dataoutsider 1.0.6

Data visualization toolbox.

Welcome to the dataoutsider visualization toolbox!

Featuring

• pie_tree chart
• level plot

pie_tree

Need to display hierarchical density as pie-shaped areas?

1. Select [1 to n] categorical columns from a dataframe to group by
2. Configure the chart ordering and hierarchy orientation
3. The pie_tree chart will create a hierarchical set of areas sized by the number of rows in each group at each level

Example:

import dataoutsider as dr

df = dr.load_aircraft_df()
levels = ['Registrant', 'Aircraft', 'Engine', 'seats_bin']

inner_radius = 0.5
outer_radius = 2.0
starting_angle = 0.0
ending_angle = 360.0
point_resolution = 200
pie_tree_df = dr.pie_tree_calc(
    df, levels, 
    inner_radius, 
    outer_radius, 
    starting_angle, 
    ending_angle, 
    point_resolution)

dr.pie_tree_plot(pie_tree_df, 4)

Variations:

inner_radius = 0.0
outer_radius = 2.0

starting_angle = 0.0
ending_angle = 90.0

Extra Parameters:

Parameter	Values	Description
default_sort	True/False	Default: False, True: pandas sort, False: data sort
default_sort_override	True/False	Default: True, True: overrides default_sort
default_sort_override_reversed	True/False	Default: False, sort areas True: desc, False: asc
all_vertical	True/False	Default: False, True: break levels vertically, False: alternate

Plotting:

From the above example with 4 possible levels:

Level 3 only

dr.pie_tree_plot(pie_tree_df, 3)

Level 2 bold outline

Level 3 thin outline

dr.pie_tree_plot(pie_tree_df, 3)

Tableau users:

Examples:

• Functional ideas (including mapping): pie_tree
• Combined with a [Hierarchical Radial Tree Diagram]: Takeoff

Check back soon for updates!