Seaborn - 1 feature_, axes = plt.subplots(
nrows=1, ncols=2, figsize=(12, 4))
axis[0] = sns.xxx
| put a sns plot in a pyplot figure | sns.distplot(
df['feat']);
| histogram + density of a numeric feature's repartition | sns.boxplot(
data=df['feat']);
| simple boxplot | sns.violinplot(
data=df['feat']);
| simple violin plot | sns.countplot(
x='feat',data=df);
| repartition of a
categorical feature |
Seaborn - 2 featuressns.heatmap(matrix)
| heatmap | sns.jointplot(
x=feat1,
y=feat2,
data=df,
kind=['scatter', 'kde'])
| joint plot | sns.pairplot(df[feats])
| scatterplots matrix | sns.boxplot(x=feat1, y=feat2, data=df, ax=ax)
| boxplot for disjoint groups (x categorical) | sns.violinplot(x=feat1, y=feat2, data=df, ax=ax)
| violin plot for disjoint groups | sns.countplot(
x='feat1',
hue='feat2',
data=df);
| repartition of a
categorical feature according to another one | sns.lmplot(
feat1,
feat2,
data=df,
hue=feat3,
fit_reg=False)
| scatterplot with color according to category | sns.factorplot(
x=cat1,
y=numeric,
col=cat2,
data=df,
kind="box",
col_wrap=4,
size=, aspect=);
| analyze a quantitative variable in 2 categorical dimensions at once |
| | Dimensionallity reduction - t-SNEfrom sklearn.manifold import TSNE
from sklearn.preprocessing
import StandardScaler
# Standardize data
scaler = StandardScaler()
tab_scaled = scaler.fit_transform(tab)
# Run t-SNE
tsne = TSNE(random_state=17)
tsne_repr = tsne.fit_transform(tab_scaled)
# Show results
plt.scatter(tsne_repr[:, 0], tsne_repr[:, 1], c=df[feat].map({False: 'green', True: 'red'}));
|
Plotlyfrom plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import plotly
import plotly.graph_objs as go
| trace0 = go.xxx
data = [trace0, trace1, ...]
layout = {'title': title, ..}
fig = go.Figure(data=data, layout=layout)
iplot(fig, show_link=False)
| general syntax | trace = go.Scatter(x=feat1, y=feat2, name=)
| line | trace = go.Bar(x=feat1, y=feat2 , name=)
| barchart | trace = go.Box(y=feat, name=genre)
| boxplot | plotly.offline.plot(
fig,
filename='file.html',
show_link=False)
| Save figure as an html file |
|
