data_base ❭ analyze ❭ spatiotemporal_binning ❭ universal_pd

universal_pd¶

data_base.analyze.spatiotemporal_binning.universal_pd(df, distance_column, spatial_distance_bins=50, min_time=0, max_time=300, time_distance_bins=1)¶

Bin a pandas DataFrame by both distance and time.

This is a speed-optimized binning code for 2d-binning of a pandas.DataFrame.

Parameters:¶

df (pandas.DataFrame) – DataFrame to bin. Must contain a column with the name distance_column that contains the distance values.
distance_column (str) – Column name of the distance values.
spatial_distance_bins (int) – Size of the distance bins. Default is $50 μ m$ .
min_time (int) – Minimum time value. Default is $0 m s$ .
max_time (int) – Maximum time value. Default is $300 m s$ .
time_distance_bins (int) – Size of the time bins. Default is $1 m s$ .

Returns:¶

A 2D array of the binned values.

Return type:¶

array