Python pandas.DataFrame.boxplot() Examples

The following are 10 code examples of pandas.DataFrame.boxplot(). 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.DataFrame , or try the search function .
Example #1
Source File: _core.py    From vnpy_crypto with MIT License 6 votes vote down vote up 
def _plot(cls, ax, y, column_num=None, return_type='axes', **kwds):
        if y.ndim == 2:
            y = [remove_na_arraylike(v) for v in y]
            # Boxplot fails with empty arrays, so need to add a NaN
            #   if any cols are empty
            # GH 8181
            y = [v if v.size > 0 else np.array([np.nan]) for v in y]
        else:
            y = remove_na_arraylike(y)
        bp = ax.boxplot(y, **kwds)

        if return_type == 'dict':
            return bp, bp
        elif return_type == 'both':
            return cls.BP(ax=ax, lines=bp), bp
        else:
            return ax, bp
Example #2
Source File: _core.py    From Splunking-Crime with GNU Affero General Public License v3.0 6 votes vote down vote up 
def _plot(cls, ax, y, column_num=None, return_type='axes', **kwds):
        if y.ndim == 2:
            y = [remove_na_arraylike(v) for v in y]
            # Boxplot fails with empty arrays, so need to add a NaN
            #   if any cols are empty
            # GH 8181
            y = [v if v.size > 0 else np.array([np.nan]) for v in y]
        else:
            y = remove_na_arraylike(y)
        bp = ax.boxplot(y, **kwds)

        if return_type == 'dict':
            return bp, bp
        elif return_type == 'both':
            return cls.BP(ax=ax, lines=bp), bp
        else:
            return ax, bp
Example #3
Source File: _core.py    From elasticintel with GNU General Public License v3.0 6 votes vote down vote up 
def _plot(cls, ax, y, column_num=None, return_type='axes', **kwds):
        if y.ndim == 2:
            y = [remove_na_arraylike(v) for v in y]
            # Boxplot fails with empty arrays, so need to add a NaN
            #   if any cols are empty
            # GH 8181
            y = [v if v.size > 0 else np.array([np.nan]) for v in y]
        else:
            y = remove_na_arraylike(y)
        bp = ax.boxplot(y, **kwds)

        if return_type == 'dict':
            return bp, bp
        elif return_type == 'both':
            return cls.BP(ax=ax, lines=bp), bp
        else:
            return ax, bp
Example #4
Source File: _core.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def _plot(cls, ax, y, column_num=None, return_type='axes', **kwds):
        if y.ndim == 2:
            y = [remove_na_arraylike(v) for v in y]
            # Boxplot fails with empty arrays, so need to add a NaN
            #   if any cols are empty
            # GH 8181
            y = [v if v.size > 0 else np.array([np.nan]) for v in y]
        else:
            y = remove_na_arraylike(y)
        bp = ax.boxplot(y, **kwds)

        if return_type == 'dict':
            return bp, bp
        elif return_type == 'both':
            return cls.BP(ax=ax, lines=bp), bp
        else:
            return ax, bp
Example #5
Source File: _core.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def boxplot_frame(self, column=None, by=None, ax=None, fontsize=None, rot=0,
                  grid=True, figsize=None, layout=None,
                  return_type=None, **kwds):
    import matplotlib.pyplot as plt
    _converter._WARN = False
    ax = boxplot(self, column=column, by=by, ax=ax, fontsize=fontsize,
                 grid=grid, rot=rot, figsize=figsize, layout=layout,
                 return_type=return_type, **kwds)
    plt.draw_if_interactive()
    return ax
Example #6
Source File: _core.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def boxplot_frame(self, column=None, by=None, ax=None, fontsize=None, rot=0,
                  grid=True, figsize=None, layout=None,
                  return_type=None, **kwds):
    import matplotlib.pyplot as plt
    _converter._WARN = False
    ax = boxplot(self, column=column, by=by, ax=ax, fontsize=fontsize,
                 grid=grid, rot=rot, figsize=figsize, layout=layout,
                 return_type=return_type, **kwds)
    plt.draw_if_interactive()
    return ax
Example #7
Source File: _core.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def boxplot_frame(self, column=None, by=None, ax=None, fontsize=None, rot=0,
                  grid=True, figsize=None, layout=None,
                  return_type=None, **kwds):
    import matplotlib.pyplot as plt
    _setup()
    ax = boxplot(self, column=column, by=by, ax=ax, fontsize=fontsize,
                 grid=grid, rot=rot, figsize=figsize, layout=layout,
                 return_type=return_type, **kwds)
    plt.draw_if_interactive()
    return ax
Example #8
Source File: _core.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def boxplot_frame(self, column=None, by=None, ax=None, fontsize=None, rot=0,
                  grid=True, figsize=None, layout=None,
                  return_type=None, **kwds):
    import matplotlib.pyplot as plt
    _converter._WARN = False
    ax = boxplot(self, column=column, by=by, ax=ax, fontsize=fontsize,
                 grid=grid, rot=rot, figsize=figsize, layout=layout,
                 return_type=return_type, **kwds)
    plt.draw_if_interactive()
    return ax
Example #9
Source File: _core.py    From vnpy_crypto with MIT License 4 votes vote down vote up 
def box(self, by=None, **kwds):
        r"""
        Make a box plot of the DataFrame columns.

