Aug 24, 2012 · It sounds like you want to changes the limits of the plotting display - for that use xlim (and ylim for the other axis). To change the xticks themselves is provided in the answer by @fp. Show below is an example using without/with xlim :

Sep 13, 2022 · In this article, we will be looking at the approach to set x-axis values in matplotlib in a python programming language. The xticks() function in pyplot module of the Matplotlib library is used to set x-axis values.

Jun 22, 2020 · 1. Labelling x, y-Axis. Syntax: for x-axis Axes.set_xlabel(self, xlabel, fontdict=None, labelpad=None, \*\*kwargs) for y-axis Axes.set_ylabel(self, ylabel, fontdict=None, labelpad=None, \*\*kwargs) These functions are used to name the x-axis and y-axis. Example:

Matplotlib Axes are the gateway to creating your data visualizations. Once an Axes is placed on a figure there are many methods that can be used to add data to the Axes. An Axes typically has a pair of Axis Artists that define the data coordinate system, and include methods to add annotations like x- and y-labels, titles, and legends.

Each Axes defines Axis objects as well (YAxis and XAxis), each of which define a set() method that can be used to set properties on that axis. fig, ax = plt.subplots() ax.plot(x, y) ax.xaxis.set(ticks=x, ticklabels=my_xticks, label_text='x axis') ax.yaxis.set(ticks=np.arange(y.min(), y.max(), 0.005), label_text='y axis') ax.yaxis.grid();

Convenience method to get or set some axis properties. Call signatures: The axis limits to be set. This can also be achieved using. If a bool, turns axis lines and labels on or off. If a string, possible values are: Hide all axis decorations, i.e. axis labels, spines, tick marks, tick labels, and grid lines. This is the same as set_axis_off().

Mar 2, 2010 · I like to switch x axis with y axis after plotting a graph with matplotlib? Any easy way for it? Thanks in advance.

Apr 12, 2020 · This function is used to set some axis properties to the graph. Syntax: matplotlib.pyplot.axis (*args, emit=True, **kwargs) Example #1: Output:

Jun 28, 2024 · Matplotlib’s settings for axis are numerous and confusing. You are probably confused about ticks, scales, and limit settings. This article details how to customize axis in Matplotlib. Specific steps are presented to set up tick marks, change the scale, and control the range of the axis.

Customizing axes in Matplotlib can greatly enhance the visual allure and clarity of your plots, making it easier to convey your data effectively. The matplotlib.pyplot.axis() function is a versatile tool that allows you to manipulate and customize the axes of a plot.