Hidrokit

Latest version: v0.5.2

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0.4.0

**Added**
- Added module `.contrib.taruma`:
- 102 `hk102`: upsampling dataset.
- 151 `hk151`: outlier test.
- 158 `hk158`: statistical parameter calculation.
- Distribution Goodness-of-Fit Test Module:
- 140 `hk140`: Kolmogorov-Smirnov test.
- 141 `hk141`: Chi-square test.
- Frequency Analysis Module:
- 124 `hk124`: 2-parameter log-normal distribution.
- 126 `hk126`: Pearson Type III log distribution.
- 127 `hk127`: Gumbel distribution.
- 172 `hk172`: Normal distribution.
- 179 CDF function `.calc_prob()` for each frequency analysis.
- 194 `anfrek`: module containing a collection of frequency analysis functions.

**Fixed**
- 169 Fixed test function `test_prep_excel.test__dataframe_table()`.
- 115 Added `verbose=False` argument to module `.contrib.taruma.hk98`.
- 162 Updated function `.contrib.taruma.hk88.read_workbook()` to read all sheets without specifying station/sheet name.

**Changed**
- 162 The output of `as_df=False` argument in function `.contrib.taruma.hk88.read_workbook()` changed from a list to a dictionary.

0.3.6

**Fixed**
- Fixed the `keep_first=False` argument in the `timeseries.timestep_table()` function.

0.3.5

**Added**
- Added module `.contrib.taruma`:
- `hk87`: calculation of dependable flow using flow duration curve.
- `hk88`: extract daily rainfall dataset from excel.
- `hk89`: NRECA model.
- `hk90`: model calibration (NRECA/FJMOCK).
- `hk99`: calculation of rainfall using Thiessen polygon method.
- `hk98`: summary of time series dataset.
- `hk96`: F.J. Mock model.
- `hk102`: upsampling dataset.
- `hk106`: evapotranspiration calculation.

0.3.4

**Added**
- Added module `.contrib.taruma`:
- `hk84`: summarizing rainfall data information.

0.3.3

**Added**
- Added module `.contrib.taruma`:
- `hk79`: extracting rainfall data information from excel.
- Added `makefile` for easier publishing.

**Changed**
- Fixed citation file (.cff).
- Fixed `hidrokit.__version__` invocation.
- Fixed lint, i.e., lines that are too long.

0.3.2

**Added**
- Added subpackage `.contrib.taruma` with the following modules:
- `.hk43`: convert pivot table to dataframe
- `.hk53`: create table/tensor for LSTM deep learning modeling
- `.hk73`: process files from bmkg
- Added subpackage `.contrib` for contributor-only code without CI checks.
- Added .cff file for citation and Zenodo reading.

**Changed**
- Changed the tag format from "v0.3.2" to "0.3.2" for automatic reading by Zenodo.

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