Simple wrapper functions for plotly visualization package
Project description
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'))
Project details
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