Matplotlib Pyplot Plot Legend

0 0 is at the base the legend text and 1 0 is at the top.

Matplotlib pyplot plot legend.

Import matplotlib pyplot as plt create plot plt subplot 211 plt plot 2 4 6 label first data plt plot 6 4 2 label second data place legend above plot plt legend bbox to anchor 0 1 1 0 loc lower left mode expand ncol 2 show plot plt show. 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. Legends can be placed in various positions. Matplotlib pyplot plot args scalex true scaley true data none kwargs source plot y versus x as lines and or markers.

The attribute loc in legend is used to specify the location of the legend default value of loc is loc best upper left. Matplotlib pyplot legend a legend is an area describing the elements of the graph. 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. 0 y 1 son ymin y ymax respectivamente.

0 2 significa que la línea se dibujará en el punto 0 2 del gráfico. In this article we will show you some examples of legends using matplotlib. A legend can be placed inside or outside the chart and the position can be moved. Import matplotlib pyplot as plt plt axvline 0 2 0 1 label pyplot vertical line plt legend plt show en este ejemplo dibujamos una línea vertical.

In the matplotlib library there s a function called legend which is used to place a legend on the axes. To draw all markers at the same height set to 0 5. 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 offset relative to the font size for the markers created for a scatter plot legend entry.