Python generic.ABCMultiIndex方法代碼示例

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def _format_header_regular(self):
        has_aliases = isinstance(self.header, (tuple, list, np.ndarray, Index))
        if has_aliases or self.header:
            coloffset = 0

            if self.index:
                coloffset = 1
                if isinstance(self.df.index, ABCMultiIndex):
                    coloffset = len(self.df.index[0])

            colnames = self.columns
            if has_aliases:
                if len(self.header) != len(self.columns):
                    raise ValueError('Writing {cols} cols but got {alias} '
                                     'aliases'.format(cols=len(self.columns),
                                                      alias=len(self.header)))
                else:
                    colnames = self.header

            for colindex, colname in enumerate(colnames):
                yield ExcelCell(self.rowcounter, colindex + coloffset, colname,
                                self.header_style) 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def test_abc_types(self):
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
        assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
        assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
        assert isinstance(self.multi_index, gt.ABCMultiIndex)
        assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
        assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
        assert isinstance(self.period_index, gt.ABCPeriodIndex)
        assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
        assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
        assert isinstance(self.df, gt.ABCDataFrame)
        with catch_warnings(record=True):
            simplefilter('ignore', FutureWarning)
            assert isinstance(self.df.to_panel(), gt.ABCPanel)
        assert isinstance(self.sparse_series, gt.ABCSparseSeries)
        assert isinstance(self.sparse_array, gt.ABCSparseArray)
        assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
        assert isinstance(self.categorical, gt.ABCCategorical)
        assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)

        assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
        assert isinstance(pd.Period('2012', freq='A-DEC').freq,
                          gt.ABCDateOffset)
        assert not isinstance(pd.Period('2012', freq='A-DEC'),
                              gt.ABCDateOffset)
        assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
        assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval)

        assert isinstance(self.datetime_array, gt.ABCDatetimeArray)
        assert not isinstance(self.datetime_index, gt.ABCDatetimeArray)

        assert isinstance(self.timedelta_array, gt.ABCTimedeltaArray)
        assert not isinstance(self.timedelta_index, gt.ABCTimedeltaArray) 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def _write_body(self, indent):
        self.write('<tbody>', indent)
        fmt_values = {i: self.fmt._format_col(i) for i in range(self.ncols)}

        # write values
        if self.fmt.index and isinstance(self.frame.index, ABCMultiIndex):
            self._write_hierarchical_rows(
                fmt_values, indent + self.indent_delta)
        else:
            self._write_regular_rows(
                fmt_values, indent + self.indent_delta)

        self.write('</tbody>', indent) 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def write_style(self):
        # We use the "scoped" attribute here so that the desired
        # style properties for the data frame are not then applied
        # throughout the entire notebook.
        template_first = """\
            <style scoped>"""
        template_last = """\
            </style>"""
        template_select = """\
                .dataframe %s {
                    %s: %s;
                }"""
        element_props = [('tbody tr th:only-of-type',
                          'vertical-align',
                          'middle'),
                         ('tbody tr th',
                          'vertical-align',
                          'top')]
        if isinstance(self.columns, ABCMultiIndex):
            element_props.append(('thead tr th',
                                  'text-align',
                                  'left'))
            if self.show_row_idx_names:
                element_props.append(('thead tr:last-of-type th',
                                      'text-align',
                                      'right'))
        else:
            element_props.append(('thead th',
                                  'text-align',
                                  'right'))
        template_mid = '\n\n'.join(map(lambda t: template_select % t,
                                       element_props))
        template = dedent('\n'.join((template_first,
                                     template_mid,
                                     template_last)))
        self.write(template) 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def _format_body(self):

        if isinstance(self.df.index, ABCMultiIndex):
            return self._format_hierarchical_rows()
        else:
            return self._format_regular_rows() 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def _format_regular_rows(self):
        has_aliases = isinstance(self.header, (tuple, list, np.ndarray, Index))
        if has_aliases or self.header:
            self.rowcounter += 1

        # output index and index_label?
        if self.index:
            # check aliases
            # if list only take first as this is not a MultiIndex
            if (self.index_label and
                    isinstance(self.index_label, (list, tuple, np.ndarray,
                                                  Index))):
                index_label = self.index_label[0]
            # if string good to go
            elif self.index_label and isinstance(self.index_label, str):
                index_label = self.index_label
            else:
                index_label = self.df.index.names[0]

            if isinstance(self.columns, ABCMultiIndex):
                self.rowcounter += 1

            if index_label and self.header is not False:
                yield ExcelCell(self.rowcounter - 1, 0, index_label,
                                self.header_style)

