Matplotlib: Difference between revisions

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=Overview=
=Overview=
=Install=
<syntaxhighlight lang='bash'>
pip3 install matplotlib
</syntaxhighlight>
=Visualization Types=
=Visualization Types=
{{External|https://matplotlib.org/stable/plot_types/index.html}}
{{External|https://matplotlib.org/stable/plot_types/index.html}}

Revision as of 22:29, 7 October 2023

External

Internal

Overview

Install

pip3 install matplotlib

Visualization Types

https://matplotlib.org/stable/plot_types/index.html

Plot

Plot

Scatter

Scatter

Difference between Plot and Scatter

A "plot" expects two X and Y vectors as argument, which are expected to have the same length, and it creates a 2D line that includes the (X,Y) points. The points are connected by line segments.

Visualization Style

The visualization style can be set globally with:

import matplotlib.pyplot as plt 
plt.style.use(<style-name>)

where available style names can be obtained with:

import matplotlib.pyplot as plt 

print(plt.style.available)
Solarize_Light2
_classic_test_patch
_mpl-gallery
_mpl-gallery-nogrid
bmh
classic
dark_background
fast
fivethirtyeight
ggplot
grayscale
seaborn-v0_8
seaborn-v0_8-bright
seaborn-v0_8-colorblind
seaborn-v0_8-dark
seaborn-v0_8-dark-palette
seaborn-v0_8-darkgrid
seaborn-v0_8-deep
seaborn-v0_8-muted
seaborn-v0_8-notebook
seaborn-v0_8-paper
seaborn-v0_8-pastel
seaborn-v0_8-poster
seaborn-v0_8-talk
seaborn-v0_8-ticks
seaborn-v0_8-white
seaborn-v0_8-whitegrid
tableau-colorblind10

Interesting styles:

  • seaborn-v0_8-whitegrid

Otherwise, style elements like axes, gridlines, line color and width can be set up individually.