Created
December 10, 2019 09:40
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投票の様子をグラフ化するスクリプト
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import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib.animation as animation | |
fig = plt.figure() | |
flames = [] | |
# 投票ラベル ('A': 1, 'B': 2, 'C': 3) に対応 | |
labels = ['A', 'B', 'C'] | |
# ラベルの種類数 | |
label_kinds = len(labels) | |
# 投票データ (1スタート) | |
votes = [1, 2, 3, 3, 3, 1, 3, 1, 3, 3, 1, 3, 1, 2, 3, 3, 2, 1, 3, 2, 2, 1, 2, 2, 3, 1, 2, 1, 2, 2, 2, 1, 3, 3, 2, 2, 2, 2, 1, 2, 2, 1, 2, 3, 2, 2, 1, 3, 2, 2, 2, 1, 2, 3, 2, 2, 2, 1, 2, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3] | |
index = np.arange(label_kinds) | |
for i in range(len(votes)): | |
# votes の先頭からi番目までを取り出す | |
vs = votes[:i] | |
# 集計 | |
counts = [] | |
for k in range(label_kinds): | |
# 1 スタートなのでここで調整 | |
vote_index = k + 1 | |
counts.append(sum(1 for v in vs if v == vote_index)) | |
plt.xticks(index, labels, fontsize=15, rotation=30) | |
# 一番高い数なら色を変える | |
color = ['orange' if c >= max(counts) else 'darkcyan' for c in counts] | |
im = plt.bar(index, counts, color=color, width=0.5) | |
flames.append(im) | |
# アニメーションを開始 | |
ani = animation.ArtistAnimation(fig, flames, interval=100) | |
plt.show() |
Author
pistatium
commented
Dec 10, 2019
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