Altair scatter plot opacity titlePaddingdict, float, ExprRef The padding, in pixels, between title and legend. Altair for Visualizations If you’ve been prototyping visualizations with another library, consider switching to Altair to build your visualizations. This setting can be applied to elements like lines, bars, scatter points and filled areas either during plot creation or afterward by modifying the plot object. This Scatter Plot with Shaded Area # This example shows a scatter plot with shaded area, constructed using area mark and rect mark. In the following example, we attach the selection parameter to the upper chart, and then filter data in the lower chart based on the selection in the upper chart. For example, if you have a database of sales information broken down by product, you might associate the total amount of sales for a given with the Size variable in a Treemap. Each scatter point is represented by: X Position Y Position Size Color (numeric or categorical) A line of best fit can also be added to highlight outliers. Each row in the data table is represented by a marker whose position depends on its values in the columns set on the X and Y axes. Sep 9, 2018 · I am trying to generate 2 plots in Altair that share the same selection. I generated this plot based on a modification of the code suggested in this post. In the Results Explorer browser, click Scatter Plot. Using the cars data, create a scatter-plot where the size of the points becomes larger as you hover over them. mark_line() I was not aware altair allowed to you to basically compile multiple figures on top of one another by just using + Example Gallery This gallery contains a selection of examples of the plots Altair can create. Beside classical file formats like PDF and SVG, Altair allows to output plots as HTML, such that they become interactively explorable. Bubble Plot is a very useful visualization for bivariate analysis of data with respect to a third variable. If the two variables are perfectly correlated, then all the plots will fall on the diagonal (regression line). In this example, we use population as third variable and the bubble plot will show countries with larger population with bigger bubbles. interactive() (and plot. For configuration, we suggest reading Chart Configuration. mark_line(tooltip=True). Polars does not implement plotting logic itself, but instead defers to Altair: df. and is only provided for convenience, and to signal that Altair is known to work well with Polars. g. Select the desired X-axis value and the desired Y-axis value (s). Visualization: Scatter Plot with Rolling Mean in Altair This shows a scatter chart of miles per gallon as a function of year, with lines inidicating the mean values for each country within the given year. In my experience, I think there are three key reasons a switch could be beneficial: Altair is probably faster (unless we’re plotting a lot of data) It operates directly on pandas DataFrames Interactive visualizations are easy to create On the (c) 2013-2024 Altair Engineering Inc. I use exactly the same code that is shared in altair (here: Selection Detail Example — Altair 4. You can explore how the counts change in the bar chart depending on the size and position of the selection in the scatter plot. This In Altair, a scatter plot is a form of visualization depicting individual data points as markers on a 2D plane, where one variable is associated with the x-axis and another variable with the y-axis. On the Feb 15, 2022 · I use it to generate the following plot in Altair. They also allow for adding flexibility to a visualization. Using the cars data, create a two-panel histogram (say, miles per gallon counts in one panel, horsepower counts in the other) where you can drag your mouse to select data in the left panel to filter the data in the second panel. Enter the Min Opacity (default 0%) and Max Opacity (default 100%) values. Well maybe it would also be worth a thought about the the kind of used symbol itself. Coloring the scatter plot will help us to recognize which data point corresponds to which category of the third variable. Nov 12, 2020 · Upon further diving into the altair docs, I found a page related to fitting linear regressions lines and the code that helped me was chart + chart. They provide a clearer understanding of physical shapes in a 3D space. mark_point(tooltip=True). Note: Checking Show Violated will color plot points red where corresponding runs violate The Results Explorer browser opens. 2. The last column ("description") will fill in the associated tooltip. See also: bin documentation. Combining scatter plots with regression plots is straightforward, but incorporating polynomial analysis presents challenges. We make the points larger so that it is easier to hover over them. They are summarized in the following tables: 1. Intellectual Property Rights Notice | Technical Support Dec 8, 2022 · 更新のお知らせ 好評につきまして Altair のハンズオン資料を大幅アップデートしました。ぜひこちらもご活用ください。 概要 本稿ではグラフ可視化ライブラリ Altair を用いて、interactive な図を作成する方法を紹介する。