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Fix report_histogram does not show "horizontal" orientation (#699)
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@ -543,7 +543,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
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self._report(ev)
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def report_histogram(self, title, series, histogram, iter, labels=None, xlabels=None,
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xtitle=None, ytitle=None, comment=None, mode='group', layout_config=None):
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xtitle=None, ytitle=None, comment=None, mode='group', data_args=None, layout_config=None):
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"""
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Report an histogram bar plot
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:param title: Title (AKA metric)
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@ -565,6 +565,8 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
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:type comment: str
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:param mode: multiple histograms mode. valid options are: stack / group / relative. Default is 'group'.
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:type mode: str
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:param data_args: optional dictionary for data configuration, passed directly to plotly
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:type data_args: dict or None
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:param layout_config: optional dictionary for layout configuration, passed directly to plotly
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:type layout_config: dict or None
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"""
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@ -580,6 +582,7 @@ class Reporter(InterfaceBase, AbstractContextManager, SetupUploadMixin, AsyncMan
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xlabels=xlabels,
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comment=comment,
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mode=mode,
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data_args=data_args,
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layout_config=layout_config,
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)
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@ -221,8 +221,8 @@ class Logger(object):
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:param yaxis: The y-axis title. (Optional)
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:param mode: Multiple histograms mode, stack / group / relative. Default is 'group'.
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:param extra_layout: optional dictionary for layout configuration, passed directly to plotly
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See full details on the supported configuration: https://plotly.com/javascript/reference/bar/
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example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
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See full details on the supported configuration: https://plotly.com/javascript/reference/layout/
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example: extra_layout={'showlegend': False, 'plot_bgcolor': 'yellow'}
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"""
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self._touch_title_series(title, series)
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return self.report_histogram(title, series, values, iteration or 0, labels=labels, xlabels=xlabels,
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@ -239,6 +239,7 @@ class Logger(object):
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xaxis=None, # type: Optional[str]
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yaxis=None, # type: Optional[str]
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mode=None, # type: Optional[str]
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data_args=None, # type: Optional[dict]
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extra_layout=None, # type: Optional[dict]
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):
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"""
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@ -267,6 +268,9 @@ class Logger(object):
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:param xaxis: The x-axis title. (Optional)
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:param yaxis: The y-axis title. (Optional)
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:param mode: Multiple histograms mode, stack / group / relative. Default is 'group'.
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:param data_args: optional dictionary for data configuration, passed directly to plotly
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See full details on the supported configuration: https://plotly.com/javascript/reference/bar/
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example: data_args={'orientation': 'h', 'marker': {'color': 'blue'}}
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:param extra_layout: optional dictionary for layout configuration, passed directly to plotly
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See full details on the supported configuration: https://plotly.com/javascript/reference/bar/
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example: extra_layout={'xaxis': {'type': 'date', 'range': ['2020-01-01', '2020-01-31']}}
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@ -289,6 +293,7 @@ class Logger(object):
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xtitle=xaxis,
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ytitle=yaxis,
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mode=mode or 'group',
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data_args=data_args,
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layout_config=extra_layout,
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)
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@ -12,7 +12,7 @@ from attr import attrs, attrib
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def create_2d_histogram_plot(np_row_wise, labels, title=None, xtitle=None, ytitle=None, series=None, xlabels=None,
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comment=None, mode='group', layout_config=None):
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comment=None, mode='group', data_args=None, layout_config=None):
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"""
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Create a 2D Plotly histogram chart from a 2D numpy array
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:param np_row_wise: 2D numpy data array
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@ -20,8 +20,10 @@ def create_2d_histogram_plot(np_row_wise, labels, title=None, xtitle=None, ytitl
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:param title: Chart title
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:param xtitle: X-Series title
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:param ytitle: Y-Series title
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:param xlabels: The labels of the x axis.
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:param comment: comment underneath the title
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:param mode: multiple histograms mode. valid options are: stack / group / relative. Default is 'group'.
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:param data_args: optional extra data configuration
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:param layout_config: optional extra layout configuration
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:return: Plotly chart dict.
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"""
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@ -44,8 +46,9 @@ def create_2d_histogram_plot(np_row_wise, labels, title=None, xtitle=None, ytitl
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elif not labels and xlabels:
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labels = [series]
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data = [_np_row_to_plotly_data_item(np_row=np_row_wise[i, :], label=labels[i] if labels else None, xlabels=xlabels)
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for i in range(np_row_wise.shape[0])]
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data = [_np_row_to_plotly_data_item(
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np_row=np_row_wise[i, :], label=labels[i] if labels else None, xlabels=xlabels, data_args=data_args
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) for i in range(np_row_wise.shape[0])]
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return _plotly_hist_dict(title=series if use_series else title,
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xtitle=xtitle, ytitle=ytitle, mode=mode, data=data, comment=comment,
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layout_config=layout_config)
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@ -410,11 +413,13 @@ def _plotly_hist_dict(title, xtitle, ytitle, mode='group', data=None, comment=No
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return plotly_object
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def _np_row_to_plotly_data_item(np_row, label, xlabels=None):
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def _np_row_to_plotly_data_item(np_row, label, xlabels=None, data_args=None):
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"""
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Convert a numpy data row into a Plotly chart data item
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:param np_row: numpy 1D data row
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:param label: Item label
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:param xlabels: The labels of the x axis.
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:param dict data_args: Plotly data arguments
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:return: A plotly data item dict.
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"""
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bins = list(range(np_row.shape[0])) if xlabels is None else list(xlabels)
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@ -426,6 +431,8 @@ def _np_row_to_plotly_data_item(np_row, label, xlabels=None):
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# "text": mylabels,
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"type": "bar"
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}
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if data_args:
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this_trace_data.update(data_args)
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return this_trace_data
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