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hub-courses
scientific_python
Commits
6a346baf
Commit
6a346baf
authored
3 years ago
by
François LAURENT
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unformatted cheatsheet (direct output from cheatsheet.sh)
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output from cheatsheet.sh:
numpy
---------
arange
argmax
argmin
array
concatenate
cov
cumsum
diag
dot
eye
flatnonzero
flipud
histogram
hstack
isnan
linspace
load
log
mean
meshgrid
ones
ones_like
repeat
reshape
rot90
sin
sort
sqrt
stack
std
sum
swapaxes
unique
var
vstack
zeros
zeros_like
pandas
---------
concat
crosstab
DataFrame
ExcelWriter
merge
read_csv
Series
matplotlib.pyplot
---------
annotate
arrow
axes
axhline
axline
axvline
bar
barh
boxplot
colorbar
errorbar
figure
Figure
fill_between
gca
grid
head
hist
hist2d
imshow
legend
loglog
plot
rc
savefig
scatter
semilogy
show
subplots
text
tight_layout
title
violinplot
xlabel
xlim
xticks
ylabel
ylim
yticks
seaborn
---------
boxplot
catplot
countplot
displot
heatmap
histplot
kdeplot
pairplot
regplot
rugplot
scatterplot
stripplot
swarmplot
plotly.express
---------
density_mapbox
scatter
scatter_3d
ipywidgets.widgets
---------
Dropdown
FloatSlider
IntSlider
skimage.io
---------
imread
scipy.stats
---------
anova_lm
bartlett
chi2
chi2_contingency
chisquare
f_oneway
ks_2samp
kstest
linregress
multivariate_normal
norm
normaltest
pearsonr
probplot
sem
skew
skewtest
spearmanr
t
ttest_1samp
ttest_ind
ttest_rel
statsmodels.api
---------
add_constant
OLS
statsmodels.formula.api
---------
glm
ols
statsmodels.stats.anova
---------
AnovaRM
statsmodels.stats.diagnostic
---------
het_white
statsmodels.stats.power
---------
TTestIndPower
sklearn.decomposition
---------
FactorAnalysis
PCA
SparsePCA
sklearn.manifold
---------
TSNE
umap
---------
UMAP
others
---------
collections: defaultdict
matplotlib: image
patsy: dmatrices
patsy: ModelDesc
plotly.subplots: make_subplots
sklearn: decomposition
sklearn: manifold
sklearn.preprocessing: StandardScaler
statsmodels.graphics.factorplots: interaction_plot
statsmodels.stats.multitest: multipletests
statsmodels.stats.outliers_influence: OLSInfluence
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