Python Series.plot方法代碼示例

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_line_area_nan_series(self):
        values = [1, 2, np.nan, 3]
        s = Series(values)
        ts = Series(values, index=tm.makeDateIndex(k=4))

        for d in [s, ts]:
            ax = _check_plot_works(d.plot)
            masked = ax.lines[0].get_ydata()
            # remove nan for comparison purpose
            exp = np.array([1, 2, 3], dtype=np.float64)
            tm.assert_numpy_array_equal(np.delete(masked.data, 2), exp)
            tm.assert_numpy_array_equal(
                masked.mask, np.array([False, False, True, False]))

            expected = np.array([1, 2, 0, 3], dtype=np.float64)
            ax = _check_plot_works(d.plot, stacked=True)
            tm.assert_numpy_array_equal(ax.lines[0].get_ydata(), expected)
            ax = _check_plot_works(d.plot.area)
            tm.assert_numpy_array_equal(ax.lines[0].get_ydata(), expected)
            ax = _check_plot_works(d.plot.area, stacked=False)
            tm.assert_numpy_array_equal(ax.lines[0].get_ydata(), expected) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_hist_kde(self):

        _, ax = self.plt.subplots()
        ax = self.ts.plot.hist(logy=True, ax=ax)
        self._check_ax_scales(ax, yaxis='log')
        xlabels = ax.get_xticklabels()
        # ticks are values, thus ticklabels are blank
        self._check_text_labels(xlabels, [''] * len(xlabels))
        ylabels = ax.get_yticklabels()
        self._check_text_labels(ylabels, [''] * len(ylabels))

        _skip_if_no_scipy_gaussian_kde()
        _check_plot_works(self.ts.plot.kde)
        _check_plot_works(self.ts.plot.density)
        _, ax = self.plt.subplots()
        ax = self.ts.plot.kde(logy=True, ax=ax)
        self._check_ax_scales(ax, yaxis='log')
        xlabels = ax.get_xticklabels()
        self._check_text_labels(xlabels, [''] * len(xlabels))
        ylabels = ax.get_yticklabels()
        self._check_text_labels(ylabels, [''] * len(ylabels)) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_hist_kde(self):
        if not self.mpl_ge_1_5_0:
            pytest.skip("mpl is not supported")

        _, ax = self.plt.subplots()
        ax = self.ts.plot.hist(logy=True, ax=ax)
        self._check_ax_scales(ax, yaxis='log')
        xlabels = ax.get_xticklabels()
        # ticks are values, thus ticklabels are blank
        self._check_text_labels(xlabels, [''] * len(xlabels))
        ylabels = ax.get_yticklabels()
        self._check_text_labels(ylabels, [''] * len(ylabels))

        _skip_if_no_scipy_gaussian_kde()
        _check_plot_works(self.ts.plot.kde)
        _check_plot_works(self.ts.plot.density)
        _, ax = self.plt.subplots()
        ax = self.ts.plot.kde(logy=True, ax=ax)
        self._check_ax_scales(ax, yaxis='log')
        xlabels = ax.get_xticklabels()
        self._check_text_labels(xlabels, [''] * len(xlabels))
        ylabels = ax.get_yticklabels()
        self._check_text_labels(ylabels, [''] * len(ylabels)) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_kde_kwargs(self):
        _skip_if_no_scipy_gaussian_kde()
        if not self.mpl_ge_1_5_0:
            pytest.skip("mpl is not supported")

        sample_points = np.linspace(-100, 100, 20)
        _check_plot_works(self.ts.plot.kde, bw_method='scott', ind=20)
        _check_plot_works(self.ts.plot.kde, bw_method=None, ind=20)
        _check_plot_works(self.ts.plot.kde, bw_method=None, ind=np.int(20))
        _check_plot_works(self.ts.plot.kde, bw_method=.5, ind=sample_points)
        _check_plot_works(self.ts.plot.density, bw_method=.5,
                          ind=sample_points)
        _, ax = self.plt.subplots()
        ax = self.ts.plot.kde(logy=True, bw_method=.5, ind=sample_points,
                              ax=ax)
        self._check_ax_scales(ax, yaxis='log')
        self._check_text_labels(ax.yaxis.get_label(), 'Density') 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_hist_kde_color(self):
        if not self.mpl_ge_1_5_0:
            pytest.skip("mpl is not supported")

