Pandas¶

class plotlywrapper.PandasPlotting(data)[source]¶

Pandas plotly charting methods.

Examples

Here’s an example of how to do that.

>>> df = pd.DataFrame([[1, 2], [1, 4]])
>>> chart = df.plotly.line()
>>> chart.show()

bar(label=None, mode='group', opacity=None, **kargs)[source]¶

Create a bar chart.

Parameters:	label (list of strings, optional) – list of labels to override column names mode (str, optional) – ‘group’ or ‘stack’
Returns:
Return type:	Chart

line(label=None, color=None, width=None, dash=None, opacity=None, mode='lines+markers', fill=None, **kargs)[source]¶: Create a line chart.

scatter(label=None, color=None, width=None, dash=None, opacity=None, mode='markers', **kargs)[source]¶

Create a bar chart.

Parameters:	label (list of strings, optional) – list of labels to override column names
Returns:
Return type:	Chart

sparklines(label=None, mode='lines', percent=90, epsilon=0.001)[source]¶

TODO: Docstring for sparklines.

Parameters:	label (array-like, optional) – mode (str, optional) – percent (number, optional) –
Returns:
Return type:	Chart

stack(mode='lines', label=None, **kargs)[source]¶

Create a stacked area plot.

Parameters:	mode (string, optional) – label (list of strings, optional) – list of labels to override column names
Returns:
Return type:	Chart