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
Perform multiple aggregate functions simultaneously with Pandas 0.25
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
Downcast strings in Pandas to their proper data-types using HDF5.
Removing Duplicate Columns in Pandas
Dealing with duplicate column names in your Pandas DataFrame.
Downcast Numerical Data Types with Pandas
Using an Example Where We Downcast Numerical Columns.
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
Tune the min_samples_leaf parameter in for a Random Forests classifier in scikit-learn in Python
Tuning Random Forests Hyperparameters: max_depth
Tune the max_depth parameter in for a Random Forests classifier in scikit-learn in Python
Tuning Machine Learning Hyperparameters with Binary Search
Tune the n_estimators parameter in for a Random Forests classifier in scikit-learn in Python.
Importing Excel Datetimes Into Pandas, Part II
Import dates & times from Excel .xlsx files into Pandas!