Code Snippet Corner (page 1)

Real-world examples of Python snippets used to solve complex data problems, primarily leveraging Pandas and related libraries.

Being REALLY Lazy With Multiple Aggregations in Pandas

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Being REALLY Lazy With Multiple Aggregations in Pandas

Perform multiple aggregate functions simultaneously with Pandas 0.25

Splitting Columns With Pandas

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Splitting Columns With Pandas

Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.

Recasting Low-Cardinality Columns as Categoricals

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Recasting Low-Cardinality Columns as Categoricals

Downcast strings in Pandas to their proper data-types using HDF5.

Removing Duplicate Columns in Pandas

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Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.

Downcast Numerical Data Types with Pandas

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Downcast Numerical Data Types with Pandas

Using an Example Where We Downcast Numerical Columns.

Using Random Forests for Feature Selection with Categorical Features

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Using Random Forests for Feature Selection with Categorical Features

Python helper functions for adding feature importance, and displaying them as a single variable.

Tuning Random Forests Hyperparameters: min_samples_leaf

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Tuning Random Forests Hyperparameters: min_samples_leaf

Tune the min_samples_leaf parameter in for a Random Forests classifier in scikit-learn in Python

Tuning Random Forests Hyperparameters: max_depth

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Tuning Random Forests Hyperparameters: max_depth

Tune the max_depth parameter in for a Random Forests classifier in scikit-learn in Python