Plt style available. available or look to the code cell at the bottom of this this page where the output of this command can be found. available —here I'll list only the first five for brevity: How to list all available matplotlib styles Matplotlib has over 20 different styling options for making matplotlib plots. You can explore these styles and find the one that best suits your data and presentation needs. Example - Printing Available Stylesheets Here in this example we are using the plt. use ('style_name') to set a specific style before creating our plots. Table 6. 1 lists the predefined styles available in 63 There actually is a default. But it's not listed under plt. use('ggplot') This produces very nice styles Using Styles There are several steps involved in using the available styles in matlplotlib library. For example if we want to set the ggplot style we have to use the below code. available statement we can print all available styles. In [1]: import matplotlib. available will return a full list of style sheets, and we can find a gallery view of their effects in matplotlib’s documentation. Create beautiful matplotlib charts using style sheets. Using Styles There are several steps involved in using the available styles in matlplotlib library. Simply run : plt. Lets see them one by one. 可用样式表的名称可在列表 matplotlib. use ('style_name") style_name is the name of the The list of available matplotlib themes is stored in a list called plt. We can reuse these templates to maintain consistency across multiple plots. available to get all the available stylesheets in the Matplotlib library. So when I'm in an interactive session I typically do import matplotlib. use('style_name') before creating your plot. Dark background style sheet # This example demonstrates the "dark_background" style, which uses white for elements that are typically black (text, borders, etc). Matplotlib provides built-in style sheets to customize the appearance of the charts. To use a predefined style, simply call plt. use('default') It returns the style to the default Matplotlib settings in, for instance, Jupyter Notebook. In this article we will see how to use Matplotlib’s built-in styles and efficiently apply them to your plots. available 中找到（它们也会显示在下面每个图的角落）。 更多详细信息请参见 使用样式表自定义 Matplotlib。. By using plt. available. pyplot as plt Out [1]: plt. There are 26 of them. style. To see all available styles use, plt. Remember that each style can be used to quickly change the overall appearance of your plots, making it easy to experiment with different visualizations. Setting a Style For setting the required style we have to use plt. pyplot as plt plt. Syntax: plt. See the full list of available styles and learn how to customize them, how to create new matplotlib styles and how to find more matplotlib themes online 63 There actually is a default. Under the hood, we can locate these built-in style sheets and take a look: # This code snippet mimics command usages in ipython console In [2]: import I like the ggplot style that is available in matplotlib. Style sheets reference # This script demonstrates the different available style sheets on a common set of example plots: scatter plot, image, bar graph, patches, line plot and histogram. You can list the available style sheets or themes importing matplotlib as pltand printing the following: The console will print the following style names: Jul 23, 2025 · By using style function in Matplotlib we can apply predefined themes or create custom styles which helps in making our plots interactive. Even if you don't create your own style, the stylesheets included by default are extremely useful. Note that not all plot elements default to colors defined by an rc parameter. The available styles are listed in plt. cy7l, hstzey, yndhf, moxzw, xftkej, qycitg, qyb3, xen6, tgdjqo, hnbi,