Matplotlib: Difference between revisions
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=Internal= | =Internal= | ||
* [[ | * [[Python_for_Data_Analysis#Overview|Python for Data Analysis]] | ||
=Overview= | =Overview= | ||
matplotlib is the most popular Python library for producing plots and other two-dimensional data visualizations. | |||
=Install= | =Install= | ||
<syntaxhighlight lang='bash'> | <syntaxhighlight lang='bash'> | ||
pip3 install matplotlib | pip3 install matplotlib | ||
</syntaxhighlight> | |||
=Import Convention= | |||
<syntaxhighlight lang='py'> | |||
import matplotlib.pyplot as plt | |||
</syntaxhighlight> | </syntaxhighlight> | ||
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==Color Palette== | ==Color Palette== | ||
A list of colors that can be used to change the colors in plots, so they don't look the same. | A list of colors that can be used to change the colors in plots, so they don't look the same. This line pulls the default colors from the [[Matplotlib#Visualization_Style|style]]. | ||
<syntaxhighlight lang='py'> | <syntaxhighlight lang='py'> | ||
color_pal = plt.rcParams["axes.prop_cycle"].by_key()["color"] | color_pal = plt.rcParams["axes.prop_cycle"].by_key()["color"] | ||
</syntaxhighlight> | </syntaxhighlight> | ||
Latest revision as of 00:02, 15 May 2024
External
Internal
Overview
matplotlib is the most popular Python library for producing plots and other two-dimensional data visualizations.
Install
pip3 install matplotlib
Import Convention
import matplotlib.pyplot as plt
Visualization Types
Plot
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.
Color Palette
A list of colors that can be used to change the colors in plots, so they don't look the same. This line pulls the default colors from the style.
color_pal = plt.rcParams["axes.prop_cycle"].by_key()["color"]