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Updated violin plot example as per suggestions in issue #7251 #7360

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Merged
merged 9 commits into from
Oct 31, 2016
Merged

Updated violin plot example as per suggestions in issue #7251 #7360

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08db92d
Updated example as per suggestions in issue #7251
DrNightmare Oct 29, 2016
becbfa4
Fixed ordering of parameters to np.clip()
DrNightmare Oct 29, 2016
14cd6cf
Made variable names more meaningful
DrNightmare Oct 30, 2016
03946d4
Replaced use of zip with call to transpose
DrNightmare Oct 30, 2016
8044e9d
Changed variable 'tmp' to 'quartiles' and slightly altered transpose …
DrNightmare Oct 30, 2016
88a8c2e
Fixed recalculation of interquartile ranges
DrNightmare Oct 30, 2016
62c1716
Replaced plot() calls with scatter() and vlines() calls
DrNightmare Oct 30, 2016
9f4bbdd
Removed unused variable and comments
DrNightmare Oct 31, 2016
b3ce73b
Removed unnecessary comments
DrNightmare Oct 31, 2016
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Fixed recalculation of interquartile ranges
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@DrNightmare
DrNightmare committed Oct 30, 2016
commit 88a8c2e98b916d4ada3bd392ab5c4d3ece1ec166
18 changes: 8 additions & 10 deletions examples/statistics/customized_violin_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,14 +18,11 @@
import numpy as np


def adjacent_values(vals):
q1, q3 = np.percentile(vals, [25, 75])
inter_quartile_range = q3 - q1

upper_adjacent_value = q3 + inter_quartile_range * 1.5
def adjacent_values(vals, q1, q3):
upper_adjacent_value = q3 + (q3 - q1) * 1.5
upper_adjacent_value = np.clip(upper_adjacent_value, q3, vals[-1])

lower_adjacent_value = q1 - inter_quartile_range * 1.5
lower_adjacent_value = q1 - (q3 - q1) * 1.5
lower_adjacent_value = np.clip(lower_adjacent_value, vals[0], q1)
return [lower_adjacent_value, upper_adjacent_value]
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Probabky doesn't need to be bracketed [], wonder if it can be used to remove zip* stuff in the unpacking...

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@DrNightmare DrNightmare Oct 31, 2016 •
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To avoid the unpacking, I could also optionally make 'whiskers' an np.array and then do:
whiskersMin, whiskersMax = whiskers[:, 0], whiskers[:, 1]

Irrespective of whether I do this or not, the brackets can be removed

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Then I think it makes sense to do that.

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Yes, updated in latest commit


Expand Down Expand Up @@ -62,10 +59,11 @@ def set_axis_style(ax, labels):
pc.set_edgecolor('black')
pc.set_alpha(1)

quartiles = (np.percentile(data, [25, 50, 75], axis=1))
medians = quartiles[1]
inter_quartile_ranges = quartiles[[0, 2]].T
whiskers = [adjacent_values(sorted_array) for sorted_array in data]
quartile1, medians, quartile3 = np.percentile(data, [25, 50, 75], axis=1)
inter_quartile_ranges = np.vstack([quartile1, quartile3]).T
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Pretty sure this variable is no longer used and so can be removed

whiskers = [
adjacent_values(sorted_array, q1, q3)
for sorted_array, q1, q3 in zip(data, quartile1, quartile3)]

# plot whiskers as thin lines, quartiles as fat lines,
# and medians as points
Expand Down