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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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Removed unused variable and comments
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@DrNightmare
DrNightmare committed Oct 31, 2016
commit 9f4bbdd1297942e7eea2baea9bc9013ff15cedd7
12 changes: 5 additions & 7 deletions examples/statistics/customized_violin_demo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ def adjacent_values(vals, q1, q3):

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]
return lower_adjacent_value, upper_adjacent_value


def set_axis_style(ax, labels):
Expand Down Expand Up @@ -60,13 +60,11 @@ def set_axis_style(ax, labels):
pc.set_alpha(1)

quartile1, medians, quartile3 = np.percentile(data, [25, 50, 75], axis=1)
inter_quartile_ranges = np.vstack([quartile1, quartile3]).T
whiskers = [
whiskers = np.array([
adjacent_values(sorted_array, q1, q3)
for sorted_array, q1, q3 in zip(data, quartile1, quartile3)]
whiskersMin, whiskersMax = list(zip(*whiskers))
# plot medians as points,
# whiskers as thin lines, quartiles as fat lines
for sorted_array, q1, q3 in zip(data, quartile1, quartile3)])
whiskersMin, whiskersMax = whiskers[:, 0], whiskers[:, 1]

inds = np.arange(1, len(medians) + 1)
ax2.scatter(inds, medians, marker='o', color='white', s=30, zorder=3)
ax2.vlines(inds, quartile1, quartile3, color='k', linestyle='-', lw=5)
Expand Down