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flameplot's Introduction

Hi there! I am sharing my knowledge with the world through my blogs and open-source GitHub projects.

Your ❤️ is important to keep maintaining my packages. It is awsome that there are readily millions of downloads but to keep the libraries alive, I often need to make all kinds of fixes. This can eat up my entire weekend and evenings. Yes, I do this for free and in my free time! There are various ways you can help. You can report bugs/ issues, or even better help out with fixing bugs or maybe adding new features! If you don't have the time or maybe you are still learning, you can also take a Medium Membership using my referral link to keep reading all my hands-on blogs and learn more :-) If you don't need that, there is always an easy way with Coffee :-) Cheers!

Buy Me a Coffee at ko-fi.com

A structured list of my repos

All Repos can be found in the Repositories section. If Sphinx pages are available, the link will directly go to the documentation pages.

Statistics Machine learning (Time)Series Vizualization Utils API
bnlearn clusteval findpeaks d3graph df2onehot googletrends
hnet classeval temporalrank d3heatmap pypickle slacki
distfit hgboost caerus treeplot ismember
pca clustimage kaplanmeier irelease
thompson undouble flameplot pypiplot
benfordslaw worldmap dicter
colourmap
imagesc
scatterd
d3blocks

Find here my Pypi download stats

Overview of open issues

d3blocks bnlearn hnet distfit pca benfordslaw clustimage undouble clusteval classeval hgboost findpeaks d3graph d3heatmap treeplot kaplanmeier ismember dicter

flameplot's People

Contributors

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Watchers

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Forkers

jsaribeiro123

flameplot's Issues

Documentation Inconsistency

Currently flameplot only provides a "fig" as a tuple of fig (plot) and ax
https://github.com/erdogant/flameplot/blob/master/flameplot/flameplot.py#L161

But the tuple contains the real fig (plot) and ax
https://github.com/erdogant/scatterd/blob/master/scatterd/scatterd.py#L156

For purposes of saving graphs, this could be fixed.

For testing (given a proper X):

!pip install umap-learn trimap pacmap
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
from umap import UMAP # https://github.com/lmcinnes/umap
from trimap import TRIMAP # https://github.com/eamid/trimap
from pacmap import PaCMAP # https://github.com/YingfanWang/PaCMAP

k = 3
mapper = [TSNE(n_components=k), 
  # UMAP(n_components=k),
  # TRIMAP(n_dims=k),
  PaCMAP(n_components=k)
]

from flameplot import scatter, compare, plot

pca_standard = PCA().fit_transform(X)

for i in mapper:
  title = type(i).__name__ # name of the object class
  transformed = i.fit_transform(X)
  fig, _ = scatter(transformed[:,0], transformed[:,1], labels=y['country'], s=75, title=title)
  fig.savefig(title+'_2D.png')
  scores = compare(pca_standard, transformed, n_steps=5)
  fig, _ = plot(scores, xlabel='PCA', ylabel=title)
  fig.savefig(title+'_factors.png')

Module Import Error

I installed via pip install flameplot and called import flameplot and had gotten an error ModuleNotFoundError: No module named 'requests'. Manually installing requests resolves this issue.

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