Python pandas.plotting._core._plot_klass() Examples

The following are 7 code examples of pandas.plotting._core._plot_klass(). 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.plotting._core , or try the search function .
Example #1
Source File: _timeseries.py    From recruit with Apache License 2.0 5 votes vote down vote up 
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
Example #2
Source File: _timeseries.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
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
Example #3
Source File: _timeseries.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
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
Example #4
Source File: _timeseries.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
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
Example #5
Source File: _timeseries.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
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
Example #6
Source File: _timeseries.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
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
Example #7
Source File: _timeseries.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
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