Python pandas.core.tools.datetimes.to_datetime() Examples

The following are 30 code examples of pandas.core.tools.datetimes.to_datetime(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.core.tools.datetimes , or try the search function .
Example #1
Source File: parse_dates.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def test_parse_tz_aware(self):
        # See gh-1693
        import pytz
        data = StringIO("Date,x\n2012-06-13T01:39:00Z,0.5")

        # it works
        result = self.read_csv(data, index_col=0, parse_dates=True)
        stamp = result.index[0]
        assert stamp.minute == 39
        try:
            assert result.index.tz is pytz.utc
        except AssertionError:  # hello Yaroslav
            arr = result.index.to_pydatetime()
            result = tools.to_datetime(arr, utc=True)[0]
            assert stamp.minute == result.minute
            assert stamp.hour == result.hour
            assert stamp.day == result.day
Example #2
Source File: sql.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def _handle_date_column(col, utc=None, format=None):
    if isinstance(format, dict):
        return to_datetime(col, errors='ignore', **format)
    else:
        # Allow passing of formatting string for integers
        # GH17855
        if format is None and (issubclass(col.dtype.type, np.floating) or
                               issubclass(col.dtype.type, np.integer)):
            format = 's'
        if format in ['D', 'd', 'h', 'm', 's', 'ms', 'us', 'ns']:
            return to_datetime(col, errors='coerce', unit=format, utc=utc)
        elif is_datetime64tz_dtype(col):
            # coerce to UTC timezone
            # GH11216
            return to_datetime(col, utc=True)
        else:
            return to_datetime(col, errors='coerce', format=format, utc=utc)
Example #3
Source File: sql.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def _handle_date_column(col, utc=None, format=None):
    if isinstance(format, dict):
        return to_datetime(col, errors='ignore', **format)
    else:
        # Allow passing of formatting string for integers
        # GH17855
        if format is None and (issubclass(col.dtype.type, np.floating) or
                               issubclass(col.dtype.type, np.integer)):
            format = 's'
        if format in ['D', 'd', 'h', 'm', 's', 'ms', 'us', 'ns']:
            return to_datetime(col, errors='coerce', unit=format, utc=utc)
        elif is_datetime64tz_dtype(col):
            # coerce to UTC timezone
            # GH11216
            return (to_datetime(col, errors='coerce')
                    .astype('datetime64[ns, UTC]'))
        else:
            return to_datetime(col, errors='coerce', format=format, utc=utc)
Example #4
Source File: parse_dates.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def test_parse_tz_aware(self):
        # See gh-1693
        import pytz
        data = StringIO("Date,x\n2012-06-13T01:39:00Z,0.5")

        # it works
        result = self.read_csv(data, index_col=0, parse_dates=True)
        stamp = result.index[0]
        assert stamp.minute == 39
        try:
            assert result.index.tz is pytz.utc
        except AssertionError:  # hello Yaroslav
            arr = result.index.to_pydatetime()
            result = tools.to_datetime(arr, utc=True)[0]
            assert stamp.minute == result.minute
            assert stamp.hour == result.hour
            assert stamp.day == result.day
Example #5
Source File: sql.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def _handle_date_column(col, utc=None, format=None):
    if isinstance(format, dict):
        return to_datetime(col, errors='ignore', **format)
    else:
        if format in ['D', 's', 'ms', 'us', 'ns']:
            return to_datetime(col, errors='coerce', unit=format, utc=utc)
        elif (issubclass(col.dtype.type, np.floating) or
              issubclass(col.dtype.type, np.integer)):
            # parse dates as timestamp
            format = 's' if format is None else format
            return to_datetime(col, errors='coerce', unit=format, utc=utc)
        elif is_datetime64tz_dtype(col):
            # coerce to UTC timezone
            # GH11216
            return (to_datetime(col, errors='coerce')
                    .astype('datetime64[ns, UTC]'))
        else:
            return to_datetime(col, errors='coerce', format=format, utc=utc)
Example #6
Source File: parse_dates.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_parse_tz_aware(self):
        # See gh-1693
        import pytz
        data = StringIO("Date,x\n2012-06-13T01:39:00Z,0.5")