        _, ax = self.plt.subplots()
        ax = self.ts.plot.hist(logy=True, bins=10, color='b', ax=ax)
        self._check_ax_scales(ax, yaxis='log')
        assert len(ax.patches) == 10
        self._check_colors(ax.patches, facecolors=['b'] * 10)

        _skip_if_no_scipy_gaussian_kde()
        _, ax = self.plt.subplots()
        ax = self.ts.plot.kde(logy=True, color='r', ax=ax)
        self._check_ax_scales(ax, yaxis='log')
        lines = ax.get_lines()
        assert len(lines) == 1
        self._check_colors(lines, ['r']) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_time_series_plot_color_with_empty_kwargs(self):
        import matplotlib as mpl

        if self.mpl_ge_1_5_0:
            def_colors = self._maybe_unpack_cycler(mpl.rcParams)
        else:
            def_colors = mpl.rcParams['axes.color_cycle']
        index = date_range('1/1/2000', periods=12)
        s = Series(np.arange(1, 13), index=index)

        ncolors = 3

        _, ax = self.plt.subplots()
        for i in range(ncolors):
            ax = s.plot(ax=ax)
        self._check_colors(ax.get_lines(), linecolors=def_colors[:ncolors]) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_plot(self):
        _check_plot_works(self.ts.plot, label='foo')
        _check_plot_works(self.ts.plot, use_index=False)
        axes = _check_plot_works(self.ts.plot, rot=0)
        self._check_ticks_props(axes, xrot=0)

        ax = _check_plot_works(self.ts.plot, style='.', logy=True)
        self._check_ax_scales(ax, yaxis='log')

        ax = _check_plot_works(self.ts.plot, style='.', logx=True)
        self._check_ax_scales(ax, xaxis='log')

        ax = _check_plot_works(self.ts.plot, style='.', loglog=True)
        self._check_ax_scales(ax, xaxis='log', yaxis='log')

        _check_plot_works(self.ts[:10].plot.bar)
        _check_plot_works(self.ts.plot.area, stacked=False)
        _check_plot_works(self.iseries.plot)

        for kind in ['line', 'bar', 'barh', 'kde', 'hist', 'box']:
            if not _ok_for_gaussian_kde(kind):
                continue
            _check_plot_works(self.series[:5].plot, kind=kind)

        _check_plot_works(self.series[:10].plot.barh)
        ax = _check_plot_works(Series(randn(10)).plot.bar, color='black')
        self._check_colors([ax.patches[0]], facecolors=['black'])

        # GH 6951
        ax = _check_plot_works(self.ts.plot, subplots=True)
        self._check_axes_shape(ax, axes_num=1, layout=(1, 1))

        ax = _check_plot_works(self.ts.plot, subplots=True, layout=(-1, 1))
        self._check_axes_shape(ax, axes_num=1, layout=(1, 1))
        ax = _check_plot_works(self.ts.plot, subplots=True, layout=(1, -1))
        self._check_axes_shape(ax, axes_num=1, layout=(1, 1)) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_plot_figsize_and_title(self):
        # figsize and title
        _, ax = self.plt.subplots()
        ax = self.series.plot(title='Test', figsize=(16, 8), ax=ax)
        self._check_text_labels(ax.title, 'Test')
        self._check_axes_shape(ax, axes_num=1, layout=(1, 1), figsize=(16, 8)) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_dont_modify_rcParams(self):
        # GH 8242
        key = 'axes.prop_cycle'
        colors = self.plt.rcParams[key]
        _, ax = self.plt.subplots()
        Series([1, 2, 3]).plot(ax=ax)
        assert colors == self.plt.rcParams[key] 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_ts_line_lim(self):
        fig, ax = self.plt.subplots()
        ax = self.ts.plot(ax=ax)
        xmin, xmax = ax.get_xlim()
        lines = ax.get_lines()
        assert xmin <= lines[0].get_data(orig=False)[0][0]
        assert xmax >= lines[0].get_data(orig=False)[0][-1]
        tm.close()

        ax = self.ts.plot(secondary_y=True, ax=ax)
        xmin, xmax = ax.get_xlim()
        lines = ax.get_lines()
        assert xmin <= lines[0].get_data(orig=False)[0][0]
        assert xmax >= lines[0].get_data(orig=False)[0][-1] 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_ts_area_lim(self):
        _, ax = self.plt.subplots()
        ax = self.ts.plot.area(stacked=False, ax=ax)
        xmin, xmax = ax.get_xlim()
        line = ax.get_lines()[0].get_data(orig=False)[0]
        assert xmin <= line[0]
        assert xmax >= line[-1]
        tm.close()

