Line label matplotlib tutorial

matplotlib custom legend
matplotlib subplot legend
matplotlib legend example
matplotlib legend title
matplotlib scatter legend
matplotlib legend outside
no handles with labels found to put in legend.matplotlib axis label

11 Jul 2015 line_up, = plt.plot([1,2,3], label='Line 2') line_down, = plt.plot([3,2,1], For example, if you want your axes legend located at the figure's top right-hand corner posts explains how to make a line chart with several lines. Each line represents a set of values, for example one set per group. To make so with matplotlib we just have to call the plot function several times (one time per group). plt.legend()Free Bonus: Click here to download 5 Python + Matplotlib examples with full source The library itself is huge, at something like 70,000 total lines of code. a chart is its own manipulable Python object, all the way down to the ticks and labels:. A lot of times, graphs can be self-explanatory, but having a title to the graph, labels on the axis, and a legend that explains what each line is can be necessary. Legends can be placed in various positions: A legend can be placed inside or In this article we will show you some examples of legends using matplotlib. For example: ax.plot([1, 2, 3]) ax.legend(['A simple line']). Note: This way of using is discouraged, because the relation between plot elements and labels is only Label line using matplotlib. Contribute to cphyc/matplotlib-label-lines development by creating an account on GitHub. The simplest legend can be created with the plt.legend() command, which automatically For example, we can specify the location and turn off the frame: The plt.plot() command is able to create multiple lines at once, and returns a list of 1 Oct 2013 import numpy as np import pylab x = np.linspace(0, 20, 1000) y1 = np.sin(x) y2 your labels as a tuple or list within legend , as in this working example: plt.plot(data[:,0], m*data[:,0] + b,color='red',label='Our Fitting Line')