        # it works
        result = self.read_csv(data, index_col=0, parse_dates=True)
        stamp = result.index[0]
        assert stamp.minute == 39
        try:
            assert result.index.tz is pytz.utc
        except AssertionError:  # hello Yaroslav
            arr = result.index.to_pydatetime()
            result = tools.to_datetime(arr, utc=True)[0]
            assert stamp.minute == result.minute
            assert stamp.hour == result.hour
            assert stamp.day == result.day
Example #7
Source File: sql.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def _handle_date_column(col, utc=None, format=None):
    if isinstance(format, dict):
        return to_datetime(col, errors='ignore', **format)
    else:
        # Allow passing of formatting string for integers
        # GH17855
        if format is None and (issubclass(col.dtype.type, np.floating) or
                               issubclass(col.dtype.type, np.integer)):
            format = 's'
        if format in ['D', 'd', 'h', 'm', 's', 'ms', 'us', 'ns']:
            return to_datetime(col, errors='coerce', unit=format, utc=utc)
        elif is_datetime64tz_dtype(col):
            # coerce to UTC timezone
            # GH11216
            return to_datetime(col, utc=True)
        else:
            return to_datetime(col, errors='coerce', format=format, utc=utc)
Example #8
Source File: test_frequencies.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_non_datetimeindex(self):
        dates = to_datetime(['1/1/2000', '1/2/2000', '1/3/2000'])
        assert frequencies.infer_freq(dates) == 'D'
Example #9
Source File: parsers.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def _make_date_converter(date_parser=None, dayfirst=False,
                         infer_datetime_format=False):
    def converter(*date_cols):
        if date_parser is None:
            strs = _concat_date_cols(date_cols)

            try:
                return tools.to_datetime(
                    ensure_object(strs),
                    utc=None,
                    box=False,
                    dayfirst=dayfirst,
                    errors='ignore',
                    infer_datetime_format=infer_datetime_format
                )
            except ValueError:
                return tools.to_datetime(
                    parsing.try_parse_dates(strs, dayfirst=dayfirst))
        else:
            try:
                result = tools.to_datetime(
                    date_parser(*date_cols), errors='ignore')
                if isinstance(result, datetime.datetime):
                    raise Exception('scalar parser')
                return result
            except Exception:
                try:
                    return tools.to_datetime(
                        parsing.try_parse_dates(_concat_date_cols(date_cols),
                                                parser=date_parser,
                                                dayfirst=dayfirst),
                        errors='ignore')
                except Exception:
                    return generic_parser(date_parser, *date_cols)

    return converter
Example #10
Source File: _converter.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def time2num(d):
    if isinstance(d, compat.string_types):
        parsed = tools.to_datetime(d)
        if not isinstance(parsed, datetime):
            raise ValueError('Could not parse time %s' % d)
        return _to_ordinalf(parsed.time())
    if isinstance(d, pydt.time):
        return _to_ordinalf(d)
    return d
Example #11
Source File: _converter.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def _convert_1d(values, unit, axis):
        def try_parse(values):
            try:
                return _dt_to_float_ordinal(tools.to_datetime(values))
            except Exception:
                return values

        if isinstance(values, (datetime, pydt.date)):
            return _dt_to_float_ordinal(values)
        elif isinstance(values, np.datetime64):
            return _dt_to_float_ordinal(lib.Timestamp(values))
        elif isinstance(values, pydt.time):
            return dates.date2num(values)
        elif (is_integer(values) or is_float(values)):
            return values
        elif isinstance(values, compat.string_types):
            return try_parse(values)
        elif isinstance(values, (list, tuple, np.ndarray, Index)):
            if isinstance(values, Index):
                values = values.values
            if not isinstance(values, np.ndarray):
                values = com._asarray_tuplesafe(values)

