X position in data coordinates of the vertical line.
Matplotlib vertical line legend.
Should be between 0 and 1 0 being the bottom of the plot 1 the top of the plot.
Conclusion of drawing horizontal and vertical lines in matplotlib in this tutorial we will introduce two methods to draw horizontal and vertical lines in matplotlib.
Default is none which means using rcparams legend labelspacing.
Ymin scalar optional default.
This legend guide is an extension of the documentation available at legend please ensure you are familiar with contents of that documentation before proceeding with this guide.
The legend method adds the legend to the plot.
Should be between 0 and 1 0 being the bottom of the plot 1 the top of the plot.
The vertical space between the legend entries in font size units.
Generating legends flexibly in matplotlib.
X position in data coordinates of the vertical line.
Legends can be placed in various positions.
Should be between 0 and 1 0 being the bottom of the plot 1 the top of the plot.
X position in data coordinates of the vertical line.
This guide makes use of some common terms which are documented here for clarity.
Should be between 0 and 1 0 being the bottom of the plot 1 the top of the plot.
Should be between 0 and 1 0 being the bottom of the plot 1 the top of the plot.
To make a legend for lines which already exist on the axes via plot for instance simply call this function with an iterable of strings one for each legend item.
The vertical space between the legend entries in font size units.
Axhline and axvline to plot horizontal and vertical lines in matplotlib.
A legend can be placed inside or outside the chart and the position can be moved.
The number of marker points in the legend when creating a legend entry for a pathcollection scatter plot.
In this article we will show you some examples of legends using matplotlib.
November 24 2019 updated.
The number of marker points in the legend when creating a legend entry for a line2d line.
Default is none which will take the value from rcparams legend numpoints 1.
Ymax scalar optional default.
Data visualization with matplotlib.
0 8 the pad between the legend handle and text in font size units.
2 0 the length of the legend handles in font size units.
Matplotlib has native support for legends.
