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setitem.py
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setitem.py
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import operator
import numpy as np
import pytest
import pandas as pd
import pandas.util.testing as tm
from .base import BaseExtensionTests
class BaseSetitemTests(BaseExtensionTests):
def test_setitem_scalar_series(self, data):
arr = pd.Series(data)
arr[0] = data[1]
assert arr[0] == data[1]
def test_setitem_sequence(self, data):
arr = pd.Series(data)
original = data.copy()
arr[[0, 1]] = [data[1], data[0]]
assert arr[0] == original[1]
assert arr[1] == original[0]
@pytest.mark.parametrize('as_array', [True, False])
def test_setitem_sequence_mismatched_length_raises(self, data, as_array):
ser = pd.Series(data)
value = [data[0]]
if as_array:
value = data._from_sequence(value)
xpr = 'cannot set using a {} indexer with a different length'
with tm.assert_raises_regex(ValueError, xpr.format('list-like')):
ser[[0, 1]] = value
with tm.assert_raises_regex(ValueError, xpr.format('slice')):
ser[slice(3)] = value
def test_setitem_empty_indxer(self, data):
ser = pd.Series(data)
original = ser.copy()
ser[[]] = []
self.assert_series_equal(ser, original)
def test_setitem_sequence_broadcasts(self, data):
arr = pd.Series(data)
arr[[0, 1]] = data[2]
assert arr[0] == data[2]
assert arr[1] == data[2]
@pytest.mark.parametrize('setter', ['loc', 'iloc'])
def test_setitem_scalar(self, data, setter):
arr = pd.Series(data)
setter = getattr(arr, setter)
operator.setitem(setter, 0, data[1])
assert arr[0] == data[1]
def test_setitem_loc_scalar_mixed(self, data):
df = pd.DataFrame({"A": np.arange(len(data)), "B": data})
df.loc[0, 'B'] = data[1]
assert df.loc[0, 'B'] == data[1]
def test_setitem_loc_scalar_single(self, data):
df = pd.DataFrame({"B": data})
df.loc[10, 'B'] = data[1]
assert df.loc[10, 'B'] == data[1]
def test_setitem_loc_scalar_multiple_homogoneous(self, data):
df = pd.DataFrame({"A": data, "B": data})
df.loc[10, 'B'] = data[1]
assert df.loc[10, 'B'] == data[1]
def test_setitem_iloc_scalar_mixed(self, data):
df = pd.DataFrame({"A": np.arange(len(data)), "B": data})
df.iloc[0, 1] = data[1]
assert df.loc[0, 'B'] == data[1]
def test_setitem_iloc_scalar_single(self, data):
df = pd.DataFrame({"B": data})
df.iloc[10, 0] = data[1]
assert df.loc[10, 'B'] == data[1]
def test_setitem_iloc_scalar_multiple_homogoneous(self, data):
df = pd.DataFrame({"A": data, "B": data})
df.iloc[10, 1] = data[1]
assert df.loc[10, 'B'] == data[1]
@pytest.mark.parametrize('as_callable', [True, False])
@pytest.mark.parametrize('setter', ['loc', None])
def test_setitem_mask_aligned(self, data, as_callable, setter):
ser = pd.Series(data)
mask = np.zeros(len(data), dtype=bool)
mask[:2] = True
if as_callable:
mask2 = lambda x: mask
else:
mask2 = mask
if setter:
# loc
target = getattr(ser, setter)
else:
# Series.__setitem__
target = ser
operator.setitem(target, mask2, data[5:7])
ser[mask2] = data[5:7]
assert ser[0] == data[5]
assert ser[1] == data[6]
@pytest.mark.parametrize('setter', ['loc', None])
def test_setitem_mask_broadcast(self, data, setter):
ser = pd.Series(data)
mask = np.zeros(len(data), dtype=bool)
mask[:2] = True
if setter: # loc
target = getattr(ser, setter)
else: # __setitem__
target = ser
operator.setitem(target, mask, data[10])
assert ser[0] == data[10]
assert ser[1] == data[10]
def test_setitem_expand_columns(self, data):
df = pd.DataFrame({"A": data})
result = df.copy()
result['B'] = 1
expected = pd.DataFrame({"A": data, "B": [1] * len(data)})
self.assert_frame_equal(result, expected)
result = df.copy()
result.loc[:, 'B'] = 1
self.assert_frame_equal(result, expected)
# overwrite with new type
result['B'] = data
expected = pd.DataFrame({"A": data, "B": data})
self.assert_frame_equal(result, expected)
def test_setitem_expand_with_extension(self, data):
df = pd.DataFrame({"A": [1] * len(data)})
result = df.copy()
result['B'] = data
expected = pd.DataFrame({"A": [1] * len(data), "B": data})
self.assert_frame_equal(result, expected)
result = df.copy()
result.loc[:, 'B'] = data
self.assert_frame_equal(result, expected)
def test_setitem_frame_invalid_length(self, data):
df = pd.DataFrame({"A": [1] * len(data)})
xpr = "Length of values does not match length of index"
with tm.assert_raises_regex(ValueError, xpr):
df['B'] = data[:5]
@pytest.mark.xfail(reason="GH-20441: setitem on extension types.")
def test_setitem_tuple_index(self, data):
s = pd.Series(data[:2], index=[(0, 0), (0, 1)])
expected = pd.Series(data.take([1, 1]), index=s.index)
s[(0, 1)] = data[1]
self.assert_series_equal(s, expected)