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matplotlib.pyplot.xlabel(xlabel, fontdict=None, labelpad=None, *, loc=None, **kwargs) [source] #. Set the label for the x-axis. Parameters: xlabelstr. The label text. labelpadfloat, default: rcParams["axes.labelpad"] (default: 4.0) Spacing in points from the Axes bounding box including ticks and tick labels. If None, the previous value is left ...
- Style sheets reference — Matplotlib 3.9.2 documentation
This script demonstrates the different available style...
- Customizing Matplotlib with style sheets and rcParams
Tips for customizing the properties and default styles of...
- Style sheets reference — Matplotlib 3.9.2 documentation
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. Any of these style sheets can be imported (i.e. activated) by its name. For example for the ggplot style: >>> plt.style.use('ggplot')
Tips for customizing the properties and default styles of Matplotlib. There are three ways to customize Matplotlib: Setting rcParams at runtime. Using style sheets. Changing your matplotlibrc file. Setting rcParams at runtime takes precedence over style sheets, style sheets take precedence over matplotlibrc files.
Before we dive into the specifics of how to style plots using Matplotlib, let’s start with a basic example to illustrate the importance of styling: import matplotlib.pyplot as plt import numpy as np x = np.linspace (0, 10, 100) y = np.sin (x) plt.plot (x, y) plt.title ('How to Style Plots using Matplotlib - Basic Example') plt.xlabel ('X-axis ...
12 kwi 2020 · matplotlib.pyplot.xlabel () Function. The xlabel () function in pyplot module of matplotlib library is used to set the label for the x-axis.. Syntax: matplotlib.pyplot.xlabel (xlabel, fontdict=None, labelpad=None, **kwargs) Parameters: This method accept the following parameters that are described below: xlabel: This parameter is the label text.
23 lis 2017 · You need to use plt.xticks() as shown here. It controls what ticks and labels to use for your x-axis. In your example, you will have to add another line as shown below:
With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.
