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visualization's Introduction

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visualization

how to save plot in eps or pdf or png format?

see save_plot.py

note: eps and pdf formats are useful for LaTeX

using matplotlib

see matplotlib/

using seaborn

see seaborn/

dimensionality reduction

see matplotlib/dimensionality_reduction.py

plotting heatmap

see matplotlib/plot_heatmap.py, matplotlib/plot_matrix.py, seaborn/plot_heatmap.py

(seaborn/plot_heatmap.py is the best choice)

plot for paper

see matplotlib/paper.ipynb

Note that the following two are equivalent (see reference)

plot(x, y, 'go--', linewidth=2, markersize=12)

plot(x, y, color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)

plotting error (standard deviations)

see matplotlib/show_errors.ipynb

find optimal k in kmeans

see matplotlib/find_optimal_k_in_kmeans.ipynb

full credit: this link

poster

see matplotlib/poster/create_poster.ipynb

for customizing, see matplotlib/poster/customize.ipynb

credit: this link

gifs

see matplotlib/gifs/create_gif.ipynb

credits: this link, this link

how to create synthwave: matplotlib/gifs/create_synthwave.py (credits: this link)

cool circular bar plot

see https://github.com/probablyvivek/Comics/blob/main/Marvel.ipynb

insert image in a plot

see https://github.com/hbshrestha/Data_Analytics/blob/main/notebooks/Inserting%20image%20to%20a%20plot%20in%20Matplotlib.ipynb

useful resources

LICENSE

MIT

visualization's People

Contributors

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