Python printing.pprint_thing方法代码示例

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def _make_plot(self):
        colors = self._get_colors()
        stacking_id = self._get_stacking_id()

        for i, (label, y) in enumerate(self._iter_data()):
            ax = self._get_ax(i)

            kwds = self.kwds.copy()

            label = pprint_thing(label)
            kwds['label'] = label

            style, kwds = self._apply_style_colors(colors, kwds, i, label)
            if style is not None:
                kwds['style'] = style

            kwds = self._make_plot_keywords(kwds, y)
            artists = self._plot(ax, y, column_num=i,
                                 stacking_id=stacking_id, **kwds)
            self._add_legend_handle(artists[0], label, index=i) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def test_pprint_thing(self):
        from pandas.io.formats.printing import pprint_thing as pp_t

        if PY3:
            pytest.skip("doesn't work on Python 3")

        assert pp_t('a') == u('a')
        assert pp_t(u('a')) == u('a')
        assert pp_t(None) == 'None'
        assert pp_t(u('\u05d0'), quote_strings=True) == u("u'\u05d0'")
        assert pp_t(u('\u05d0'), quote_strings=False) == u('\u05d0')
        assert (pp_t((u('\u05d0'), u('\u05d1')), quote_strings=True) ==
                u("(u'\u05d0', u'\u05d1')"))
        assert (pp_t((u('\u05d0'), (u('\u05d1'), u('\u05d2'))),
                     quote_strings=True) == u("(u'\u05d0', "
                                              "(u'\u05d1', u'\u05d2'))"))
        assert (pp_t(('foo', u('\u05d0'), (u('\u05d0'), u('\u05d0'))),
                     quote_strings=True) == u("(u'foo', u'\u05d0', "
                                              "(u'\u05d0', u'\u05d0'))"))

        # gh-2038: escape embedded tabs in string
        assert "\t" not in pp_t("a\tb", escape_chars=("\t", )) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def __unicode__(self):

        # don't want to print out all of the items here
        name = pprint_thing(self.__class__.__name__)
        if self._is_single_block:

            result = '{name}: {len} dtype: {dtype}'.format(
                name=name, len=len(self), dtype=self.dtype)

        else:

            shape = ' x '.join(pprint_thing(s) for s in self.shape)
            result = '{name}: {index}, {shape}, dtype: {dtype}'.format(
                name=name, index=pprint_thing(self.mgr_locs.indexer),
                shape=shape, dtype=self.dtype)

        return result 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def is_one_of_factory(legal_values):

    callables = [c for c in legal_values if callable(c)]
    legal_values = [c for c in legal_values if not callable(c)]

    def inner(x):
        from pandas.io.formats.printing import pprint_thing as pp
        if x not in legal_values:

            if not any(c(x) for c in callables):
                pp_values = pp("|".join(lmap(pp, legal_values)))
                msg = "Value must be one of {pp_values}"
                if len(callables):
                    msg += " or a callable"
                raise ValueError(msg.format(pp_values=pp_values))

    return inner


# common type validators, for convenience
# usage: register_option(... , validator = is_int) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def _write_cell(self, s, kind='td', indent=0, tags=None):
        if tags is not None:
            start_tag = '<{kind} {tags}>'.format(kind=kind, tags=tags)
        else:
            start_tag = '<{kind}>'.format(kind=kind)

        if self.escape:
            # escape & first to prevent double escaping of &
            esc = OrderedDict([('&', r'&amp;'), ('<', r'&lt;'),
                               ('>', r'&gt;')])
        else:
            esc = {}

        rs = pprint_thing(s, escape_chars=esc).strip()

        if self.render_links and _is_url(rs):
            rs_unescaped = pprint_thing(s, escape_chars={}).strip()
            start_tag += '<a href="{url}" target="_blank">'.format(
                url=rs_unescaped)
            end_a = '</a>'
        else:
            end_a = ''

        self.write(u'{start}{rs}{end_a}</{kind}>'.format(
            start=start_tag, rs=rs, end_a=end_a, kind=kind), indent) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def writerow(self, row):
            def _check_as_is(x):
                return (self.quoting == csv.QUOTE_NONNUMERIC and
                        is_number(x)) or isinstance(x, str)

            row = [x if _check_as_is(x)
                   else pprint_thing(x).encode("utf-8") for x in row]