前稿では Kaggle の Step 2: Modify the Scatter Plot Next, let's update your scatter plot to utilize this selection. I would like to plot scatter and bar charts of population (y) vs Age (x). Regarding more sophisticated regressions: more options will be added in Altair v4 (based on enhancements to Vega-Lite 4. Plotting with Altair The plotting library Altair offers a high-level, declarative way to visualize data. 500 is the width and height of the background image that I guessed. Selections: Building Blocks of Interactions Selections in Altair come in a few flavors, and they can be bound to particular charts or sub-charts in your visualization, then referenced in other parts of the visualization. 3, running on Linux Mint 17). For this, we use Chart () function in Altair to load the data and then use the mark_point () function to make a scatter plot. For example, you can: Change the width/height/title with . scatter is provided as an alias) df. However, due to the fact that each of my Y labels has a different number of associated data points, the only way I could make the plot appear as desired was by using np. typeLiteral [‘symbol’, ‘gradient’] The type of Using the cars data, create a scatter-plot where the size of the points becomes larger as you hover over them. Jan 23, 2023 · Data Viz with Altair: A Walkthrough In this article, we are going to look at a relatively new Data Visualization library for Python and how to plot various plots INTRODUCTION Data Visualization is 1. Intellectual Property Rights Notice | Technical Support May 23, 2018 · Is it possible to change the line opacity but not the marker opacity? I found that I can set the opacity of the entire line including markers (opacity = . Create a scatter plot with the x-axis representing the date and the y-axis representing the height ("price") of each annotation. Encodings The key to creating meaningful visualizations is to map properties of the data to visual properties in order to effectively communicate information. A fully opaque line is solid, while a more transparent line allows other elements behind it to be seen. Note: Checking Show Violated will color plot points red where corresponding runs violate the given constraint. Jan 23, 2020 · Scatter Plot with Altair in Python? Bubble Plot with Altair in Python We can easily convert the simple scatter plot into a bubble plot in Altair by specifying the third variable with size argument inside encode () function . May 23, 2022 · I have scaled the x, y channel values for the scatter chart to be in the range of [0, 500]. Data visualization is important because: It helps to Scatter Plot with LOESS Lines This example shows how to add a trend line to a scatter plot using the LOESS transform (LOcally Estimated Scatterplot Smoothing). Altair ® Panopticon ™ Select Variables Variables are the columns of data used by visualizations. When I run this The Results Explorer browser opens. line(**kwargs) is shorthand for alt. They can either be simple variables or more The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in the Combination Graph visualizations Oct 11, 2021 · To convert a scatter plot in Seaborn to a bubble plot, simply pass a value for ‘sizes’ which denotes the smallest and biggest size of bubbles in the chart. Could […] Module 7: 1D data Let's first import basic packages and then load a dataset from vega_datasets package. I am using the Altair built-in dataset population Jul 31, 2021 · Output: Now let us make the scatter plot using Altair library. The Scatter Plot 3D is made up of a series of points where each point has X Position, Y Position and Z Position. github. For Altair, we simply pass (filled=True) for generating the bubble plot. e. My data in the scatter are fairly dense so I want the unselected points to go away (more or less). Timeseries Scatter Plot Settings (Legacy) Time Series Scatter Plots display time-based transactions, like the Needle graphs. Hence, we get the simple scatter plot of two variable as shown below: A wide scatter of the plots denotes poor correlation between the two variables. We are free to further adjust the opacity, either by passing a default value to the mark_* method, or using a dedicated encoding channel. Altair provides a number of basic mark properties: Scatter plot with point paths on hover with search box # This example combines cross-sectional analysis (comparing countries at a single point in time) with longitudinal analysis (tracking changes in individual countries over time), using an interactive visualization technique inspired by [this Vega example] (https://vega. encode() method. To adjust the axis ticks based on the bin step, you can also set the axis’s tickMinStep property. . Each marker denotes a distinct data point, and its position reflects the values of the respective variables. If you need more than what is available, I'd suggest pre-computing the regressions using pandas or another tool before passing the data to altair. The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in