259 lines
9.5 KiB
Python
259 lines
9.5 KiB
Python
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import numpy as np
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import pytest
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import pandas as pd
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from pandas import DataFrame, DatetimeIndex, Index, Series, Timestamp, date_range
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import pandas._testing as tm
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class TestSeriesAppend:
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def test_append_preserve_name(self, datetime_series):
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result = datetime_series[:5].append(datetime_series[5:])
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assert result.name == datetime_series.name
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def test_append(self, datetime_series, string_series, object_series):
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appended_series = string_series.append(object_series)
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for idx, value in appended_series.items():
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if idx in string_series.index:
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assert value == string_series[idx]
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elif idx in object_series.index:
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assert value == object_series[idx]
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else:
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raise AssertionError("orphaned index!")
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msg = "Indexes have overlapping values:"
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with pytest.raises(ValueError, match=msg):
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datetime_series.append(datetime_series, verify_integrity=True)
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def test_append_many(self, datetime_series):
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pieces = [datetime_series[:5], datetime_series[5:10], datetime_series[10:]]
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result = pieces[0].append(pieces[1:])
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tm.assert_series_equal(result, datetime_series)
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def test_append_duplicates(self):
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# GH 13677
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s1 = Series([1, 2, 3])
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s2 = Series([4, 5, 6])
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exp = Series([1, 2, 3, 4, 5, 6], index=[0, 1, 2, 0, 1, 2])
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tm.assert_series_equal(s1.append(s2), exp)
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tm.assert_series_equal(pd.concat([s1, s2]), exp)
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# the result must have RangeIndex
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exp = Series([1, 2, 3, 4, 5, 6])
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tm.assert_series_equal(
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s1.append(s2, ignore_index=True), exp, check_index_type=True
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)
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tm.assert_series_equal(
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pd.concat([s1, s2], ignore_index=True), exp, check_index_type=True
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)
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msg = "Indexes have overlapping values:"
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with pytest.raises(ValueError, match=msg):
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s1.append(s2, verify_integrity=True)
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with pytest.raises(ValueError, match=msg):
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pd.concat([s1, s2], verify_integrity=True)
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def test_append_tuples(self):
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# GH 28410
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s = Series([1, 2, 3])
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list_input = [s, s]
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tuple_input = (s, s)
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expected = s.append(list_input)
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result = s.append(tuple_input)
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tm.assert_series_equal(expected, result)
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def test_append_dataframe_raises(self):
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# GH 31413
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df = DataFrame({"A": [1, 2], "B": [3, 4]})
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msg = "to_append should be a Series or list/tuple of Series, got DataFrame"
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with pytest.raises(TypeError, match=msg):
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df.A.append(df)
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with pytest.raises(TypeError, match=msg):
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df.A.append([df])
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class TestSeriesAppendWithDatetimeIndex:
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def test_append(self):
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rng = date_range("5/8/2012 1:45", periods=10, freq="5T")
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ts = Series(np.random.randn(len(rng)), rng)
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df = DataFrame(np.random.randn(len(rng), 4), index=rng)
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result = ts.append(ts)
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result_df = df.append(df)
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ex_index = DatetimeIndex(np.tile(rng.values, 2))
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tm.assert_index_equal(result.index, ex_index)
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tm.assert_index_equal(result_df.index, ex_index)
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appended = rng.append(rng)
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tm.assert_index_equal(appended, ex_index)
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appended = rng.append([rng, rng])
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ex_index = DatetimeIndex(np.tile(rng.values, 3))
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tm.assert_index_equal(appended, ex_index)
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# different index names
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rng1 = rng.copy()
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rng2 = rng.copy()
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rng1.name = "foo"
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rng2.name = "bar"
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assert rng1.append(rng1).name == "foo"
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assert rng1.append(rng2).name is None
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def test_append_tz(self):
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# see gh-2938
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rng = date_range("5/8/2012 1:45", periods=10, freq="5T", tz="US/Eastern")
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rng2 = date_range("5/8/2012 2:35", periods=10, freq="5T", tz="US/Eastern")
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rng3 = date_range("5/8/2012 1:45", periods=20, freq="5T", tz="US/Eastern")
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ts = Series(np.random.randn(len(rng)), rng)
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df = DataFrame(np.random.randn(len(rng), 4), index=rng)
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ts2 = Series(np.random.randn(len(rng2)), rng2)
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df2 = DataFrame(np.random.randn(len(rng2), 4), index=rng2)
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result = ts.append(ts2)
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result_df = df.append(df2)
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tm.assert_index_equal(result.index, rng3)
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tm.assert_index_equal(result_df.index, rng3)
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appended = rng.append(rng2)
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tm.assert_index_equal(appended, rng3)
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def test_append_tz_explicit_pytz(self):
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# see gh-2938
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from pytz import timezone as timezone
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rng = date_range(
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"5/8/2012 1:45", periods=10, freq="5T", tz=timezone("US/Eastern")
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)
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rng2 = date_range(
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"5/8/2012 2:35", periods=10, freq="5T", tz=timezone("US/Eastern")
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)
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rng3 = date_range(