        # GH 7471
        _, ax = self.plt.subplots()
        ax = self.ts.plot.area(stacked=False, x_compat=True, ax=ax)
        xmin, xmax = ax.get_xlim()
        line = ax.get_lines()[0].get_data(orig=False)[0]
        assert xmin <= line[0]
        assert xmax >= line[-1]
        tm.close()

        tz_ts = self.ts.copy()
        tz_ts.index = tz_ts.tz_localize('GMT').tz_convert('CET')
        _, ax = self.plt.subplots()
        ax = tz_ts.plot.area(stacked=False, x_compat=True, ax=ax)
        xmin, xmax = ax.get_xlim()
        line = ax.get_lines()[0].get_data(orig=False)[0]
        assert xmin <= line[0]
        assert xmax >= line[-1]
        tm.close()

        _, ax = self.plt.subplots()
        ax = tz_ts.plot.area(stacked=False, secondary_y=True, ax=ax)
        xmin, xmax = ax.get_xlim()
        line = ax.get_lines()[0].get_data(orig=False)[0]
        assert xmin <= line[0]
        assert xmax >= line[-1] 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_line_use_index_false(self):
        s = Series([1, 2, 3], index=['a', 'b', 'c'])
        s.index.name = 'The Index'
        _, ax = self.plt.subplots()
        ax = s.plot(use_index=False, ax=ax)
        label = ax.get_xlabel()
        assert label == ''
        _, ax = self.plt.subplots()
        ax2 = s.plot.bar(use_index=False, ax=ax)
        label2 = ax2.get_xlabel()
        assert label2 == '' 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_bar_log(self):
        expected = np.array([1e-1, 1e0, 1e1, 1e2, 1e3, 1e4])

        _, ax = self.plt.subplots()
        ax = Series([200, 500]).plot.bar(log=True, ax=ax)
        tm.assert_numpy_array_equal(ax.yaxis.get_ticklocs(), expected)
        tm.close()

        _, ax = self.plt.subplots()
        ax = Series([200, 500]).plot.barh(log=True, ax=ax)
        tm.assert_numpy_array_equal(ax.xaxis.get_ticklocs(), expected)
        tm.close()

        # GH 9905
        expected = np.array([1e-5, 1e-4, 1e-3, 1e-2, 1e-1, 1e0, 1e1])

        _, ax = self.plt.subplots()
        ax = Series([0.1, 0.01, 0.001]).plot(log=True, kind='bar', ax=ax)
        ymin = 0.0007943282347242822
        ymax = 0.12589254117941673
        res = ax.get_ylim()
        tm.assert_almost_equal(res[0], ymin)
        tm.assert_almost_equal(res[1], ymax)
        tm.assert_numpy_array_equal(ax.yaxis.get_ticklocs(), expected)
        tm.close()

        _, ax = self.plt.subplots()
        ax = Series([0.1, 0.01, 0.001]).plot(log=True, kind='barh', ax=ax)
        res = ax.get_xlim()
        tm.assert_almost_equal(res[0], ymin)
        tm.assert_almost_equal(res[1], ymax)
        tm.assert_numpy_array_equal(ax.xaxis.get_ticklocs(), expected) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_bar_ignore_index(self):
        df = Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])
        _, ax = self.plt.subplots()
        ax = df.plot.bar(use_index=False, ax=ax)
        self._check_text_labels(ax.get_xticklabels(), ['0', '1', '2', '3']) 

# 需要導入模塊: from pandas import Series [as 別名]
# 或者: from pandas.Series import plot [as 別名]
def test_bar_user_colors(self):
        s = Series([1, 2, 3, 4])
        ax = s.plot.bar(color=['red', 'blue', 'blue', 'red'])
        result = [p.get_facecolor() for p in ax.patches]
        expected = [(1., 0., 0., 1.),
                    (0., 0., 1., 1.),
                    (0., 0., 1., 1.),
                    (1., 0., 0., 1.)]
        assert result == expected