theCombination Graphvisualizations. Some may seem fairly complicated at first glance, but they are built by combining a simple set of declarative building blocks. axis(format='i'), it is preferred to specify the appropriate data type to Altair. If you don't have vega_datasets or altair installed yet, use pip or conda to install them. Altair provides a number of mark properties: Opacity Variable Configuration The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in the Combination Graph visualizations. Figure 4. Altair supports the following primitive mark types: Scatter charts are used to plot data points on a horizontal and a vertical axis to show how much one variable is affected by another. Default value: 5. You could also associate the difference between this year’s sales and last year’s sales to the Color variable for the same Treemap. resize to repeat values. For example, here we will visualize the cars dataset using four of the available Opacity Variable Configuration The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Radar, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in the Combination Graph visualizations. Nov 12, 2020 · We can color the data points in the scatter plot using this third variable. Jan 10, 2022 · Hello, I am trying to plot a combination of scatter plot and time series, where each time series curve belongs to its corresponding point in the scatter plot. Zoom in Hover over to view plot options such as zoom in, zoom out, auto scale to original plot view, reset axes, export it as a PDF document, and search. This interaction technique of selecting elements in one chart and seeing linked highlights in one or more other charts is known as brushing & linking. plot. Dec 17, 2019 · In an Altair condition I want to specify the opacity for the the secondary conditional color. Jul 23, 2025 · Prerequisite: Introduction to Altair in Python Altair is a simple and easy to use statistical visualization library for python. They are summarized in the following tables: Marks We saw in Encodings that the encode() method is used to map columns to visual attributes of the plot. It is a technique used to visualize data in the form of graphs, charts etc. This package allows us to create scatter plots and other visualizations. For line and area marks, mapping an unaggregated data field to any non-position channel will group the lines and stacked areas by that field. Interactive Charts # One of the unique features of Altair, inherited from Vega-Lite, is a declarative grammar of not just visualization, but also interaction. Example: May 21, 2021 · 1 This was just added to VegaLite and won't be in Altair until the next release of Vega-Lite and Altair is upgraded to support the latest version of Vega-Lite. Intellectual Property Rights Notice | Technical Support By default, Altair uses a bit of transparency to help combat over-plotting. This is the simplest way to generate a plot using Altair. That said, once you have a useful visualization, you will often want to adjust certain aspects of it. By adjusting the alpha parameter, you can control the opacity of plot elements such as lines, bars, shaded areas, and scatter markers. Specifying the correct type for your data is important, as it affects the way Altair represents your encoding in the resulting plot. I want to have an interactive plot and I use altair for that purpose. May 30, 2021 · Therefore, I would like to focus on the basic grammar of Altair using a scatter plot and then share with you some examples of various graphs. There are three core concepts of this grammar: Parameters are the basic building blocks in the grammar of interaction. layer(tracksmap, chart) geovizvega resulting the following: The two charts do not Sep 17, 2024 · I am attempting to create a facet figure using Altair to display Linear and Polynomial regression plots. It includes examples of simple bar charts, heatmaps, histograms, line charts, area charts, and more. Jul 19, 2025 · Scatter plot using Altair Explanation: Chart is initialized with alt. Jun 23, 2021 · This document provides examples of various chart types that can be created using the Altair visualization library in Python. 4. Change the opacity of the points in your scatter Customizing Visualizations ¶ Altair’s goal is to automatically choose useful plot settings and configurations so that the user is free to think about the data rather than the mechanics of plotting. Change the x-axis label rotation with . Below, we demonstrate how to use the alpha parameter effectively for different types of plots. On the Polars does not implement plotting logic itself, but instead defers to Altair: df. Jul 23, 2025 · Changing transparency in Matplotlib plots enhances visual clarity, especially when data overlaps. Example: Linked-Brush Scatter-Plot As a motivation, let’s create a simple chart and then add some selections to it. Altair’s goal is to automatically choose useful plot settings and configurations so that the user is free to think about the