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reshaping.py
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import numpy as np
import pytest
import pandas as pd
from pandas.core.internals import ExtensionBlock
from .base import BaseExtensionTests
class BaseReshapingTests(BaseExtensionTests):
"""Tests for reshaping and concatenation."""
@pytest.mark.parametrize('in_frame', [True, False])
def test_concat(self, data, in_frame):
wrapped = pd.Series(data)
if in_frame:
wrapped = pd.DataFrame(wrapped)
result = pd.concat([wrapped, wrapped], ignore_index=True)
assert len(result) == len(data) * 2
if in_frame:
dtype = result.dtypes[0]
else:
dtype = result.dtype
assert dtype == data.dtype
assert isinstance(result._data.blocks[0], ExtensionBlock)
@pytest.mark.parametrize('in_frame', [True, False])
def test_concat_all_na_block(self, data_missing, in_frame):
valid_block = pd.Series(data_missing.take([1, 1]), index=[0, 1])
na_block = pd.Series(data_missing.take([0, 0]), index=[2, 3])
if in_frame:
valid_block = pd.DataFrame({"a": valid_block})
na_block = pd.DataFrame({"a": na_block})
result = pd.concat([valid_block, na_block])
if in_frame:
expected = pd.DataFrame({"a": data_missing.take([1, 1, 0, 0])})
self.assert_frame_equal(result, expected)
else:
expected = pd.Series(data_missing.take([1, 1, 0, 0]))
self.assert_series_equal(result, expected)
def test_concat_mixed_dtypes(self, data):
# https://github.com/pandas-dev/pandas/issues/20762
df1 = pd.DataFrame({'A': data[:3]})
df2 = pd.DataFrame({"A": [1, 2, 3]})
df3 = pd.DataFrame({"A": ['a', 'b', 'c']}).astype('category')
dfs = [df1, df2, df3]
# dataframes
result = pd.concat(dfs)
expected = pd.concat([x.astype(object) for x in dfs])
self.assert_frame_equal(result, expected)
# series
result = pd.concat([x['A'] for x in dfs])
expected = pd.concat([x['A'].astype(object) for x in dfs])
self.assert_series_equal(result, expected)
# simple test for just EA and one other
result = pd.concat([df1, df2])
expected = pd.concat([df1.astype('object'), df2.astype('object')])
self.assert_frame_equal(result, expected)
result = pd.concat([df1['A'], df2['A']])
expected = pd.concat([df1['A'].astype('object'),
df2['A'].astype('object')])
self.assert_series_equal(result, expected)
def test_concat_columns(self, data, na_value):
df1 = pd.DataFrame({'A': data[:3]})
df2 = pd.DataFrame({'B': [1, 2, 3]})
expected = pd.DataFrame({'A': data[:3], 'B': [1, 2, 3]})
result = pd.concat([df1, df2], axis=1)
self.assert_frame_equal(result, expected)
result = pd.concat([df1['A'], df2['B']], axis=1)
self.assert_frame_equal(result, expected)
# non-aligned
df2 = pd.DataFrame({'B': [1, 2, 3]}, index=[1, 2, 3])
expected = pd.DataFrame({
'A': data._from_sequence(list(data[:3]) + [na_value],
dtype=data.dtype),
'B': [np.nan, 1, 2, 3]})
result = pd.concat([df1, df2], axis=1)
self.assert_frame_equal(result, expected)
result = pd.concat([df1['A'], df2['B']], axis=1)
self.assert_frame_equal(result, expected)
def test_align(self, data, na_value):
a = data[:3]
b = data[2:5]
r1, r2 = pd.Series(a).align(pd.Series(b, index=[1, 2, 3]))
# Assumes that the ctor can take a list of scalars of the type
e1 = pd.Series(data._from_sequence(list(a) + [na_value],
dtype=data.dtype))
e2 = pd.Series(data._from_sequence([na_value] + list(b),
dtype=data.dtype))
self.assert_series_equal(r1, e1)
self.assert_series_equal(r2, e2)
def test_align_frame(self, data, na_value):
a = data[:3]
b = data[2:5]
r1, r2 = pd.DataFrame({'A': a}).align(
pd.DataFrame({'A': b}, index=[1, 2, 3])
)
# Assumes that the ctor can take a list of scalars of the type
e1 = pd.DataFrame({'A': data._from_sequence(list(a) + [na_value],
dtype=data.dtype)})
e2 = pd.DataFrame({'A': data._from_sequence([na_value] + list(b),
dtype=data.dtype)})
self.assert_frame_equal(r1, e1)
self.assert_frame_equal(r2, e2)
def test_align_series_frame(self, data, na_value):
# https://github.com/pandas-dev/pandas/issues/20576
ser = pd.Series(data, name='a')
df = pd.DataFrame({"col": np.arange(len(ser) + 1)})
r1, r2 = ser.align(df)
e1 = pd.Series(data._from_sequence(list(data) + [na_value],
dtype=data.dtype),
name=ser.name)
self.assert_series_equal(r1, e1)
self.assert_frame_equal(r2, df)
def test_set_frame_expand_regular_with_extension(self, data):
df = pd.DataFrame({"A": [1] * len(data)})
df['B'] = data
expected = pd.DataFrame({"A": [1] * len(data), "B": data})
self.assert_frame_equal(df, expected)
def test_set_frame_expand_extension_with_regular(self, data):
df = pd.DataFrame({'A': data})
df['B'] = [1] * len(data)
expected = pd.DataFrame({"A": data, "B": [1] * len(data)})
self.assert_frame_equal(df, expected)
def test_set_frame_overwrite_object(self, data):
# https://github.com/pandas-dev/pandas/issues/20555
df = pd.DataFrame({"A": [1] * len(data)}, dtype=object)
df['A'] = data
assert df.dtypes['A'] == data.dtype
def test_merge(self, data, na_value):
# GH-20743
df1 = pd.DataFrame({'ext': data[:3], 'int1': [1, 2, 3],
'key': [0, 1, 2]})
df2 = pd.DataFrame({'int2': [1, 2, 3, 4], 'key': [0, 0, 1, 3]})
res = pd.merge(df1, df2)
exp = pd.DataFrame(
{'int1': [1, 1, 2], 'int2': [1, 2, 3], 'key': [0, 0, 1],
'ext': data._from_sequence([data[0], data[0], data[1]],
dtype=data.dtype)})
self.assert_frame_equal(res, exp[['ext', 'int1', 'key', 'int2']])
res = pd.merge(df1, df2, how='outer')
exp = pd.DataFrame(
{'int1': [1, 1, 2, 3, np.nan], 'int2': [1, 2, 3, np.nan, 4],
'key': [0, 0, 1, 2, 3],
'ext': data._from_sequence(
[data[0], data[0], data[1], data[2], na_value],
dtype=data.dtype)})
self.assert_frame_equal(res, exp[['ext', 'int1', 'key', 'int2']])