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An open source library for common hydrological and meteorological issues

Project description

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Repo status - in process contributions - welcome Python - 3.10.8 license - MIT

An open source library for common hydrological and meteorological issues.

The motivation for implementing this library grows out of my personal and academic projects where I face some typical problems repeatedly.

functionalities

The library contains following functionalities, which are updated regularly.

EDA

  1. estimates of location: arithmetic_mean, weighted_arithmetic_mean, trimmed_mean,geometric_mean,exponential_mean,harmonic_mean,median,weighted_median,percentile
  2. estimate_of_variability: mu, avg_absolute_deviation_from_mean, avg_absolute_deviation_from_median, median_absolute_deviaton,variance, stdev, range, iqr
  3. estimates of distribution: coefficient_of_skewness, coefficient_of_kurtosis TODO #7, mode
  4. quality investigation: missing_days, duplicates, outlier

TimeSeries

  • subset_timeframe: subdivide time series based on a timeframe
  • subset_period: subdivide time series based on a period
  • hyd_year: derive the hydrological year based on a given start day and month
  • principal_values: derive principal values (HHX, HX, MHX, MX, MNX, NX, NNX) from a time series

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