data rather than the mechanics of plotting. Chart (iris) and . Select Variables Variables are the columns of data used by visualizations. The long-form, alt. 0, matplotlib 1. While it is also possible to change the axis format with . Jul 29, 2025 · Conclusion: Empowering Your Data Narrative Mastering the art of creating scatter plots with regression lines in Altair opens up a world of possibilities for data analysis and communication. In addition, items can be sized by numeric data values, and colored by numeric or text data values. how transparent a plot element is: Simple scatter example with size color and filled option: clf; x = rand(1, 100); y = rand(1, 100); s = scatter (x, y, 10, 'gv', 'filled'); We use brush in a conditional encoding to adjust the scatter plot opacity. 0 documentation) to create such interactive plot. Intellectual Property Rights Notice | Technical Support Altair ® Panopticon ™ Select Variables Variables are the columns of data used by visualizations. X('name', type='quantitative'), is useful when doing more fine-tuned adjustments to the encoding, such as binning, axis and scale properties, or more. The goal is to demonstrate the capabilities of Altair through these Creating a Scatter Plot A Scatter plot displays the distribution of two variables that are well correlated with each other. The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in the Combination Graph visualizations. How about a way of displaying 3D scatter plots with annotation, size, shape, color, transparency (like in Clementine or R) Thanks Sebastian Jul 23, 2025 · Getting Started With Altair Altair is designed with a declarative syntax, which allows you to define what you want to visualize without specifying the underlying computational details. Before that, let us talk about Altair and get to know why it is so powerful. mark_point () to create a scatter plot. In the Results Explorer browser, click the Scatter Plot icon . Scatter Plot Drag a rectangle on the plot area to zoom in and focus on a suitable midpoint for a more concentrated view of materials. We then use the aesthetics x and y-axis to encode () function. One of its default behaviors is generating legends automatically when you map data to visual properties like color, shape, size, or opacity. Scatter Matrix # An example of using a RepeatChart to construct a multi-panel scatter plot with linked panning and zooming. 1 Simple Scatter Chart ¶ We are plotting below the scatter plot showing the relation between alcohol and malic_acid properties of the wine dataset. Jun 21, 2021 · I have a scatter plot in altair where I am representing a column using both shape and color. While legends are often essential for interpreting a plot, there are scenarios where they become The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in theCombination Graphvisualizations. This example shows how to make a dot-dash plot presented in Edward Tufte’s book Visual Display of Quantitative Information on page 133. Default value: false. bar(**kwargs) is shorthand for alt. Global Interactive Scatter Plot and Linked Layered Histogram Altair example This example shows how to link a scatter plot and a histogram together such that clicking on a point in the scatter plot will isolate the distribution corresponding to that point, and vice versa. Marks ¶ We saw in that the encode() method is used to map columns to visual attributes of the plot. Optional: Check Scatter Plot Settings Scatter Plots are used to identify trends, clustering and outliers across a number of numeric variables, especially when investigating large data volumes. polars, then it registers a hvplot method which you can use to create interactive plots using hvPlot. io/vega Customizing Visualizations # Altair’s goal is to automatically choose useful plot settings and configurations so that the user is free to think about the data rather than the mechanics of plotting. Opacity controls how much the background or overlapping elements are visible through the line. Jul 23, 2025 · Changing Line Opacity in Matplotlib means adjusting the transparency level of a line in a plot. encode(**kwargs). Change the opacity of the points in your scatter plot with . Common uses include displaying transaction volume across time relative to the price at which the volume was executed and displaying Here is the list of snapshot visualizations and their available variables. marker={" The Results Explorer browser opens. Here is the resulted scatter plot: then I combined the two chart with layer mechanism: geovizvega = alt. In this article, we will learn how to create interactive scatter plots with Altair. The only modification here would be to update the opacity encoding so that it reflects the presence The third column ("marker") determines what icon Altair will place. Like the scatter plot, it displays individual data points (or transactions), with a given numeric Y value and a given timestamp X value. It's easy enough to set alpha transparency for each point individually; is there