiple datasets or categories with varied geometries. You can add as many glyphs to a Bokeh plot as you want. value, two plots need to be created. Bokeh supports the creation of multiple plots within a single figure, allowing users to display and compare various visualizations side by side. I see that the Embedding section of the user guide has a “Coming Soon!,” but I was hoping there might already be a way to accomplish my task. I’m trying to replace the plotting element with bokehJS and it’s mostly been successful but I’m running into a glitch and confused about how to continue Jun 26, 2017 · I've a simple bokeh layout with a textinput and button. The layout functions let you build a grid of plots and widgets. Jan 16, 2025 · Basically I’m trying to link the crosshair of multiple plots. This works in principle however the performance is utterly terrible once you go to >50k data points. Hope that helps, Marcus. layouts module, it is used in show () method of bokeh. If I can place the glyphs into multiple rows or columns my problem could be fixed. layouts to combine plots, then save the layout. A more sophisticated example of a linked scatterplot matrix can be found in the SPLOM section of the Statistical plots chapter. In this tutorial, we are going to create a basic bokeh graph and embed it into Sep 1, 2019 · Bokeh is a powerful Python library designed for creating interactive and visually appealing visualizations for modern web browsers. We Jan 1, 2025 · Learn how to create interactive scatter plots using Python Bokeh's scatter() method. I want to apply the same tool transformation on all the images at the same time ie, if I zoom on one figure, all the plots should zoom, if I pan 3 days ago · Bokeh Subplots Guide: How to Create Multiple Plots Like Matplotlib's plt. stocks,, Bokeh AP Feb 11, 2019 · Hi guys, if I try to share “save” tool across multiple plots, how could I could do? thanks my code like this: TOOLS = [SaveTool(), HoverTool()] rig_plot1 = figure A population pyramid plot is a divergent horizontal bar plot that can be used to compare distributions between two groups. This chapter explores a variety of ways to embed standalone Bokeh documents and Bokeh applications into web pages. When used with the Bokeh server, widgets can run arbitrary Python code, enabling complex applications. Our focus is on the “ visualizing many distributions at once ” chapter as we recreate the boxplots and ridgeline plots using the Bokeh library. The data for each plot is retrieved with different SQL queries executed on a remote database server. Some additional arguments are allowed depending on what item or type is. They may have many tools and interactions (e. This is helping me build linked plots that have a “many to one” relationship. Cycling through a color palette using a generator if you decide to throw lots of Jul 20, 2015 · I would like to give a pandas dataframe to Bokeh to plot a line chart with multiple lines. A Flask app will receive a . Both of these plots can be filtered via a MultiSelect widget. Dec 17, 2014 · bokeh overlay multiple plot objects in a GridPlot Asked 10 years, 8 months ago Modified 10 years, 7 months ago Viewed 9k times Timeseries plots # Units # Bokeh can automatically handle many kinds of datetime types, for instance Numpy datetime arrays and Pandas datetime series, as well as Python built-in datetime types. Details Bokeh APIs, figure. Houston Chicago New York 2008 3561656 2712054 84846872 2009 3879058 2757302 Subscribed 0 135 views 8 months ago Bokeh Create Multiple Plots in Python more content at https://educationalresearchtechniquesmore Jul 23, 2025 · Bokeh is a Python data visualization library for creating interactive charts & plots. Maybe someone can help? 1. Bokeh provides two visualization interfaces to users: bokeh. TapTool,, More Feb 6, 2019 · Plotting multiple lines on same plot in bokeh and ensuring they all have their own hover tools and legend entries. Bokeh server applications ¶ You can also embed full Bokeh server applications connecting plot events and Bokeh’s built-in widgets directly to Python callback code. Glyphs Additional HTML files ¶ Bokeh can generate complete HTML pages for Bokeh documents using the file_html() function. If you use a single ColumnDataSource together with multiple renderers, those renderers also share information about data you select with a select tool from Bokeh’s toolbar (see Linked selection). Syntax: show (row (fig1,fig2,fig3. The segment() method accepts the starting points x0 and y0 and end points x1 and y1. This can be used to depict a comparison between two datasets. There’s a simple example below: two tabs each containing a plot and two widgets. Along with that, we can also change different properties of the box that can differentiate different glyphs. Is it possible to set this up in some kind of for loop? p-himik March 29, 2020, 7:39am 2. They Apr 16, 2023 · Describe the bug Using gradio Blocks API, when multiple plots are created using Bokeh, only one plot is visualized. Using the Bokeh library in Python, one can create interactive and visually appealing plots. Jan 2, 2025 · Learn how to organize multiple Bokeh plots using row() and column() layouts. 