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Table.drop(filter=None, /)

Delete some of the table’s rows.
  • Parameters: filter (TableDropFilterCondition | None) – Rows where this condition evaluates to True will be deleted. If None, all the rows will be deleted.
  • Return type: None

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Example

>>> df = pd.DataFrame(
...     columns=["City", "Price"],
...     data=[
...         ("London", 240.0),
...         ("New York", 270.0),
...         ("Paris", 200.0),
...     ],
... )
>>> table = session.read_pandas(df, keys={"City"}, table_name="Cities")
>>> table.head().sort_index()
          Price
City
London    240.0
New York  270.0
Paris     200.0
>>> table.drop((table["City"] == "Paris") | (table["Price"] <= 250.0))
>>> table.head().sort_index()
          Price
City
New York  270.0
>>> table.drop()
>>> table.row_count
0