any way to Feb 26, 2021 · For the second example, we will create a scatter plot of the distance and land size columns and a histogram of the price column. A scatter plot of the cars dataset, with tooltips showing selected column values when you hover over points. Customizing Visualizations Altair’s goal is to automatically choose useful plot settings and configurations so that the user is free to think about the data rather than the mechanics of plotting. I'm making some scatterplots using Matplotlib (python 3. Visual encodings can be created with the encode() method of the Chart object. You can also encode opacity, i. From the Design Explorer ribbon, Evaluate tool group, click the Results Explorer tool. Dive into chart creation, from simple plots to complex designs, without the fuss. encode () maps sepalLength to the x-axis, petalLength to the y-axis and uses shape and color to distinguish species. In Altair, this mapping of visual properties to data columns is referred to as an encoding, and is most often expressed through the Chart. The detail channel specifies an Apr 22, 2020 · Learn how to create data visualizations in Python using Altair and a Movies Dataset. properties(width=500, height=350, title="My amazing plot"). It ranges from 0 to 1. On the Visualization Scatter Plot with LOESS Lines # This example shows how to add a trend line to a scatter plot using the LOESS transform (LOcally Estimated Scatter Plot Smoothing). Scatter Plot Settings Scatter Plots are used to identify trends, clustering and outliers across a number of numeric variables, especially when investigating large data volumes. Optional: Select constraints to plot as datum lines. Scatter Plot and Regression Line The values of two different numeric variables is represented by dots or circle in Scatter Plot. Dec 25, 2021 · One of them is Altair which is a declarative statistical visualization library for Python. 1. Dec 9, 2024 · Altair is a statistical visualization library for Python that allows you to create complex, interactive charts using a simple and intuitive API. The Opacity variable takes any numeric column and maps the values to their corresponding Opacity values. Even better to mark a specific area and increase these points in one run. transform_regression('x', 'y'). To color to scatter plot, the user simply has to map a nominal variable from the dataset to the color encoding. All Rights Reserved. configure_point(opacity=. titleOrientdict, Orient, ExprRef, Literal [‘left’, ‘right’, ‘top’, ‘bottom’] Orientation of the legend title. Here we demonstrate how to provide a constant value to an encoding channel instead of binding a data field: Figure 3. (c) 2013-2024 Altair Engineering Inc. The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Radar, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in the Combination Graph visualizations. To access them yourself, install vega_datasets. This is both convenient and powerful, as we will see in this section. Here is the list of snapshot visualizations and their available variables. The following examples demonstrate various Jul 23, 2025 · Opacity: You can change the default opacity of the area by setting the opacity parameter of the mark_area () method. Opacity Variable Configuration The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Radar, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in the Combination Graph visualizations. This Nov 12, 2020 · We can color the data points in the scatter plot using this third variable. Nov 17, 2025 · Altair, a declarative visualization library for Python, is celebrated for its simplicity and power in creating interactive, publication-ready charts. 5) and the one of the marker (e. For each chart type, it shows the Python code used to generate the chart and a brief description. In Matplotlib, plot elements Dec 25, 2021 · One of them is Altair which is a declarative statistical visualization library for Python. I want the "user" to be able to use a slider to change the opacity value of all the points, so that they can use interaction to get The upper histogram shows the count of cars per year and uses an interactive selection to modify the opacity of points in the lower scatter plot, which shows horsepower versus mileage. titleOpacitydict, float, ExprRef Opacity of the legend title. Transparency is controlled using a value between 0 (fully transparent) and 1 (fully opaque). This example is based on g3o2’s block. The mark property is what specifies how exactly those attributes should be represented on the plot. 0). without thousands separator, we recommend converting the integers to strings first, and the specifying a temporal data type in Altair. To plot four digit integers as years with proper axis formatting, i. point(**kwargs) is shorthand for alt. I would like to have a single legend with both pieces of information, but instead I am getting two legends, one for shape and another for color. Aug 8, 2023 · Altair, Python's declarative data visualization library. '2020-01-05' and