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fix: table.keep_only_columns now maps column names to correct data (#…
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…194)

Closes #115 .

### Summary of Changes

Fixed `table.keep_only_columns` to rearrange the column names correctly
Fixed grammar in two docs

---------

Co-authored-by: Lars Reimann <[email protected]>
Co-authored-by: megalinter-bot <[email protected]>
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3 people authored Apr 16, 2023
1 parent da928ea commit 459ab75
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11 changes: 3 additions & 8 deletions src/safeds/data/tabular/containers/_table.py
Original file line number Diff line number Diff line change
Expand Up @@ -129,14 +129,9 @@ def from_columns(columns: list[Column]) -> Table:
Raises
------
MissingDataError
If an empty list is given.
ColumnLengthMismatchError
If any of the column sizes does not match with the others.
"""
if len(columns) == 0:
raise MissingDataError("This function requires at least one column.")

dataframe: DataFrame = pd.DataFrame()

for column in columns:
Expand Down Expand Up @@ -566,7 +561,7 @@ def keep_only_columns(self, column_names: list[str]) -> Table:
Raises
------
ColumnNameError
If any of the given columns do not exist.
If any of the given columns does not exist.
"""
invalid_columns = []
column_indices = []
Expand All @@ -578,7 +573,7 @@ def keep_only_columns(self, column_names: list[str]) -> Table:
if len(invalid_columns) != 0:
raise UnknownColumnNameError(invalid_columns)
transformed_data = self._data[column_indices]
transformed_data.columns = [name for name in self._schema.get_column_names() if name in column_names]
transformed_data.columns = column_names
return Table(transformed_data)

def remove_columns(self, column_names: list[str]) -> Table:
Expand All @@ -598,7 +593,7 @@ def remove_columns(self, column_names: list[str]) -> Table:
Raises
------
ColumnNameError
If any of the given columns do not exist.
If any of the given columns does not exist.
"""
invalid_columns = []
column_indices = []
Expand Down
Original file line number Diff line number Diff line change
@@ -1,7 +1,5 @@
import pandas as pd
import pytest
from safeds.data.tabular.containers import Column, Table
from safeds.data.tabular.exceptions import MissingDataError

from tests.helpers import resolve_resource_path

Expand All @@ -15,8 +13,3 @@ def test_from_columns() -> None:
table_restored: Table = Table.from_columns(columns_table)

assert table_restored == table_expected


def test_from_columns_invalid() -> None:
with pytest.raises(MissingDataError):
Table.from_columns([])
Original file line number Diff line number Diff line change
@@ -1,18 +1,45 @@
import pytest
from safeds.data.tabular.containers import Table
from safeds.data.tabular.containers import Column, Table
from safeds.data.tabular.exceptions import UnknownColumnNameError

from tests.helpers import resolve_resource_path

class TestKeepOnlyColumns:
@pytest.mark.parametrize(
("table", "column_names", "expected"),
[
(
Table.from_columns([Column("A", [1]), Column("B", [2])]),
[],
Table.from_columns([]),
),
(
Table.from_columns([Column("A", [1]), Column("B", [2])]),
["A"],
Table.from_columns([Column("A", [1])]),
),
(
Table.from_columns([Column("A", [1]), Column("B", [2])]),
["B"],
Table.from_columns([Column("B", [2])]),
),
(
Table.from_columns([Column("A", [1]), Column("B", [2])]),
["A", "B"],
Table.from_columns([Column("A", [1]), Column("B", [2])]),
),
# Related to https://github.com/Safe-DS/Stdlib/issues/115
(
Table.from_columns([Column("A", [1]), Column("B", [2]), Column("C", [3])]),
["C", "A"],
Table.from_columns([Column("C", [3]), Column("A", [1])]),
),
],
)
def test_should_keep_only_listed_columns(self, table: Table, column_names: list[str], expected: Table) -> None:
transformed_table = table.keep_only_columns(column_names)
assert transformed_table == expected

def test_keep_columns() -> None:
table = Table.from_csv_file(resolve_resource_path("test_table_from_csv_file.csv"))
transformed_table = table.keep_only_columns(["A"])
assert transformed_table.schema.has_column("A")
assert not transformed_table.schema.has_column("B")


def test_keep_columns_warning() -> None:
table = Table.from_csv_file(resolve_resource_path("test_table_from_csv_file.csv"))
with pytest.raises(UnknownColumnNameError):
table.keep_only_columns(["C"])
def test_should_raise_if_column_does_no_exist(self) -> None:
table = Table.from_columns([Column("A", [1]), Column("B", [2])])
with pytest.raises(UnknownColumnNameError):
table.keep_only_columns(["C"])

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