Predictive Hacks

Tidyr’s nest function in Pandas

import pandas as pd
import seaborn
#loading the iris dataset
iris = seaborn.load_dataset("iris")
iris.head(3)
   sepal_length  sepal_width  petal_length  petal_width species
0           5.1          3.5           1.4          0.2  setosa
1           4.9          3.0           1.4          0.2  setosa
2           4.7          3.2           1.3          0.2  setosa
#The pandas "Nest" function
df=iris.groupby("species").apply(lambda x:dict(x))
Species
setosa        {'Sepal.Length': [5.1, 4.9, 4.7, 4.6, 5.0, 5.4...
versicolor    {'Sepal.Length': [7.0, 6.4, 6.9, 5.5, 6.5, 5.7...
virginica     {'Sepal.Length': [6.3, 5.8, 7.1, 6.3, 6.5, 7.6...
#To access one of the Species:
pd.DataFrame(df['versicolor'])
     sepal_length  sepal_width  petal_length  petal_width     species
100           7.0          3.2           4.7          1.4  versicolor
101           6.4          3.2           4.5          1.5  versicolor
102           6.9          3.1           4.9          1.5  versicolor

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