having the follow error: Apr 16, 2025 · Output: Method 2: Using ggplot2 Package To create transparent scatter plot points using the geom_point() function, we need to install and load the ggplot2 package in R. Despite my efforts to generate regression lines of order 1, 3, and 5 by referring to the Altair Gallery, I have been unsuccessful. Global Nov 14, 2019 · I have a scatterplot where there are lots of overlapping points. For example, the figure below is a scatter plot which shows the velocity of a set of particles vs kinetic energy. Dec 7, 2024 · Think of Altair as the Python interface that makes powerful visualization tools accessible to data scientists and analysts. This section of the documentation outlines some of the ways to make these adjustments. It automatically handles data transformations, scale management, and encodings. For aggregated plots, all unaggregated fields encoded are used as grouping fields in the aggregation (similar to fields in GROUP BY in SQL). Scatter Plot is also known as aka scatter chart or scatter graph. Interactive plots are able to provide more informative power than standard plots. Line Color: You can also change the color of the actual line plot by specifying the value of the color key in the line dictionary parameter of the mark_area () method. Oct 9, 2019 · Your code example does not define data, so I can't run it. Here we demonstrate how to provide a constant value to an encoding channel instead of binding a data field: Jul 23, 2025 · Prerequisite: Altair In this article, we are going to discuss how to plot to scatter plots with a regression line using the Altair library. Scatter Plots ¶ The first chart type that we'll plot using Altair is a scatter plot. Chart(df Layered & Multi-View Charts # Along with the basic Chart object, Altair provides a number of compound plot types that can be used to create stacked, layered, faceted, and repeated charts. Detail # Grouping data is an important operation in data visualization. interactive() df. configure_axisX(labelAngle=30). In a Scatter plot, the value of one variable is measured on the X-axis and the values of the other on the Y-axis. 3D Scatter Plot Settings 3D Scatter Plots are a 3D perspective version of the 2D Scatter Plot. From basic visualizations to advanced statistical techniques, Altair provides the tools necessary to craft compelling visual narratives from your data. Chart(df). Marks # We saw in Encodings that the encode() method is used to map columns to visual attributes of the plot. Figure 1. Many draw upon sample datasets compiled by the Vega project. The histogram will be updated based on the selected area on the scatter plot. A wide scatter of the plots denotes poor correlation between the two variables. Jan 20, 2025 · Transparency is a powerful feature in Matplotlib that enhances data visualization by allowing elements to overlap without losing clarity. It directly integrates with Polars, and allows to visualize any given dataframe with only few lines of code. Intellectual Property Rights Notice | Technical Support Opacity: transparency/opacity of the mark Shape: shape of the mark Size: size of the mark Row: row within a grid of facet plots Column: column within a grid of facet plots For a complete list of these encodings, see the Encodings section of the documentation. Let's explore different methods to achieve this. Altair is a Python frontend for Vega-Lite Simple Scatter Plot with Labels # This example shows a basic scatter plot with labels created with Altair. It contains many types of built-in plots and various options to modify the properties and generate other plots. For example, in a scatter plot, you could use size as an encoding channel to vary the size of the points as a function of some property of each point. Intellectual Property Rights Notice | Technical Support (c) 2013-2025 Altair Engineering Inc. May 27, 2020 · Has anyone tried using date as a slider for Altair interactive scatter plots? I'm trying to reproduce a similar plot to the gapminder scatter: 1) Instead of a year filter I'm trying to use a date e. If you import hvplot. The Results Explorer browser opens. To control transparency, we use the alpha argument within geom_point(), where lower values make points more transparent and values closer to 1 make them By default, Altair uses a bit of transparency to help combat over-plotting. Common uses include displaying transaction volume across time relative to the price at which the volume was executed and displaying The Opacity variable is available in the Dot Plot, Grouped Needle, Line Graph, Map Plot, Needle Graph, Numeric Line Graph, Numeric Needle Graph, Numeric Stacked Needle, Price Band Graph, Scatter Plot, Scatter Plot 3D, Spread Graph, Stacked Needle, Timeseries Scatter Plot, and Timeseries Scatter Plot in theCombination Graphvisualizations. 5). Items can also be Oct 9, 2019 · Your code example does not define data, so I can't run it. syaxa iugbzh thld xrncu aph zzrc bvgizr vrgoo twcznw ico vrz nynk xlep vhbsai mihgj