Plt.plot(, color ='blue', linewidth=1.5, linestyle="-") The annotate command to display some text with an arrow. We'll firstĭraw a marker on the curve as well as a straight dotted line. We choose theĢπ/3 value and we want to annotate both the sine and the cosine. Let's annotate some interesting points using the annotate command. You can get source for each step by clicking on the corresponding figure. To run the example, you can download each of the examples and run it using: $ python exercice_1.py The cosine (256 values) and S is the sine (256 values). X is now a NumPy array with 256 values ranging from -π to +π (included). X = np.linspace(-np.pi, np.pi, 256, endpoint=True) The first step is to get the data for the sine and cosine functions: import numpy as np Starting from the default settings, we'll enrich the figure step by step In this section, we want to draw the cosine and sine functions on the same Important commands are explained with interactive examples. Majority of plotting commands in pyplot have Matlab(TM) analogs with similarĪrguments. Pyplot provides a convenient interface to the matplotlib object-oriented Interactive matplotlib sessions that have Matlab/Mathematica-like functionality. Shell commands, improved debugging and much more. Has lots of interesting features including named inputs and outputs, access to IPython is an enhanced interactive Python shell that Matplotlib in interactive mode covering most common cases. Publication-quality figures in many formats. Provides both a very quick way to visualize data from Python and Matplotlib is probably the single most used Python package for 2D-graphics. You can test your installation before the tutorial using the check-installation.py script. All code and material is licensed under a Creative Commons
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