        A box plot is a method for graphically depicting groups of numerical
        data through their quartiles.
        The box extends from the Q1 to Q3 quartile values of the data,
        with a line at the median (Q2). The whiskers extend from the edges
        of box to show the range of the data. The position of the whiskers
        is set by default to 1.5*IQR (IQR = Q3 - Q1) from the edges of the
        box. Outlier points are those past the end of the whiskers.

        For further details see Wikipedia's
        entry for `boxplot <https://en.wikipedia.org/wiki/Box_plot>`__.

        A consideration when using this chart is that the box and the whiskers
        can overlap, which is very common when plotting small sets of data.

        Parameters
        ----------
        by : string or sequence
            Column in the DataFrame to group by.
        **kwds : optional
            Additional keywords are documented in
            :meth:`pandas.DataFrame.plot`.

        Returns
        -------
        axes : :class:`matplotlib.axes.Axes` or numpy.ndarray of them

        See Also
        --------
        pandas.DataFrame.boxplot: Another method to draw a box plot.
        pandas.Series.plot.box: Draw a box plot from a Series object.
        matplotlib.pyplot.boxplot: Draw a box plot in matplotlib.

        Examples
        --------
        Draw a box plot from a DataFrame with four columns of randomly
        generated data.

        .. plot::
            :context: close-figs

            >>> data = np.random.randn(25, 4)
            >>> df = pd.DataFrame(data, columns=list('ABCD'))
            >>> ax = df.plot.box()
        """
        return self(kind='box', by=by, **kwds)
Example #10
Source File: _core.py    From twitter-stock-recommendation with MIT License 4 votes vote down vote up 
def box(self, by=None, **kwds):
        r"""
        Make a box plot of the DataFrame columns.

        A box plot is a method for graphically depicting groups of numerical
        data through their quartiles.
        The box extends from the Q1 to Q3 quartile values of the data,
        with a line at the median (Q2). The whiskers extend from the edges
        of box to show the range of the data. The position of the whiskers
        is set by default to 1.5*IQR (IQR = Q3 - Q1) from the edges of the
        box. Outlier points are those past the end of the whiskers.

        For further details see Wikipedia's
        entry for `boxplot <https://en.wikipedia.org/wiki/Box_plot>`__.

        A consideration when using this chart is that the box and the whiskers
        can overlap, which is very common when plotting small sets of data.

        Parameters
        ----------
        by : string or sequence
            Column in the DataFrame to group by.
        **kwds : optional
            Additional keywords are documented in
            :meth:`pandas.DataFrame.plot`.

        Returns
        -------
        axes : :class:`matplotlib.axes.Axes` or numpy.ndarray of them

        See Also
        --------
        pandas.DataFrame.boxplot: Another method to draw a box plot.
        pandas.Series.plot.box: Draw a box plot from a Series object.
        matplotlib.pyplot.boxplot: Draw a box plot in matplotlib.

        Examples
        --------
        Draw a box plot from a DataFrame with four columns of randomly
        generated data.

        .. plot::
            :context: close-figs

            >>> data = np.random.randn(25, 4)
            >>> df = pd.DataFrame(data, columns=list('ABCD'))
            >>> ax = df.plot.box()
        """
        return self(kind='box', by=by, **kwds)