hudf 0.0.2

Hopsworks User Defined Functions - Common utilities for feature engineering

HUDF - Hopsworks User Defined Functions

Common utilities and functions for feature engineering in Hopsworks.

Installation

pip install hudf

Quick Start

Time

• df: Input DataFrame
• columns: Column(s) to convert
• unit: Input unit ('us' for microseconds, 'ms' for milliseconds, 's' for seconds)
• inplace: Whether to modify DataFrame in place
• tz: Timezone for the output datetime (default UTC)

import pandas as pd
from hudf.time import to_epoch, from_epoch

# Convert to epoch
df = pd.DataFrame({
    'timestamp': pd.date_range('2024-01-01', periods=3),
    'str_date': ['2024-01-01', '2024-01-02', '2024-01-03']
})

# Convert both columns to seconds since epoch
df = to_epoch(df, ['timestamp', 'str_date'], unit='s')

# Convert back to datetime
df = from_epoch(df, ['timestamp', 'str_date'], unit='s', tz='Europe/London')