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Matplotlib can create plots in a variety of output formats, such as PNG and SVG. Matplotlib mainly does 2-D plots (such as line, contour, bar, scatter, etc.), but 3-D functionality is also available. A simple SVG line plot with Matplotlib. Here is a minimal line plot (output image is shown on the right):
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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
This plot was created with Matplotlib. Source code ... plt. legend (r "$\lambda=1$", r ... Add a one-line explanation of what this file represents.
This plot was created with Matplotlib. ... # bx = plt. legend ... Add a one-line explanation of what this file represents.
This plot was created with Matplotlib. Source code ... bx = plt. legend (A, ... Add a one-line explanation of what this file represents.
# Normal Distribution import numpy as np import matplotlib.pyplot as plt def make ... plt. ylim (0, 1) plt. legend (['0.2', '1.0', '5.0 ... Add a one-line explanation ...
from matplotlib.pyplot import * from numpy import linspace from scipy.stats ... (True) ax. minorticks_on ax. legend (loc = 9) setp ... Add a one-line explanation of ...