plotlyextreme 0.0.4

Simple wrapper functions for plotly visualization package

PlotlyExtreme

Set of wrapper functions to abstract repetitive tasks related to plotting with the plotly library.

The plotly functions are passed as arguments to limit what this package has to handle.

Current Plots

Plot a Big Number

plots.create_big_number

Plot Four Dimensions using Buttons

plots.plot_four_dimensions

Example

import pandas as pd
from plotly.offline import iplot
import plotly.graph_objs as go
import plotly

from plotlyextreme import plots

df = pd.DataFrame({
                    'abc':[1000,5000,3000,1000,1000,1500,8000,1000],
                    'def':[4,5,6,4,6,4,6,4],
                    'ghi':['a', 'b', 'a', 'b', 'a', 'b', 'a', 'b'],
                    'jkl':['z', 'z', 'z', 'z', 'y', 'y', 'y', 'y'],
                    'annotation_one': ['a', 'a', 'a', 'a', 'a', 'a', 'a', 'a'],
                    'annotation_two': ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']
                  })

plots.create_big_number(title='abc', large_number=123, pacing=.7,
                        render_func=iplot)

plots.plot_four_dimensions(df, x='abc', y='def', title='alphabet',
                           segmentation_col='ghi',    button_col='jkl',
                           buttons=['z', 'y'], default_visibility='z',
                           trace_func=go.Scatter, render_func=iplot),
                           x_layout=go.layout.XAxis(tickformat=',d'))