            if is_integer_dtype(values) or is_float_dtype(values):
                return values

            try:
                values = tools.to_datetime(values)
                if isinstance(values, Index):
                    values = _dt_to_float_ordinal(values)
                else:
                    values = [_dt_to_float_ordinal(x) for x in values]
            except Exception:
                values = _dt_to_float_ordinal(values)

        return values
Example #12
Source File: datetimes.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def to_datetime(self, dayfirst=False):
        return self.copy()
Example #13
Source File: datetimes.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def _generate_regular_range(start, end, periods, offset):
    if isinstance(offset, Tick):
        stride = offset.nanos
        if periods is None:
            b = Timestamp(start).value
            # cannot just use e = Timestamp(end) + 1 because arange breaks when
            # stride is too large, see GH10887
            e = (b + (Timestamp(end).value - b) // stride * stride +
                 stride // 2 + 1)
            # end.tz == start.tz by this point due to _generate implementation
            tz = start.tz
        elif start is not None:
            b = Timestamp(start).value
            e = b + np.int64(periods) * stride
            tz = start.tz
        elif end is not None:
            e = Timestamp(end).value + stride
            b = e - np.int64(periods) * stride
            tz = end.tz
        else:
            raise ValueError("at least 'start' or 'end' should be specified "
                             "if a 'period' is given.")

        data = np.arange(b, e, stride, dtype=np.int64)
        data = DatetimeIndex._simple_new(data, None, tz=tz)
    else:
        if isinstance(start, Timestamp):
            start = start.to_pydatetime()

        if isinstance(end, Timestamp):
            end = end.to_pydatetime()

        xdr = generate_range(start=start, end=end,
                             periods=periods, offset=offset)

        dates = list(xdr)
        # utc = len(dates) > 0 and dates[0].tzinfo is not None
        data = tools.to_datetime(dates)

    return data
Example #14
Source File: parsers.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def _make_date_converter(date_parser=None, dayfirst=False,
                         infer_datetime_format=False):
    def converter(*date_cols):
        if date_parser is None:
            strs = _concat_date_cols(date_cols)

            try:
                return tools.to_datetime(
                    _ensure_object(strs),
                    utc=None,
                    box=False,
                    dayfirst=dayfirst,
                    errors='ignore',
                    infer_datetime_format=infer_datetime_format
                )
            except:
                return tools.to_datetime(
                    parsing.try_parse_dates(strs, dayfirst=dayfirst))
        else:
            try:
                result = tools.to_datetime(
                    date_parser(*date_cols), errors='ignore')
                if isinstance(result, datetime.datetime):
                    raise Exception('scalar parser')
                return result
            except Exception:
                try:
                    return tools.to_datetime(
                        parsing.try_parse_dates(_concat_date_cols(date_cols),
                                                parser=date_parser,
                                                dayfirst=dayfirst),
                        errors='ignore')
                except Exception:
                    return generic_parser(date_parser, *date_cols)

    return converter
Example #15
Source File: _converter.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def time2num(d):
    if isinstance(d, compat.string_types):
        parsed = tools.to_datetime(d)
        if not isinstance(parsed, datetime):
            raise ValueError('Could not parse time %s' % d)
        return _to_ordinalf(parsed.time())
    if isinstance(d, pydt.time):
        return _to_ordinalf(d)
    return d
Example #16
Source File: _converter.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def _convert_1d(values, unit, axis):
        def try_parse(values):
            try:
                return _dt_to_float_ordinal(tools.to_datetime(values))
            except Exception:
                return values

