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A Python library for working with time series data. It comes with common financial functions built-in.
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Gourav Kumar 6bbdac35ec parse_dates decorator works with optional date params
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README.md

Fincal

This module simplified handling of time-series data

The problem

Time series data often have missing data points. These missing points mess things up when you are trying to do a comparison between two sections of a time series.

To make things worse, most libraries don't allow comparison based on dates. Month to Month and year to year comparisons become difficult as they cannot be translated into number of days. However, these are commonly used metrics while looking at financial data.

The Solution

Fincal aims to simplify things by allowing you to:

  • Compare time-series data based on dates
  • Easy way to work around missing dates by taking the closest data points
  • Completing series with missing data points using forward fill and backward fill

Examples