FM / methods

/usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods/

/usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
test_align.py	10339	0644	edit dl rm
test_append.py	7399	0644	edit dl rm
test_asfreq.py	1970	0644	edit dl rm
test_asof.py	5767	0644	edit dl rm
test_assign.py	2982	0644	edit dl rm
test_astype.py	21027	0644	edit dl rm
test_at_time.py	3205	0644	edit dl rm
test_between_time.py	3675	0644	edit dl rm
test_clip.py	6028	0644	edit dl rm
test_combine.py	1359	0644	edit dl rm
test_combine_first.py	12748	0644	edit dl rm
test_compare.py	6158	0644	edit dl rm
test_count.py	1068	0644	edit dl rm
test_cov_corr.py	11888	0644	edit dl rm
test_describe.py	12492	0644	edit dl rm
test_diff.py	7374	0644	edit dl rm
test_drop.py	15662	0644	edit dl rm
test_droplevel.py	855	0644	edit dl rm
test_drop_duplicates.py	13387	0644	edit dl rm
test_duplicated.py	3191	0644	edit dl rm
test_explode.py	5294	0644	edit dl rm
test_filter.py	4933	0644	edit dl rm
test_first_and_last.py	1803	0644	edit dl rm
test_head_tail.py	1194	0644	edit dl rm
test_interpolate.py	11816	0644	edit dl rm
test_isin.py	7324	0644	edit dl rm
test_nlargest.py	6731	0644	edit dl rm
test_pct_change.py	3436	0644	edit dl rm
test_pop.py	1226	0644	edit dl rm
test_quantile.py	18028	0644	edit dl rm
test_rank.py	11377	0644	edit dl rm
test_reindex_like.py	1187	0644	edit dl rm
test_rename.py	12543	0644	edit dl rm
test_rename_axis.py	4074	0644	edit dl rm
test_replace.py	59230	0644	edit dl rm
test_reset_index.py	12506	0644	edit dl rm
test_round.py	7916	0644	edit dl rm
test_select_dtypes.py	12104	0644	edit dl rm
test_set_index.py	19571	0644	edit dl rm
test_shift.py	10324	0644	edit dl rm
test_sort_index.py	25678	0644	edit dl rm
test_sort_values.py	25358	0644	edit dl rm
test_to_dict.py	9989	0644	edit dl rm
test_to_period.py	984	0644	edit dl rm
test_to_records.py	13981	0644	edit dl rm
test_to_timestamp.py	4020	0644	edit dl rm
test_transpose.py	2426	0644	edit dl rm
test_truncate.py	4180	0644	edit dl rm
test_tz_convert.py	3415	0644	edit dl rm
test_tz_localize.py	666	0644	edit dl rm
test_update.py	4259	0644	edit dl rm
test_value_counts.py	2631	0644	edit dl rm
__init__.py	229	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods/test_transpose.py (2426B)

import numpy as np

import pandas as pd
import pandas._testing as tm

class TestTranspose:
    def test_transpose_tzaware_1col_single_tz(self):
        # GH#26825
        dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC")

df = pd.DataFrame(dti)
        assert (df.dtypes == dti.dtype).all()
        res = df.T
        assert (res.dtypes == dti.dtype).all()

def test_transpose_tzaware_2col_single_tz(self):
        # GH#26825
        dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC")

df3 = pd.DataFrame({"A": dti, "B": dti})
        assert (df3.dtypes == dti.dtype).all()
        res3 = df3.T
        assert (res3.dtypes == dti.dtype).all()

def test_transpose_tzaware_2col_mixed_tz(self):
        # GH#26825
        dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC")
        dti2 = dti.tz_convert("US/Pacific")

df4 = pd.DataFrame({"A": dti, "B": dti2})
        assert (df4.dtypes == [dti.dtype, dti2.dtype]).all()
        assert (df4.T.dtypes == object).all()
        tm.assert_frame_equal(df4.T.T, df4)

def test_transpose_object_to_tzaware_mixed_tz(self):
        # GH#26825
        dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC")
        dti2 = dti.tz_convert("US/Pacific")

# mixed all-tzaware dtypes
        df2 = pd.DataFrame([dti, dti2])
        assert (df2.dtypes == object).all()
        res2 = df2.T
        assert (res2.dtypes == [dti.dtype, dti2.dtype]).all()

def test_transpose_uint64(self, uint64_frame):

result = uint64_frame.T
        expected = pd.DataFrame(uint64_frame.values.T)
        expected.index = ["A", "B"]
        tm.assert_frame_equal(result, expected)

def test_transpose_float(self, float_frame):
        frame = float_frame
        dft = frame.T
        for idx, series in dft.items():
            for col, value in series.items():
                if np.isnan(value):
                    assert np.isnan(frame[col][idx])
                else:
                    assert value == frame[col][idx]

# mixed type
        index, data = tm.getMixedTypeDict()
        mixed = pd.DataFrame(data, index=index)

mixed_T = mixed.T
        for col, s in mixed_T.items():
            assert s.dtype == np.object_

def test_transpose_get_view(self, float_frame):
        dft = float_frame.T
        dft.values[:, 5:10] = 5

assert (float_frame.values[5:10] == 5).all()

import numpy as np import pandas as pd import pandas._testing as tm class TestTranspose: def test_transpose_tzaware_1col_single_tz(self): # GH#26825 dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC") df = pd.DataFrame(dti) assert (df.dtypes == dti.dtype).all() res = df.T assert (res.dtypes == dti.dtype).all() def test_transpose_tzaware_2col_single_tz(self): # GH#26825 dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC") df3 = pd.DataFrame({"A": dti, "B": dti}) assert (df3.dtypes == dti.dtype).all() res3 = df3.T assert (res3.dtypes == dti.dtype).all() def test_transpose_tzaware_2col_mixed_tz(self): # GH#26825 dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC") dti2 = dti.tz_convert("US/Pacific") df4 = pd.DataFrame({"A": dti, "B": dti2}) assert (df4.dtypes == [dti.dtype, dti2.dtype]).all() assert (df4.T.dtypes == object).all() tm.assert_frame_equal(df4.T.T, df4) def test_transpose_object_to_tzaware_mixed_tz(self): # GH#26825 dti = pd.date_range("2016-04-05 04:30", periods=3, tz="UTC") dti2 = dti.tz_convert("US/Pacific") # mixed all-tzaware dtypes df2 = pd.DataFrame([dti, dti2]) assert (df2.dtypes == object).all() res2 = df2.T assert (res2.dtypes == [dti.dtype, dti2.dtype]).all() def test_transpose_uint64(self, uint64_frame): result = uint64_frame.T expected = pd.DataFrame(uint64_frame.values.T) expected.index = ["A", "B"] tm.assert_frame_equal(result, expected) def test_transpose_float(self, float_frame): frame = float_frame dft = frame.T for idx, series in dft.items(): for col, value in series.items(): if np.isnan(value): assert np.isnan(frame[col][idx]) else: assert value == frame[col][idx] # mixed type index, data = tm.getMixedTypeDict() mixed = pd.DataFrame(data, index=index) mixed_T = mixed.T for col, s in mixed_T.items(): assert s.dtype == np.object_ def test_transpose_get_view(self, float_frame): dft = float_frame.T dft.values[:, 5:10] = 5 assert (float_frame.values[5:10] == 5).all()