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"5/8/2012 1:45", periods=20, freq="5T", tz=timezone("US/Eastern")
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)
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ts = Series(np.random.randn(len(rng)), rng)
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df = DataFrame(np.random.randn(len(rng), 4), index=rng)
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ts2 = Series(np.random.randn(len(rng2)), rng2)
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df2 = DataFrame(np.random.randn(len(rng2), 4), index=rng2)
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result = ts.append(ts2)
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result_df = df.append(df2)
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tm.assert_index_equal(result.index, rng3)
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tm.assert_index_equal(result_df.index, rng3)
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appended = rng.append(rng2)
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tm.assert_index_equal(appended, rng3)
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def test_append_tz_dateutil(self):
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# see gh-2938
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rng = date_range(
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"5/8/2012 1:45", periods=10, freq="5T", tz="dateutil/US/Eastern"
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)
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rng2 = date_range(
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"5/8/2012 2:35", periods=10, freq="5T", tz="dateutil/US/Eastern"
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)
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rng3 = date_range(
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"5/8/2012 1:45", periods=20, freq="5T", tz="dateutil/US/Eastern"
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)
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ts = Series(np.random.randn(len(rng)), rng)
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df = DataFrame(np.random.randn(len(rng), 4), index=rng)
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ts2 = Series(np.random.randn(len(rng2)), rng2)
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df2 = DataFrame(np.random.randn(len(rng2), 4), index=rng2)
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result = ts.append(ts2)
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result_df = df.append(df2)
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tm.assert_index_equal(result.index, rng3)
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tm.assert_index_equal(result_df.index, rng3)
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appended = rng.append(rng2)
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tm.assert_index_equal(appended, rng3)
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def test_series_append_aware(self):
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rng1 = date_range("1/1/2011 01:00", periods=1, freq="H", tz="US/Eastern")
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rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="US/Eastern")
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ser1 = Series([1], index=rng1)
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ser2 = Series([2], index=rng2)
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ts_result = ser1.append(ser2)
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exp_index = DatetimeIndex(
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["2011-01-01 01:00", "2011-01-01 02:00"], tz="US/Eastern", freq="H"
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)
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exp = Series([1, 2], index=exp_index)
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tm.assert_series_equal(ts_result, exp)
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assert ts_result.index.tz == rng1.tz
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rng1 = date_range("1/1/2011 01:00", periods=1, freq="H", tz="UTC")
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rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="UTC")
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ser1 = Series([1], index=rng1)
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ser2 = Series([2], index=rng2)
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ts_result = ser1.append(ser2)
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exp_index = DatetimeIndex(
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["2011-01-01 01:00", "2011-01-01 02:00"], tz="UTC", freq="H"
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)
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exp = Series([1, 2], index=exp_index)
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tm.assert_series_equal(ts_result, exp)
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utc = rng1.tz
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assert utc == ts_result.index.tz
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# GH#7795
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# different tz coerces to object dtype, not UTC
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rng1 = date_range("1/1/2011 01:00", periods=1, freq="H", tz="US/Eastern")
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rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="US/Central")
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ser1 = Series([1], index=rng1)
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ser2 = Series([2], index=rng2)
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ts_result = ser1.append(ser2)
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exp_index = Index(
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[
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Timestamp("1/1/2011 01:00", tz="US/Eastern"),
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Timestamp("1/1/2011 02:00", tz="US/Central"),
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]
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)
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exp = Series([1, 2], index=exp_index)
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tm.assert_series_equal(ts_result, exp)
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def test_series_append_aware_naive(self):
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rng1 = date_range("1/1/2011 01:00", periods=1, freq="H")
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rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="US/Eastern")
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ser1 = Series(np.random.randn(len(rng1)), index=rng1)
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ser2 = Series(np.random.randn(len(rng2)), index=rng2)
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ts_result = ser1.append(ser2)
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expected = ser1.index.astype(object).append(ser2.index.astype(object))
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assert ts_result.index.equals(expected)
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# mixed
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rng1 = date_range("1/1/2011 01:00", periods=1, freq="H")
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rng2 = range(100)
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ser1 = Series(np.random.randn(len(rng1)), index=rng1)
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ser2 = Series(np.random.randn(len(rng2)), index=rng2)
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ts_result = ser1.append(ser2)
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expected = ser1.index.astype(object).append(ser2.index)
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assert ts_result.index.equals(expected)
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def test_series_append_dst(self):
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rng1 = date_range("1/1/2016 01:00", periods=3, freq="H", tz="US/Eastern")
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rng2 = date_range("8/1/2016 01:00", periods=3, freq="H", tz="US/Eastern")
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ser1 = Series([1, 2, 3], index=rng1)
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ser2 = Series([10, 11, 12], index=rng2)
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ts_result = ser1.append(ser2)
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exp_index = DatetimeIndex(
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[
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"2016-01-01 01:00",
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"2016-01-01 02:00",
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"2016-01-01 03:00",
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"2016-08-01 01:00",
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"2016-08-01 02:00",
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"2016-08-01 03:00",
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],
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tz="US/Eastern",
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)
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exp = Series([1, 2, 3, 10, 11, 12], index=exp_index)
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tm.assert_series_equal(ts_result, exp)
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assert ts_result.index.tz == rng1.tz
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