Matplotlib: Difference between revisions

Revision as of 10:44, 30 August 2024

Revision as of 06:28, 26 October 2024

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[[Matplotlib]] supports various types of 2 dimensional and 3 dimensional plots. The support for two dimensional plots is robust. The support for three dimensional plots was added later and while it is good, it is not as robust as 2 dimensional plots.

import matplotlib.pyplot as plt

===Examples===

import statistics

<gallery mode="packed">

File:Synchrotron Functions.svg|Line plot

UA_data = [301, 311, 294, 279, 275, 285, 302, 308, 295, 297, 315, 312, 316, 316, 311, 304, 298, 292, 288, 300]

File:Matplotlib histogram v.svg|Histogram

days = range(1, 21)

File:Matplotlib scatter v.svg|Scatter plot

mean_UA = statistics.mean(UA_data)

File:Matplotlib 3d v.svg|3D plot

stdev_UA = statistics.stdev(UA_data)

File:Mpl example qbo.svg|Image plot

File:Mpl example Helmoltz coils.svg|Contour plot

plt.figure(figsize=(10, 6)) # Adjust figure size as needed

File:Weight Growth of RN First Rate Line-of-Battle Ships 1630-1875.svg|Scatter plot

plt.plot(days, UA_data, marker='o', linestyle='-')

File:Logarithmic Spiral Pylab.svg|Polar plot

plt.axhline(mean_UA, color='r', linestyle='--', label=f'Mean: {mean_UA:.2f}')

File:Temp-sunspot-co2.svg|Line plot

plt.axhline(mean_UA + stdev_UA, color='g', linestyle='--', label=f'Mean + 1SD')

File:Mpl example Rosenbrock function.svg|3-D plot

plt.axhline(mean_UA - stdev_UA, color='g', linestyle='--')

File:Mandelbrot set, plotted with Matplotlib.svg|Image plot

plt.axhline(mean_UA + 2 * stdev_UA, color='b', linestyle='--', label=f'Mean + 2SD')

</gallery>

plt.axhline(mean_UA - 2 * stdev_UA, color='b', linestyle='--')

plt.axhline(mean_UA + 3 * stdev_UA, color='k', linestyle='--', label=f'Mean + 3SD')

plt.axhline(mean_UA - 3 * stdev_UA, color='k', linestyle='--')

plt.xlabel('Day')

plt.ylabel('Uric Acid Level')

plt.title('Levey-Jennings Chart for Uric Acid')

plt.legend()

plt.grid(True)

plt.show()

==Animations==