            self.writer.writerow([s for s in row])
            # Fetch UTF-8 output from the queue ...
            data = self.queue.getvalue()
            data = data.decode("utf-8")
            # ... and re-encode it into the target encoding
            data = self.encoder.encode(data)
            # write to the target stream
            self.stream.write(data)
            # empty queue
            self.queue.truncate(0) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def writerows(self, rows):
            def _check_as_is(x):
                return (self.quoting == csv.QUOTE_NONNUMERIC and
                        is_number(x)) or isinstance(x, str)

            for i, row in enumerate(rows):
                rows[i] = [x if _check_as_is(x)
                           else pprint_thing(x).encode("utf-8") for x in row]

            self.writer.writerows([[s for s in row] for row in rows])
            # Fetch UTF-8 output from the queue ...
            data = self.queue.getvalue()
            data = data.decode("utf-8")
            # ... and re-encode it into the target encoding
            data = self.encoder.encode(data)
            # write to the target stream
            self.stream.write(data)
            # empty queue
            self.queue.truncate(0) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def _post_plot_logic_common(self, ax, data):
        """Common post process for each axes"""

        def get_label(i):
            try:
                return pprint_thing(data.index[i])
            except Exception:
                return ''

        if self.orientation == 'vertical' or self.orientation is None:
            if self._need_to_set_index:
                xticklabels = [get_label(x) for x in ax.get_xticks()]
                ax.set_xticklabels(xticklabels)
            self._apply_axis_properties(ax.xaxis, rot=self.rot,
                                        fontsize=self.fontsize)
            self._apply_axis_properties(ax.yaxis, fontsize=self.fontsize)

            if hasattr(ax, 'right_ax'):
                self._apply_axis_properties(ax.right_ax.yaxis,
                                            fontsize=self.fontsize)

        elif self.orientation == 'horizontal':
            if self._need_to_set_index:
                yticklabels = [get_label(y) for y in ax.get_yticks()]
                ax.set_yticklabels(yticklabels)
            self._apply_axis_properties(ax.yaxis, rot=self.rot,
                                        fontsize=self.fontsize)
            self._apply_axis_properties(ax.xaxis, fontsize=self.fontsize)

            if hasattr(ax, 'right_ax'):
                self._apply_axis_properties(ax.right_ax.yaxis,
                                            fontsize=self.fontsize)
        else:  # pragma no cover
            raise ValueError 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def legend_title(self):
        if not isinstance(self.data.columns, ABCMultiIndex):
            name = self.data.columns.name
            if name is not None:
                name = pprint_thing(name)
            return name
        else:
            stringified = map(pprint_thing,
                              self.data.columns.names)
            return ','.join(stringified) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def _get_index_name(self):
        if isinstance(self.data.index, ABCMultiIndex):
            name = self.data.index.names
            if com._any_not_none(*name):
                name = ','.join(pprint_thing(x) for x in name)
            else:
                name = None
        else:
            name = self.data.index.name
            if name is not None:
                name = pprint_thing(name)

        return name 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def _post_plot_logic(self, ax, data):
        x, y = self.x, self.y
        ax.set_ylabel(pprint_thing(y))
        ax.set_xlabel(pprint_thing(x)) 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def _grouped_plot_by_column(plotf, data, columns=None, by=None,
                            numeric_only=True, grid=False,
                            figsize=None, ax=None, layout=None,
                            return_type=None, **kwargs):
    grouped = data.groupby(by)
    if columns is None:
        if not isinstance(by, (list, tuple)):
            by = [by]
        columns = data._get_numeric_data().columns.difference(by)
    naxes = len(columns)
    fig, axes = _subplots(naxes=naxes, sharex=True, sharey=True,
                          figsize=figsize, ax=ax, layout=layout)

    _axes = _flatten(axes)

    ax_values = []

    for i, col in enumerate(columns):
        ax = _axes[i]
        gp_col = grouped[col]
        keys, values = zip(*gp_col)
        re_plotf = plotf(keys, values, ax, **kwargs)
        ax.set_title(col)
        ax.set_xlabel(pprint_thing(by))
        ax_values.append(re_plotf)
        ax.grid(grid)

    from pandas.core.series import Series
    result = Series(ax_values, index=columns)

