Python | Pandas TimedeltaIndex.factorize

Python | Pandas TimedeltaIndex.factorize

The factorize() method is used to encode an input index or series-like object into numeric values, essentially turning distinct values into integer codes. This can be particularly helpful in scenarios where you need to convert categorical data into numerical form, such as before feeding data into machine learning models.

For TimedeltaIndex, the factorize() method will return two arrays:

  1. A numeric array that represents each unique timedelta value with a distinct integer.
  2. The index (or 'dictionary') of unique timedelta values.

Here's an example using TimedeltaIndex:

import pandas as pd

# Create a TimedeltaIndex
tdi = pd.TimedeltaIndex(['1 day', '2 days', '1 day', '3 days', '2 days'])

# Factorize the TimedeltaIndex
codes, uniques = tdi.factorize()

print("Codes:", codes)
print("Uniques:", uniques)

Output:

Codes: [0 1 0 2 1]
Uniques: TimedeltaIndex(['1 days', '2 days', '3 days'], dtype='timedelta64[ns]', freq=None)

In this example:

  • The TimedeltaIndex has repeated entries for '1 day' and '2 days'.
  • After factorizing, these repeated values are represented by the same integer code.
  • The uniques array gives the 'dictionary' of unique timedelta values, which can be used to map back from the integer codes.

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