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🐛 Changes boxplot to violinplot

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This commit is contained in:
Daniel Svitan 2024-12-21 19:17:45 +01:00
parent 0420fda2f1
commit 7df964a000
1 changed files with 7 additions and 6 deletions
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13
analyze.py
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@ -40,19 +40,20 @@ def plot_box(data, labels, Fs, ps, title):
for j in range(2): for j in range(2):
for k in range(2): for k in range(2):
index = j * 2 + k index = j * 2 + k
axs[j, k].boxplot(data[index], labels=labels) step = 1 if index > 0 else 0.5
axs[j, k].set_title(titles[index])
if index > 0: axs[j, k].violinplot(data[index], showmeans=True)
axs[j, k].set_yticks(np.arange(1, 6, 1)) axs[j, k].set_title(titles[index])
axs[j, k].set_xticks(np.arange(1, len(labels) + 1), labels=labels)
axs[j, k].set_yticks(np.arange(1, 5.01, step))
F = round(Fs[index], 2) F = round(Fs[index], 2)
p = round(ps[index], 4) p = round(ps[index], 4)
axs[j, k].text(0.01, 0.99, f"F-stat: {F}\np-val: {p}", ha="left", va="top", transform=axs[j, k].transAxes, axs[j, k].text(0.01, 0.99, f"F-stat: {F}\np-val: {p}", ha="left", va="top", transform=axs[j, k].transAxes,
fontweight="bold") fontweight="bold")
medians = np.array([np.median(a) for a in data[j * 2 + k]]) means = np.array([a.mean() for a in data[j * 2 + k]])
print(medians) # TODO: add to graph print(means) # TODO: add to graph
fig.tight_layout() fig.tight_layout()
fig.show() fig.show()