pandas-parallel-apply 0.1.0

Wrapper for df and df[col].apply parallelized

pandas-parallel-apply

df.apply(fn) and df[col].apply(fn) wrappers with tqdm included

Installation

pip install pandas-parallel-apply

Usage

Apply on each row of a dataframe

df.apply(fn) -> apply_on_df_parallel(df: pd.DataFrame, fn: Callable, n_cores: int, pbar: bool = True)

Apply on a column of a dataframe and return the Series

df[col].apply(fn) -> apply_on_df_col_parallel(df: pd.DataFrame, col_name: str, fn: Callable, n_cores: int, pbar: bool = True)

Switches for boolean parallel/non-parallel

apply_on_df_maybe_parallel(df: pd.DataFrame, fn: Callable, parallel: bool, n_cores: int, pbar: bool = True)

and

apply_on_df_col_maybe_parallel(df: pd.DataFrame, col_name: str, fn: Callable, parallel: bool, n_cores: int, pbar: bool = True)

That's all.