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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')
matplotlib.pyplot.xlabel. #. matplotlib.pyplot.xlabel(xlabel, fontdict=None, labelpad=None, *, loc=None, **kwargs) [source] #. Set the label for the x-axis. Parameters:
matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.
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 ...
11 mar 2023 · Is there a way to add title (and xlabel and ylabel) to plt.scatter(x,y,...) or plt.plot(x,y,...) directly without writing additional lines? It is easy to add it when we use Series_name.plot in wh...
With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.
Alternatively, you can use the style context manager, which sets a style temporarily: with plt . style . context ( 'stylename' ): make_a_plot () Let's create a function that will make two basic types of plot:
