FM / methods

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
test_align.py	5359	0644	edit dl rm
test_append.py	9600	0644	edit dl rm
test_argsort.py	2249	0644	edit dl rm
test_asfreq.py	3616	0644	edit dl rm
test_asof.py	5515	0644	edit dl rm
test_astype.py	2628	0644	edit dl rm
test_at_time.py	2629	0644	edit dl rm
test_autocorr.py	999	0644	edit dl rm
test_between.py	1197	0644	edit dl rm
test_between_time.py	5086	0644	edit dl rm
test_clip.py	3384	0644	edit dl rm
test_combine.py	627	0644	edit dl rm
test_combine_first.py	3411	0644	edit dl rm
test_compare.py	3734	0644	edit dl rm
test_convert_dtypes.py	9914	0644	edit dl rm
test_count.py	1123	0644	edit dl rm
test_cov_corr.py	5215	0644	edit dl rm
test_describe.py	4640	0644	edit dl rm
test_diff.py	2331	0644	edit dl rm
test_drop.py	2986	0644	edit dl rm
test_droplevel.py	629	0644	edit dl rm
test_drop_duplicates.py	6850	0644	edit dl rm
test_duplicated.py	996	0644	edit dl rm
test_equals.py	1295	0644	edit dl rm
test_explode.py	3538	0644	edit dl rm
test_fillna.py	6513	0644	edit dl rm
test_first_and_last.py	2042	0644	edit dl rm
test_head_tail.py	343	0644	edit dl rm
test_interpolate.py	27757	0644	edit dl rm
test_isin.py	3445	0644	edit dl rm
test_nlargest.py	7121	0644	edit dl rm
test_pct_change.py	2968	0644	edit dl rm
test_quantile.py	6810	0644	edit dl rm
test_rank.py	20287	0644	edit dl rm
test_reindex_like.py	1245	0644	edit dl rm
test_rename.py	3378	0644	edit dl rm
test_rename_axis.py	1503	0644	edit dl rm
test_replace.py	15559	0644	edit dl rm
test_reset_index.py	4636	0644	edit dl rm
test_round.py	1970	0644	edit dl rm
test_searchsorted.py	2121	0644	edit dl rm
test_shift.py	12595	0644	edit dl rm
test_sort_index.py	12277	0644	edit dl rm
test_sort_values.py	7981	0644	edit dl rm
test_to_dict.py	742	0644	edit dl rm
test_to_period.py	1755	0644	edit dl rm
test_to_timestamp.py	2616	0644	edit dl rm
test_truncate.py	5557	0644	edit dl rm
test_tz_convert.py	1008	0644	edit dl rm
test_tz_localize.py	3108	0644	edit dl rm
test_unstack.py	4208	0644	edit dl rm
test_update.py	4213	0644	edit dl rm
test_value_counts.py	8136	0644	edit dl rm
__init__.py	225	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods/test_searchsorted.py (2121B)

import numpy as np

from pandas import Series, Timestamp, date_range
import pandas._testing as tm
from pandas.api.types import is_scalar

class TestSeriesSearchSorted:
    def test_searchsorted(self):
        ser = Series([1, 2, 3])

result = ser.searchsorted(1, side="left")
        assert is_scalar(result)
        assert result == 0

result = ser.searchsorted(1, side="right")
        assert is_scalar(result)
        assert result == 1

def test_searchsorted_numeric_dtypes_scalar(self):
        ser = Series([1, 2, 90, 1000, 3e9])
        res = ser.searchsorted(30)
        assert is_scalar(res)
        assert res == 2

res = ser.searchsorted([30])
        exp = np.array([2], dtype=np.intp)
        tm.assert_numpy_array_equal(res, exp)

def test_searchsorted_numeric_dtypes_vector(self):
        ser = Series([1, 2, 90, 1000, 3e9])
        res = ser.searchsorted([91, 2e6])
        exp = np.array([3, 4], dtype=np.intp)
        tm.assert_numpy_array_equal(res, exp)

def test_searchsorted_datetime64_scalar(self):
        ser = Series(date_range("20120101", periods=10, freq="2D"))
        val = Timestamp("20120102")
        res = ser.searchsorted(val)
        assert is_scalar(res)
        assert res == 1

def test_searchsorted_datetime64_scalar_mixed_timezones(self):
        # GH 30086
        ser = Series(date_range("20120101", periods=10, freq="2D", tz="UTC"))
        val = Timestamp("20120102", tz="America/New_York")
        res = ser.searchsorted(val)
        assert is_scalar(res)
        assert res == 1

def test_searchsorted_datetime64_list(self):
        ser = Series(date_range("20120101", periods=10, freq="2D"))
        vals = [Timestamp("20120102"), Timestamp("20120104")]
        res = ser.searchsorted(vals)
        exp = np.array([1, 2], dtype=np.intp)
        tm.assert_numpy_array_equal(res, exp)

def test_searchsorted_sorter(self):
        # GH8490
        ser = Series([3, 1, 2])
        res = ser.searchsorted([0, 3], sorter=np.argsort(ser))
        exp = np.array([0, 2], dtype=np.intp)
        tm.assert_numpy_array_equal(res, exp)

import numpy as np from pandas import Series, Timestamp, date_range import pandas._testing as tm from pandas.api.types import is_scalar class TestSeriesSearchSorted: def test_searchsorted(self): ser = Series([1, 2, 3]) result = ser.searchsorted(1, side="left") assert is_scalar(result) assert result == 0 result = ser.searchsorted(1, side="right") assert is_scalar(result) assert result == 1 def test_searchsorted_numeric_dtypes_scalar(self): ser = Series([1, 2, 90, 1000, 3e9]) res = ser.searchsorted(30) assert is_scalar(res) assert res == 2 res = ser.searchsorted([30]) exp = np.array([2], dtype=np.intp) tm.assert_numpy_array_equal(res, exp) def test_searchsorted_numeric_dtypes_vector(self): ser = Series([1, 2, 90, 1000, 3e9]) res = ser.searchsorted([91, 2e6]) exp = np.array([3, 4], dtype=np.intp) tm.assert_numpy_array_equal(res, exp) def test_searchsorted_datetime64_scalar(self): ser = Series(date_range("20120101", periods=10, freq="2D")) val = Timestamp("20120102") res = ser.searchsorted(val) assert is_scalar(res) assert res == 1 def test_searchsorted_datetime64_scalar_mixed_timezones(self): # GH 30086 ser = Series(date_range("20120101", periods=10, freq="2D", tz="UTC")) val = Timestamp("20120102", tz="America/New_York") res = ser.searchsorted(val) assert is_scalar(res) assert res == 1 def test_searchsorted_datetime64_list(self): ser = Series(date_range("20120101", periods=10, freq="2D")) vals = [Timestamp("20120102"), Timestamp("20120104")] res = ser.searchsorted(vals) exp = np.array([1, 2], dtype=np.intp) tm.assert_numpy_array_equal(res, exp) def test_searchsorted_sorter(self): # GH8490 ser = Series([3, 1, 2]) res = ser.searchsorted([0, 3], sorter=np.argsort(ser)) exp = np.array([0, 2], dtype=np.intp) tm.assert_numpy_array_equal(res, exp)