Code Snippet Corner

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
Matthew
Matthew
07 December, 2019•3 min read
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.
Matthew
Matthew
18 November, 2019•7 min read
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.
Matthew
Matthew
28 January, 2019•5 min read
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.
Matthew
Matthew
24 September, 2018•2 min read
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
Matthew
Matthew
17 September, 2018•4 min read
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
Matthew
Matthew
09 September, 2018•2 min read