flyingfish 0.0.1

An open source library for common hydrological and meteorological issues

An open source library for common hydrological and meteorological issues.

Content

analysis

class TimeSeries

• subset_timeframe: subdivide time series based on a timeframe
• subset_period: subdivide time series based on a period
• hyd_year: add column "hyd_year" (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
• extract partial series: TODO #5
• extract independent events: TODO #6

class NumericalList

exploratory data analysis

• estimates of location: arithmetic_mean, weighted_arithmetic_mean, trimmed_mean,geometric_mean,exponential_mean,harmonic_mean,median,weighted_median,percentile
• estimate_of_variability: mu, avg_absolute_deviation_from_mean, avg_absolute_deviation_from_median, median_absolute_deviaton,variance, stdev, range, iqr
• estimates of distribution: coefficient_of_skewness, coefficient_of_kurtosis TODO #7, mode

data distributions

• calculate empirical distribution: TODO #8
• fitting theoretical distribution: TODO #4

Error statistics

class MultiNumericalList

• covariance: TODO #9
• correlation: TODO #10

cleaning

• consistency: data gaps, missing values, duplicate: TODO #12
• homogenity: TODO #13
• precipitation correction after Richter: TODO #14

visualization

• plot hydrograph: TODO #15
• plot summation curve: TODO #16
• plot duration curve: TODO #17
• plot wind rose: TODO #18
• plot atmospheric sounding: TODO #19

example

Run example with jupyter notebook within the virtual environment.