        if isinstance(values, (datetime, pydt.date)):
            return _dt_to_float_ordinal(values)
        elif isinstance(values, np.datetime64):
            return _dt_to_float_ordinal(lib.Timestamp(values))
        elif isinstance(values, pydt.time):
            return dates.date2num(values)
        elif (is_integer(values) or is_float(values)):
            return values
        elif isinstance(values, compat.string_types):
            return try_parse(values)
        elif isinstance(values, (list, tuple, np.ndarray, Index)):
            if isinstance(values, Index):
                values = values.values
            if not isinstance(values, np.ndarray):
                values = com._asarray_tuplesafe(values)

            if is_integer_dtype(values) or is_float_dtype(values):
                return values

            try:
                values = tools.to_datetime(values)
                if isinstance(values, Index):
                    values = _dt_to_float_ordinal(values)
                else:
                    values = [_dt_to_float_ordinal(x) for x in values]
            except Exception:
                values = _dt_to_float_ordinal(values)

        return values
Example #17
Source File: test_combine_concat.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_combine_first_dt64(self):
        from pandas.core.tools.datetimes import to_datetime
        s0 = to_datetime(Series(["2010", np.NaN]))
        s1 = to_datetime(Series([np.NaN, "2011"]))
        rs = s0.combine_first(s1)
        xp = to_datetime(Series(['2010', '2011']))
        assert_series_equal(rs, xp)

        s0 = to_datetime(Series(["2010", np.NaN]))
        s1 = Series([np.NaN, "2011"])
        rs = s0.combine_first(s1)
        xp = Series([datetime(2010, 1, 1), '2011'])
        assert_series_equal(rs, xp)
Example #18
Source File: test_combine_concat.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_combine_first_dt64(self):
        from pandas.core.tools.datetimes import to_datetime
        s0 = to_datetime(Series(["2010", np.NaN]))
        s1 = to_datetime(Series([np.NaN, "2011"]))
        rs = s0.combine_first(s1)
        xp = to_datetime(Series(['2010', '2011']))
        assert_series_equal(rs, xp)

        s0 = to_datetime(Series(["2010", np.NaN]))
        s1 = Series([np.NaN, "2011"])
        rs = s0.combine_first(s1)
        xp = Series([datetime(2010, 1, 1), '2011'])
        assert_series_equal(rs, xp)
Example #19
Source File: test_frequencies.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_non_datetimeindex(self):
        dates = to_datetime(['1/1/2000', '1/2/2000', '1/3/2000'])
        assert frequencies.infer_freq(dates) == 'D'
Example #20
Source File: _converter.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def _convert_1d(values, unit, axis):
        def try_parse(values):
            try:
                return _dt_to_float_ordinal(tools.to_datetime(values))
            except Exception:
                return values

        if isinstance(values, (datetime, pydt.date)):
            return _dt_to_float_ordinal(values)
        elif isinstance(values, np.datetime64):
            return _dt_to_float_ordinal(tslibs.Timestamp(values))
        elif isinstance(values, pydt.time):
            return dates.date2num(values)
        elif (is_integer(values) or is_float(values)):
            return values
        elif isinstance(values, compat.string_types):
            return try_parse(values)
        elif isinstance(values, (list, tuple, np.ndarray, Index, ABCSeries)):
            if isinstance(values, ABCSeries):
                # https://github.com/matplotlib/matplotlib/issues/11391
                # Series was skipped. Convert to DatetimeIndex to get asi8
                values = Index(values)
            if isinstance(values, Index):
                values = values.values
            if not isinstance(values, np.ndarray):
                values = com.asarray_tuplesafe(values)

            if is_integer_dtype(values) or is_float_dtype(values):
                return values

            try:
                values = tools.to_datetime(values)
                if isinstance(values, Index):
                    values = _dt_to_float_ordinal(values)
                else:
                    values = [_dt_to_float_ordinal(x) for x in values]
            except Exception:
                values = _dt_to_float_ordinal(values)

