How-to articles, tricks, and solutions about MATPLOTLIB

Here is a simple code snippet that demonstrates how to add a legend to a PyPlot in Matplotlib:

In matplotlib, you can change the tick frequency on the x or y axis of a plot by using the set_xticks() or set_yticks() method of the Axes class.

To change the size of figures drawn with Matplotlib in Python, you can use the figure() function and set the figsize argument.

In matplotlib, you can set the font size of the figure title and axes labels using the pyplot module.

You can change the figure size of a Seaborn plot by using the set_size_inches() method of the matplotlib.pyplot.figure object and passing in the desired width and height.

There are a couple of ways to change the font size on a matplotlib plot.

To make matplotlib plots show up inline in an IPython notebook, you can use the following code snippet:

In matplotlib, the legend function allows you to specify the location of the legend.

In matplotlib, you can set the limit of the y-axis of a plot by using the set_ylim() method of the Axes class.

This error message occurs when the matplotlib.pyplot module is not installed or not imported properly in your Python environment.

Here is a code snippet that shows how to make the tick labels font size smaller in Matplotlib:

Here is a code snippet that shows how to plot a graph with logarithmic scales for both the x and y axes in Python using the Matplotlib library:

The purpose of "%matplotlib inline" in Python is to display matplotlib plots within the Jupyter notebook.

To save a plot to an image file using Matplotlib, you can use the savefig function.

cla() is used to clear the current axis of a plot in matplotlib.