250 lines
8.3 KiB
Python
250 lines
8.3 KiB
Python
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# coding=utf-8
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# pylint: disable-msg=E1101,W0612
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from datetime import datetime
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import collections
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import pytest
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import numpy as np
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import pandas as pd
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from pandas import Series, DataFrame
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from pandas.compat import StringIO, u
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from pandas.io.common import _get_handle
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from pandas.util.testing import (assert_series_equal, assert_almost_equal,
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assert_frame_equal, ensure_clean)
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import pandas.util.testing as tm
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from .common import TestData
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class TestSeriesToCSV(TestData):
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def read_csv(self, path, **kwargs):
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params = dict(squeeze=True, index_col=0,
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header=None, parse_dates=True)
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params.update(**kwargs)
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header = params.get("header")
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out = pd.read_csv(path, **params)
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if header is None:
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out.name = out.index.name = None
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return out
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def test_from_csv_deprecation(self):
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# see gh-17812
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with ensure_clean() as path:
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self.ts.to_csv(path)
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with tm.assert_produces_warning(FutureWarning,
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check_stacklevel=False):
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ts = self.read_csv(path)
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depr_ts = Series.from_csv(path)
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assert_series_equal(depr_ts, ts)
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def test_from_csv(self):
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with ensure_clean() as path:
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self.ts.to_csv(path)
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ts = self.read_csv(path)
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assert_series_equal(self.ts, ts, check_names=False)
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assert ts.name is None
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assert ts.index.name is None
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with tm.assert_produces_warning(FutureWarning,
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check_stacklevel=False):
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depr_ts = Series.from_csv(path)
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assert_series_equal(depr_ts, ts)
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# see gh-10483
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self.ts.to_csv(path, header=True)
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ts_h = self.read_csv(path, header=0)
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assert ts_h.name == "ts"
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self.series.to_csv(path)
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series = self.read_csv(path)
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assert_series_equal(self.series, series, check_names=False)
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assert series.name is None
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assert series.index.name is None
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self.series.to_csv(path, header=True)
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series_h = self.read_csv(path, header=0)
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assert series_h.name == "series"
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outfile = open(path, "w")
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outfile.write("1998-01-01|1.0\n1999-01-01|2.0")
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outfile.close()
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series = self.read_csv(path, sep="|")
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check_series = Series({datetime(1998, 1, 1): 1.0,
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datetime(1999, 1, 1): 2.0})
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assert_series_equal(check_series, series)
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series = self.read_csv(path, sep="|", parse_dates=False)
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check_series = Series({"1998-01-01": 1.0, "1999-01-01": 2.0})
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assert_series_equal(check_series, series)
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def test_to_csv(self):
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import io
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with ensure_clean() as path:
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self.ts.to_csv(path)
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with io.open(path, newline=None) as f:
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lines = f.readlines()
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assert (lines[1] != '\n')
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self.ts.to_csv(path, index=False)
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arr = np.loadtxt(path)
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assert_almost_equal(arr, self.ts.values)
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def test_to_csv_unicode_index(self):
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buf = StringIO()
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s = Series([u("\u05d0"), "d2"], index=[u("\u05d0"), u("\u05d1")])
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s.to_csv(buf, encoding="UTF-8")
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buf.seek(0)
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s2 = self.read_csv(buf, index_col=0, encoding="UTF-8")
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assert_series_equal(s, s2)
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def test_to_csv_float_format(self):
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with ensure_clean() as filename:
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ser = Series([0.123456, 0.234567, 0.567567])
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ser.to_csv(filename, float_format="%.2f")
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rs = self.read_csv(filename)
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xp = Series([0.12, 0.23, 0.57])
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assert_series_equal(rs, xp)
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def test_to_csv_list_entries(self):
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s = Series(['jack and jill', 'jesse and frank'])
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split = s.str.split(r'\s+and\s+')
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buf = StringIO()
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split.to_csv(buf)
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def test_to_csv_path_is_none(self):
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# GH 8215
