Function to convert pandas DataFrame object into a single bulk insert SQL query (insert multiple rows at once).

df_to_sql_inserts.py

import pandas as pd
import re


def df_to_sql_bulk_insert(df: pd.DataFrame, table: str, **kwargs) -> str:
    """Converts DataFrame to bulk INSERT sql query
    >>> data = [(1, "_suffixnan", 1), (2, "Noneprefix", 0), (3, "fooNULLbar", 1, 2.34)]
    >>> df = pd.DataFrame(data, columns=["id", "name", "is_deleted", "balance"])
    >>> df
       id        name  is_deleted  balance
    0   1  _suffixnan           1      NaN
    1   2  Noneprefix           0      NaN
    2   3  fooNULLbar           1     2.34
    >>> query = df_to_sql_bulk_insert(df, "users", status="APPROVED", address=None)
    >>> print(query)
    INSERT INTO users (id, name, is_deleted, balance, status, address)
    VALUES (1, '_suffixnan', 1, NULL, 'APPROVED', NULL),
           (2, 'Noneprefix', 0, NULL, 'APPROVED', NULL),
           (3, 'fooNULLbar', 1, 2.34, 'APPROVED', NULL);
    """
    df = df.copy().assign(**kwargs).replace({True: 1, False: 0})
    columns = ", ".join(df.columns)
    tuples = map(str, df.itertuples(index=False, name=None))
    values = re.sub(r"(?<=\W)(nan|None)(?=\W)", "NULL", (",\n" + " " * 7).join(tuples))
    query = "INSERT INTO {} ({})\nVALUES {};"
    return query.format(table, columns, values)