        return values
Example #21
Source File: datetimes.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def _generate_regular_range(start, end, periods, offset):
    if isinstance(offset, Tick):
        stride = offset.nanos
        if periods is None:
            b = Timestamp(start).value
            # cannot just use e = Timestamp(end) + 1 because arange breaks when
            # stride is too large, see GH10887
            e = (b + (Timestamp(end).value - b) // stride * stride +
                 stride // 2 + 1)
            # end.tz == start.tz by this point due to _generate implementation
            tz = start.tz
        elif start is not None:
            b = Timestamp(start).value
            e = b + np.int64(periods) * stride
            tz = start.tz
        elif end is not None:
            e = Timestamp(end).value + stride
            b = e - np.int64(periods) * stride
            tz = end.tz
        else:
            raise ValueError("at least 'start' or 'end' should be specified "
                             "if a 'period' is given.")

        data = np.arange(b, e, stride, dtype=np.int64)
        data = DatetimeIndex._simple_new(data, None, tz=tz)
    else:
        if isinstance(start, Timestamp):
            start = start.to_pydatetime()

        if isinstance(end, Timestamp):
            end = end.to_pydatetime()

        xdr = generate_range(start=start, end=end,
                             periods=periods, offset=offset)

        dates = list(xdr)
        # utc = len(dates) > 0 and dates[0].tzinfo is not None
        data = tools.to_datetime(dates)

    return data
Example #22
Source File: _converter.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def _convert_1d(values, unit, axis):
        def try_parse(values):
            try:
                return _dt_to_float_ordinal(tools.to_datetime(values))
            except Exception:
                return values

        if isinstance(values, (datetime, pydt.date)):
            return _dt_to_float_ordinal(values)
        elif isinstance(values, np.datetime64):
            return _dt_to_float_ordinal(tslib.Timestamp(values))
        elif isinstance(values, pydt.time):
            return dates.date2num(values)
        elif (is_integer(values) or is_float(values)):
            return values
        elif isinstance(values, compat.string_types):
            return try_parse(values)
        elif isinstance(values, (list, tuple, np.ndarray, Index)):
            if isinstance(values, Index):
                values = values.values
            if not isinstance(values, np.ndarray):
                values = com._asarray_tuplesafe(values)

            if is_integer_dtype(values) or is_float_dtype(values):
                return values

            try:
                values = tools.to_datetime(values)
                if isinstance(values, Index):
                    values = _dt_to_float_ordinal(values)
                else:
                    values = [_dt_to_float_ordinal(x) for x in values]
            except Exception:
                values = _dt_to_float_ordinal(values)

        return values
Example #23
Source File: parsers.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def _make_date_converter(date_parser=None, dayfirst=False,
                         infer_datetime_format=False):
    def converter(*date_cols):
        if date_parser is None:
            strs = _concat_date_cols(date_cols)

            try:
                return tools.to_datetime(
                    _ensure_object(strs),
                    utc=None,
                    box=False,
                    dayfirst=dayfirst,
                    errors='ignore',
                    infer_datetime_format=infer_datetime_format
                )
            except:
                return tools.to_datetime(
                    parsing.try_parse_dates(strs, dayfirst=dayfirst))
        else:
            try:
                result = tools.to_datetime(
                    date_parser(*date_cols), errors='ignore')
                if isinstance(result, datetime.datetime):
                    raise Exception('scalar parser')
                return result
            except Exception:
                try:
                    return tools.to_datetime(
                        parsing.try_parse_dates(_concat_date_cols(date_cols),
                                                parser=date_parser,
                                                dayfirst=dayfirst),
                        errors='ignore')
                except Exception:
                    return generic_parser(date_parser, *date_cols)

    return converter
Example #24
Source File: _converter.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def time2num(d):
    if isinstance(d, compat.string_types):
        parsed = tools.to_datetime(d)
        if not isinstance(parsed, datetime):
            raise ValueError('Could not parse time {d}'.format(d=d))
        return _to_ordinalf(parsed.time())
    if isinstance(d, pydt.time):
        return _to_ordinalf(d)
    return d
Example #25
Source File: _converter.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def _convert_1d(values, unit, axis):
        def try_parse(values):
            try:
                return _dt_to_float_ordinal(tools.to_datetime(values))
            except Exception:
                return values