            # write index_values
            index_values = self.df.index
            if isinstance(self.df.index, ABCPeriodIndex):
                index_values = self.df.index.to_timestamp()

            for idx, idxval in enumerate(index_values):
                yield ExcelCell(self.rowcounter + idx, 0, idxval,
                                self.header_style)

            coloffset = 1
        else:
            coloffset = 0

        for cell in self._generate_body(coloffset):
            yield cell 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def test_abc_types(self):
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
        assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
        assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
        assert isinstance(self.multi_index, gt.ABCMultiIndex)
        assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
        assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
        assert isinstance(self.period_index, gt.ABCPeriodIndex)
        assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
        assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
        assert isinstance(self.df, gt.ABCDataFrame)
        with catch_warnings(record=True):
            assert isinstance(self.df.to_panel(), gt.ABCPanel)
        assert isinstance(self.sparse_series, gt.ABCSparseSeries)
        assert isinstance(self.sparse_array, gt.ABCSparseArray)
        assert isinstance(self.sparse_frame, gt.ABCSparseDataFrame)
        assert isinstance(self.categorical, gt.ABCCategorical)
        assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)

        assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
        assert isinstance(pd.Period('2012', freq='A-DEC').freq,
                          gt.ABCDateOffset)
        assert not isinstance(pd.Period('2012', freq='A-DEC'),
                              gt.ABCDateOffset)
        assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
        assert not isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCInterval) 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def test_abc_types(self):
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndex)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCInt64Index)
        assert isinstance(pd.UInt64Index([1, 2, 3]), gt.ABCUInt64Index)
        assert isinstance(pd.Float64Index([1, 2, 3]), gt.ABCFloat64Index)
        assert isinstance(self.multi_index, gt.ABCMultiIndex)
        assert isinstance(self.datetime_index, gt.ABCDatetimeIndex)
        assert isinstance(self.timedelta_index, gt.ABCTimedeltaIndex)
        assert isinstance(self.period_index, gt.ABCPeriodIndex)
        assert isinstance(self.categorical_df.index, gt.ABCCategoricalIndex)
        assert isinstance(pd.Index(['a', 'b', 'c']), gt.ABCIndexClass)
        assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
        assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
        assert isinstance(self.df, gt.ABCDataFrame)
        with catch_warnings(record=True):
            assert isinstance(self.df.to_panel(), gt.ABCPanel)
        assert isinstance(self.sparse_series, gt.ABCSparseSeries)
        assert isinstance(self.sparse_array, gt.ABCSparseArray)
        assert isinstance(self.categorical, gt.ABCCategorical)
        assert isinstance(pd.Period('2012', freq='A-DEC'), gt.ABCPeriod)

        assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
        assert isinstance(pd.Period('2012', freq='A-DEC').freq,
                          gt.ABCDateOffset)
        assert not isinstance(pd.Period('2012', freq='A-DEC'),
                              gt.ABCDateOffset) 

# 需要導入模塊: from pandas.core.dtypes import generic [as 別名]
# 或者: from pandas.core.dtypes.generic import ABCMultiIndex [as 別名]
def _format_header_mi(self):
        if self.columns.nlevels > 1:
            if not self.index:
                raise NotImplementedError("Writing to Excel with MultiIndex"
                                          " columns and no index "
                                          "('index'=False) is not yet "
                                          "implemented.")

        has_aliases = isinstance(self.header, (tuple, list, np.ndarray, Index))
        if not (has_aliases or self.header):
            return

        columns = self.columns
        level_strs = columns.format(sparsify=self.merge_cells, adjoin=False,
                                    names=False)
        level_lengths = get_level_lengths(level_strs)
        coloffset = 0
        lnum = 0

        if self.index and isinstance(self.df.index, ABCMultiIndex):
            coloffset = len(self.df.index[0]) - 1

        if self.merge_cells:
            # Format multi-index as a merged cells.
            for lnum in range(len(level_lengths)):
                name = columns.names[lnum]
                yield ExcelCell(lnum, coloffset, name, self.header_style)

            for lnum, (spans, levels, level_codes) in enumerate(zip(
                    level_lengths, columns.levels, columns.codes)):
                values = levels.take(level_codes)
                for i in spans:
                    if spans[i] > 1:
                        yield ExcelCell(lnum, coloffset + i + 1, values[i],
                                        self.header_style, lnum,
                                        coloffset + i + spans[i])
                    else:
                        yield ExcelCell(lnum, coloffset + i + 1, values[i],
                                        self.header_style)
        else:
            # Format in legacy format with dots to indicate levels.
            for i, values in enumerate(zip(*level_strs)):
                v = ".".join(map(pprint_thing, values))
                yield ExcelCell(lnum, coloffset + i + 1, v, self.header_style)

        self.rowcounter = lnum