    # Return axes in multiplot case, maybe revisit later # 985
    if return_type is None:
        result = axes

    byline = by[0] if len(by) == 1 else by
    fig.suptitle('Boxplot grouped by {byline}'.format(byline=byline))
    fig.subplots_adjust(bottom=0.15, top=0.9, left=0.1, right=0.9, wspace=0.2)

    return result 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def _replot_ax(ax, freq, kwargs):
    data = getattr(ax, '_plot_data', None)

    # clear current axes and data
    ax._plot_data = []
    ax.clear()

    _decorate_axes(ax, freq, kwargs)

    lines = []
    labels = []
    if data is not None:
        for series, plotf, kwds in data:
            series = series.copy()
            idx = series.index.asfreq(freq, how='S')
            series.index = idx
            ax._plot_data.append((series, plotf, kwds))

            # for tsplot
            if isinstance(plotf, compat.string_types):
                from pandas.plotting._core import _plot_klass
                plotf = _plot_klass[plotf]._plot

            lines.append(plotf(ax, series.index._mpl_repr(),
                               series.values, **kwds)[0])
            labels.append(pprint_thing(series.name))

    return lines, labels 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def test_subplots(self):
        df = DataFrame(np.random.rand(10, 3),
                       index=list(string.ascii_letters[:10]))

        for kind in ['bar', 'barh', 'line', 'area']:
            axes = df.plot(kind=kind, subplots=True, sharex=True, legend=True)
            self._check_axes_shape(axes, axes_num=3, layout=(3, 1))
            assert axes.shape == (3, )

            for ax, column in zip(axes, df.columns):
                self._check_legend_labels(ax,
                                          labels=[pprint_thing(column)])

            for ax in axes[:-2]:
                self._check_visible(ax.xaxis)  # xaxis must be visible for grid
                self._check_visible(ax.get_xticklabels(), visible=False)
                self._check_visible(
                    ax.get_xticklabels(minor=True), visible=False)
                self._check_visible(ax.xaxis.get_label(), visible=False)
                self._check_visible(ax.get_yticklabels())

            self._check_visible(axes[-1].xaxis)
            self._check_visible(axes[-1].get_xticklabels())
            self._check_visible(axes[-1].get_xticklabels(minor=True))
            self._check_visible(axes[-1].xaxis.get_label())
            self._check_visible(axes[-1].get_yticklabels())

            axes = df.plot(kind=kind, subplots=True, sharex=False)
            for ax in axes:
                self._check_visible(ax.xaxis)
                self._check_visible(ax.get_xticklabels())
                self._check_visible(ax.get_xticklabels(minor=True))
                self._check_visible(ax.xaxis.get_label())
                self._check_visible(ax.get_yticklabels())

            axes = df.plot(kind=kind, subplots=True, legend=False)
            for ax in axes:
                assert ax.get_legend() is None 

# 需要导入模块: from pandas.io.formats import printing [as 别名]
# 或者: from pandas.io.formats.printing import pprint_thing [as 别名]
def test_boxplot(self):
        df = self.hist_df
        series = df['height']
        numeric_cols = df._get_numeric_data().columns
        labels = [pprint_thing(c) for c in numeric_cols]

        ax = _check_plot_works(df.plot.box)
        self._check_text_labels(ax.get_xticklabels(), labels)
        tm.assert_numpy_array_equal(ax.xaxis.get_ticklocs(),
                                    np.arange(1, len(numeric_cols) + 1))
        assert len(ax.lines) == self.bp_n_objects * len(numeric_cols)

        # different warning on py3
        if not PY3:
            with tm.assert_produces_warning(UserWarning):
                axes = _check_plot_works(df.plot.box, subplots=True, logy=True)

            self._check_axes_shape(axes, axes_num=3, layout=(1, 3))
            self._check_ax_scales(axes, yaxis='log')
            for ax, label in zip(axes, labels):
                self._check_text_labels(ax.get_xticklabels(), [label])
                assert len(ax.lines) == self.bp_n_objects

        axes = series.plot.box(rot=40)
        self._check_ticks_props(axes, xrot=40, yrot=0)
        tm.close()

        ax = _check_plot_works(series.plot.box)

        positions = np.array([1, 6, 7])
        ax = df.plot.box(positions=positions)
        numeric_cols = df._get_numeric_data().columns
        labels = [pprint_thing(c) for c in numeric_cols]
        self._check_text_labels(ax.get_xticklabels(), labels)
        tm.assert_numpy_array_equal(ax.xaxis.get_ticklocs(), positions)
        assert len(ax.lines) == self.bp_n_objects * len(numeric_cols)