        if isinstance(values, (datetime, pydt.date)):
            return _dt_to_float_ordinal(values)
        elif isinstance(values, np.datetime64):
            return _dt_to_float_ordinal(tslibs.Timestamp(values))
        elif isinstance(values, pydt.time):
            return dates.date2num(values)
        elif (is_integer(values) or is_float(values)):
            return values
        elif isinstance(values, compat.string_types):
            return try_parse(values)
        elif isinstance(values, (list, tuple, np.ndarray, Index, ABCSeries)):
            if isinstance(values, ABCSeries):
                # https://github.com/matplotlib/matplotlib/issues/11391
                # Series was skipped. Convert to DatetimeIndex to get asi8
                values = Index(values)
            if isinstance(values, Index):
                values = values.values
            if not isinstance(values, np.ndarray):
                values = com.asarray_tuplesafe(values)

            if is_integer_dtype(values) or is_float_dtype(values):
                return values

            try:
                values = tools.to_datetime(values)
                if isinstance(values, Index):
                    values = _dt_to_float_ordinal(values)
                else:
                    values = [_dt_to_float_ordinal(x) for x in values]
            except Exception:
                values = _dt_to_float_ordinal(values)

        return values
Example #26
Source File: test_frequencies.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_non_datetimeindex(self):
        dates = to_datetime(['1/1/2000', '1/2/2000', '1/3/2000'])
        assert frequencies.infer_freq(dates) == 'D'
Example #27
Source File: _converter.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def time2num(d):
    if isinstance(d, compat.string_types):
        parsed = tools.to_datetime(d)
        if not isinstance(parsed, datetime):
            raise ValueError('Could not parse time {d}'.format(d=d))
        return _to_ordinalf(parsed.time())
    if isinstance(d, pydt.time):
        return _to_ordinalf(d)
    return d
Example #28
Source File: datetimes.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def _generate_regular_range(start, end, periods, freq):
    if isinstance(freq, Tick):
        stride = freq.nanos
        if periods is None:
            b = Timestamp(start).value
            # cannot just use e = Timestamp(end) + 1 because arange breaks when
            # stride is too large, see GH10887
            e = (b + (Timestamp(end).value - b) // stride * stride +
                 stride // 2 + 1)
            # end.tz == start.tz by this point due to _generate implementation
            tz = start.tz
        elif start is not None:
            b = Timestamp(start).value
            e = b + np.int64(periods) * stride
            tz = start.tz
        elif end is not None:
            e = Timestamp(end).value + stride
            b = e - np.int64(periods) * stride
            tz = end.tz
        else:
            raise ValueError("at least 'start' or 'end' should be specified "
                             "if a 'period' is given.")

        data = np.arange(b, e, stride, dtype=np.int64)
        data = DatetimeIndex._simple_new(data, None, tz=tz)
    else:
        if isinstance(start, Timestamp):
            start = start.to_pydatetime()

        if isinstance(end, Timestamp):
            end = end.to_pydatetime()

        xdr = generate_range(start=start, end=end,
                             periods=periods, offset=freq)

        dates = list(xdr)
        # utc = len(dates) > 0 and dates[0].tzinfo is not None
        data = tools.to_datetime(dates)

    return data
Example #29
Source File: _converter.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def time2num(d):
    if isinstance(d, compat.string_types):
        parsed = tools.to_datetime(d)
        if not isinstance(parsed, datetime):
            raise ValueError('Could not parse time {d}'.format(d=d))
        return _to_ordinalf(parsed.time())
    if isinstance(d, pydt.time):
        return _to_ordinalf(d)
    return d
Example #30
Source File: test_frequencies.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_non_datetimeindex(self):
        dates = to_datetime(['1/1/2000', '1/2/2000', '1/3/2000'])
        assert frequencies.infer_freq(dates) == 'D'