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
Code Snippet Corner

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
Code Snippet Corner

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
Code Snippet Corner

Recasting Low-Cardinality Columns as Categoricals

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

Removing Duplicate Columns in Pandas
Code Snippet Corner

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.

Downcast Numerical Data Types with Pandas
Code Snippet Corner

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
Code Snippet Corner

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
Code Snippet Corner

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
Code Snippet Corner

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