Hopara Python Library
Project description
Pyhopara
Pyhopara is the Hopara Python SDK. It's main purpose is to ingest data from Python/Pandas.
Install
pip install hopara
Before using Pyhopara you should setup your environment. This is achieved by installing the Hopara CLI and sign-in or sign-up:
npm install -g hopara
hopara signup
Basic usage:
import hopara as hp
hopara = hp.Hopara()
table = hp.Table('table_name')
table.add_column('column1', hp.ColumnType.INTEGER)
table.add_column('column2', hp.ColumnType.STRING)
hopara.create_table(table)
rows = [{'column1': 1, 'column2': 'a'},
{'column1': 2, 'column2': 'b'},
{'column1': 3, 'column2': 'c'}]
hopara.insert_rows(table, rows)
With pandas DataFrame:
import hopara as hp
import hopara.from_pandas as hpd
import pandas as pd
hopara = hp.Hopara()
df = pd.DataFrame({
'column1': [1, 2, 3],
'column2': ['a', 'b', 'c']
})
table = hpd.get_table('table_name', df)
hopara.create_table(table)
hopara.insert_rows(table, hpd.get_rows(df))
Please check the Hopara and Table sections for additional options.
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