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# Series.to_csv() was returning None, inconsistent with
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# DataFrame.to_csv() which returned string
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s = Series([1, 2, 3])
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csv_str = s.to_csv(path=None)
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assert isinstance(csv_str, str)
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@pytest.mark.parametrize('s,encoding', [
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(Series([0.123456, 0.234567, 0.567567], index=['A', 'B', 'C'],
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name='X'), None),
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# GH 21241, 21118
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(Series(['abc', 'def', 'ghi'], name='X'), 'ascii'),
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(Series(["123", u"你好", u"世界"], name=u"中文"), 'gb2312'),
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(Series(["123", u"Γειά σου", u"Κόσμε"], name=u"Ελληνικά"), 'cp737')
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])
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def test_to_csv_compression(self, s, encoding, compression):
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with ensure_clean() as filename:
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s.to_csv(filename, compression=compression, encoding=encoding,
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header=True)
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# test the round trip - to_csv -> read_csv
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result = pd.read_csv(filename, compression=compression,
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encoding=encoding, index_col=0, squeeze=True)
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assert_series_equal(s, result)
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# test the round trip using file handle - to_csv -> read_csv
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f, _handles = _get_handle(filename, 'w', compression=compression,
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encoding=encoding)
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with f:
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s.to_csv(f, encoding=encoding, header=True)
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result = pd.read_csv(filename, compression=compression,
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encoding=encoding, index_col=0, squeeze=True)
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assert_series_equal(s, result)
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# explicitly ensure file was compressed
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with tm.decompress_file(filename, compression) as fh:
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text = fh.read().decode(encoding or 'utf8')
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assert s.name in text
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with tm.decompress_file(filename, compression) as fh:
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assert_series_equal(s, pd.read_csv(fh,
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index_col=0,
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squeeze=True,
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encoding=encoding))
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class TestSeriesIO(TestData):
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def test_to_frame(self):
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self.ts.name = None
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rs = self.ts.to_frame()
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xp = pd.DataFrame(self.ts.values, index=self.ts.index)
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assert_frame_equal(rs, xp)
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self.ts.name = 'testname'
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rs = self.ts.to_frame()
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xp = pd.DataFrame(dict(testname=self.ts.values), index=self.ts.index)
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assert_frame_equal(rs, xp)
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rs = self.ts.to_frame(name='testdifferent')
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xp = pd.DataFrame(
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dict(testdifferent=self.ts.values), index=self.ts.index)
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assert_frame_equal(rs, xp)
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def test_timeseries_periodindex(self):
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# GH2891
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from pandas import period_range
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prng = period_range('1/1/2011', '1/1/2012', freq='M')
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ts = Series(np.random.randn(len(prng)), prng)
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new_ts = tm.round_trip_pickle(ts)
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assert new_ts.index.freq == 'M'
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def test_pickle_preserve_name(self):
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for n in [777, 777., 'name', datetime(2001, 11, 11), (1, 2)]:
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unpickled = self._pickle_roundtrip_name(tm.makeTimeSeries(name=n))
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assert unpickled.name == n
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def _pickle_roundtrip_name(self, obj):
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with ensure_clean() as path:
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obj.to_pickle(path)
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unpickled = pd.read_pickle(path)
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return unpickled
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def test_to_frame_expanddim(self):
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# GH 9762
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class SubclassedSeries(Series):
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@property
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def _constructor_expanddim(self):
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return SubclassedFrame
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class SubclassedFrame(DataFrame):
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pass
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s = SubclassedSeries([1, 2, 3], name='X')
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result = s.to_frame()
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assert isinstance(result, SubclassedFrame)
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expected = SubclassedFrame({'X': [1, 2, 3]})
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assert_frame_equal(result, expected)
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@pytest.mark.parametrize('mapping', (
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dict,
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collections.defaultdict(list),
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collections.OrderedDict))
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def test_to_dict(self, mapping):
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# GH16122
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ts = TestData().ts
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tm.assert_series_equal(
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Series(ts.to_dict(mapping), name='ts'), ts)
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from_method = Series(ts.to_dict(collections.Counter))
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from_constructor = Series(collections.Counter(ts.iteritems()))
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tm.assert_series_equal(from_method, from_constructor)
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