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matplotlib.pyplot.xlabel# matplotlib.pyplot. xlabel (xlabel, fontdict = None, labelpad = None, *, loc = None, ** kwargs) [source] # Set the label for the x-axis. Parameters: xlabel str. The label text. labelpad float, default: rcParams["axes.labelpad"] (default: 4.0) Spacing in points from the Axes bounding box including ticks and tick labels.
- Figure labels: suptitle, supxlabel, supylabel — Matplotlib 3.9.2 ...
Each Axes can have a title (or actually three - one each...
- Figure labels: suptitle, supxlabel, supylabel — Matplotlib 3.9.2 ...
11 mar 2023 · The usual way to set the labels is plt.xlabeland plt.ylabel. import matplotlib.pyplot as plt x= [8,3,5]; y = [3,4,5] plt.scatter(x,y) plt.title("title") plt.xlabel("x-label") plt.ylabel("y-label") plt.show()
With Pyplot, you can use the xlabel () and ylabel () functions to set a label for the x- and y-axis. Example. Add labels to the x- and y-axis:
12 kwi 2020 · 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. And contains the string value.
Each Axes can have a title (or actually three - one each with loc "left", "center", and "right"), but is sometimes desirable to give a whole figure (or SubFigure) an overall title, using Figure.suptitle. We can also add figure-level x- and y-labels using Figure.supxlabel and Figure.supylabel.
16 maj 2023 · Biblioteka Matplotlib pozwala na wizualizacje danych z wykorzystaniem różnego rodzaju wykresów, takich jak słupkowe, kołowe, histogramy i mapy.
22 kwi 2013 · import matplotlib.pyplot as plt fig, axes = plt.subplots(5, 2, sharex=True, sharey=True, figsize=(6,15)) # add a big axis, hide frame fig.add_subplot(111, frameon=False) # hide tick and tick label of the big axis plt.tick_params(labelcolor='none', which='both', top=False, bottom=False, left=False, right=False) plt.xlabel("common X") plt.ylabel ...