3. 7 and Bokeh version 3. Bokeh’s widgets offer a range of interactive features that you can use to drive new computations, update plots, and connect to other Bokeh visualization library, documentation site. The dashboard also has some controls (e. Legend plays a very important role in bokeh plots. This only possible with a custom span (see docs: tools — Bokeh 3. How wo Plotting with Multiple Layers In this example we are going to give you a brief tutorial of how to use multiple graphics on one figure by using bokeh. Bokeh’s flexibility and ease of use make it an excellent choice for data scientists and developers who want to Embedding Plots and Apps ¶ Bokeh provides a variety of ways to embed plots and data into HTML documents. From simple multi-glyph plots to interactive dashboards, Bokeh provides the tools you need to create compelling, informative visualizations. widgets import Div, CheckboxGroup, Slider from bokeh. Jul 23, 2025 · Prerequisites: Introduction to Bokeh in Python In this article, we will discuss how to plot multiple plots using Bokeh in Python. Aug 20, 2018 · In matplotlib you can share the x-axis between plots like so: plt. Bokeh renders its plots using HTML and JavaScript that uses modern web browsers for presenting elegant, concise construction of novel graphics with high-level interactivity. For example, to render circle scatter markers on a plot, use the scatter() method of figure() with the default Combining multiple graphs # With Bokeh’s bokeh. Subplots—arrangements of multiple plots in a grid, row, or column—enable this by organizing visualizations into a single cohesive view. What is Bokeh? plot!(plot, item; ) plot!(plot, type; ) Adds a new item to the plot, or an item of the given type. index and each df. But the data is large and I need to view it interactively. Linking plots can enable coordinated zooming or panning, allowing for simultaneous exploration of multiple scatter plots. You will create your first plots, learn about different data formats Bokeh understands, and make visual customizations for selections and mouse hovering. According to the docs a span will created in both cases thus I’m wondering why the performance suffers for a custom span? import numpy as np Sep 3, 2024 · Learn what exactly is Python Bokeh. You can have as many rows, columns, or grids of plots in one layout as you like. In this section, you will combine several plots into different kinds of layouts. Bokeh comes with a number of interactive tools that you can use to report information, to change plot parameters such as zoom level or range extents, or to add, edit, or delete glyphs. Here is an example: Ranges and axes # Axis Ranges # Default auto-ranging # By default, Bokeh attempts to automatically set the data bounds of plots to fit snugly around all the data available. Currently I can have only one figure (with multiple plots using grid/rows/columns) but not with multiple fi Apr 1, 2021 · I am trying to draw two groups of scatterplots on one figure as in matplotlib two lines with scatter code. Jan 2, 2025 · The Bokeh library in Python offers powerful visualization capabilities, and one essential feature is the ability to save plots as static files using the save () function. This article covers methods to create grid plots by arranging Bokeh figures in a grid layout, aiming for an output where multiple plots are organized side by Jul 23, 2025 · Bokeh is a powerful Python library for creating interactive and visually appealing data visualizations. Apr 29, 2014 · Hi, I’m coming from the matplotlib world where you can specify multiple plots (axes) on the same figure using the subplots/subplot functionality. Master customizing markers, colors, and sizes for effective data visualization. Select widgets) that allow the user to update those plots with different parameters. All that is needed to enable this feature is to share range objects between figure() calls. Clicking on each station opens a new div and the user can use checkboxes to display some data relevant to that station. Create standalone web visualizations with Python Bokeh library. ) for your plot. io library as an argument to depict multiple plots in using bokeh. This is all Bokeh needs to understand that selections acted on Jan 1, 2025 · Learn how to use Python Bokeh's figure() function to create interactive plots and visualizations. I want the same thing but maybe with a loop?, or any bokeh function I am not aware of. You can nest as many rows, columns, or grids of plots together as you’d like. from CustomJS callbacks) but are self-contained HTML, JavaScript, and CSS. subplots(1, 2) Is the any way to do the same in bokeh? If I were running a webserver I assume I could do this via html myself? I’m actually wanting to do this Bar charts # In addition to plotting numerical data on continuous ranges, you can also use Bokeh to plot categorical data on categorical ranges. widgets. These Now you have learned how to link panning between multiple plots with the bokeh. multi_line, bokeh. In Python, the challenge is to display multiple shapes on a single Bokeh plot for clear and interactive data exploration. Tools can be Mar 8, 2024 · In Python, the Bokeh library can be used to create interactive and visually appealing multi-bar plots. Creating layouts # Bokeh includes several layout options for plots and widgets. These let you arrange multiple components to create interactive dashboards and data applications. What am I doing wrong, thanks? g = [] for item in basket: # sourcing Scatter markers: Bokeh includes a large variety of markers for creating scatter plots. from bokeh. This article provides solutions to showcase comparative data using multiple bar plots with Bokeh, enabling a clear understanding of differences and trends across datasets. Creating rows, columns, and grids # The easiest way to combine individual plots is to assign them to rows or columns. Jul 17, 2017 · You can use Rows or Columns to group things together in tabs. One of its standout features is the ability to interactively display and hide lines in a plot, which can be particularly useful when dealing with complex datasets. For example, a list of the four seasons: Widgets and DOM elements # Widgets are interactive control and display elements that can be added to Bokeh documents to provide a front end user interface to a visualization. plotting interface, you can add more glyphs to your plot: Temp. It is possible to embed bokeh plots in Django and flask apps. plotting. Windowed auto-ranging # Sometimes, you may want auto-ranging on one axis to be be based Nov 14, 2016 · I have the need to create plots on-demand in my app. Here are the questions: How do I correctly display two or more groups of data on the same fig? How do I set specific colors for data Mar 15, 2020 · Basic plotting with Bokeh This chapter provides an introduction to basic plotting with Bokeh. Unfortunately, I can’t get this to work with JavaScript. Each plot has its own independent ColumnDataSource which is a copy of this data frame. For information on how to customize the visual style of plots, see Styling visual attributes. Plot 1 is a networkx Digraph and Plot 2 is a timese This principle applies to all bokeh. Jun 22, 2017 · Hi, I have a plot that could have 10’s of lines and having the ability to allow the user to click on the legend and hide some of these lines is a great feature. This example shows a graph with multiple legend. Here is an image that illustrates what this looks like: Is it possible to do this? I would need to be able to have this plot interact Jul 1, 2024 · I am working with Python version 3. My first idea (and preferred solution) was to display the values of the current cursor position (vline) next to the labels. inspected. Linked brushing # Linked brushing in Bokeh is expressed by sharing data sources between glyph renderers. Specialized glyphs # Segments # To draw multiple individual line segments use the segment() and ray() glyph methods. In this article, we will learn about the Configuring Plot Tools in Bokeh in Python with some examples Adding widgets ¶ Widgets are interactive controls that can be added to Bokeh applications to provide a front end user interface to a visualization. models : A low level interface that provides high flexibility to application You can also create your own themes to use across multiple plots. js to hide and show plots so that I don’t overwhelm the user with too many plots at once. Bokeh is a Python-based visualization library, capable of building plots from simple charts to interactive dashboards. Create organized and professional data visualizations with Python Bokeh. g. This lets you build quite complex layouts. In dealing with many distributions, it is helpful to think in terms of response variable and one or more Jan 30, 2025 · Hello, I’m somewhat new to Bokeh. Laying Out Multiple Plots ¶ Bokeh includes several layout options for arranging plots and widgets in an HTML document. I need to dynamically view some data properties using hover. Aug 15, 2025 · The video below shows you how to make multiple plots with Bokeh. csv file and after applying my ML functions, it produces two tsne scatter plots. With Python’s Bokeh library, creating grid plots is straightforward. By using the gridplot() function or organizing multiple plots within a layout, users can create comprehensive dashboards or reports with multiple visualizations. qbfof hklwkb kbdkd mpvgqtiq yvxwgnb ckyyw pckij sdkt utjmau guhzmi jiy ibyu abmuui wssmk umzr