### Instalasi melalui PyPI
!pip install hidrokit

### Instalasi melalui Github
# !pip install git+https://github.com/taruma/hidrokit.git

### Instalasi melalui Github (Latest)
# !pip install git+https://github.com/taruma/hidrokit.git@latest

import numpy as np
import pandas as pd

# Buat dataset menggunakan numpy

np.random.seed(110891)
date_index = pd.date_range('20190101', '20191231')
data = np.random.rand(len(date_index), 7) * 100
columns = 'a b c d e f g'.split()
dataset = pd.DataFrame(
    data=data.round(),
    columns=columns,
    index=date_index.strftime('%Y-%b-%d')
)
dataset.head(10)

# Info Dataset
dataset.info()

from hidrokit.prep import timeseries

tabel_ts = timeseries.timestep_table(dataset)
tabel_ts.head()

tabel_ts_columns = timeseries.timestep_table(dataset, columns=['a', 'c', 'd'])
tabel_ts_columns.head()

tabel_ts_keep = timeseries.timestep_table(dataset, columns=['a', 'b', 'c'], keep_first=False)
tabel_ts_keep.head()

tabel_ts_time = timeseries.timestep_table(dataset, columns='a', keep_first=False, timesteps=4)
tabel_ts_time.head()