# -*- coding: utf-8 -*-
import nlp_30
from collections import Counter
from matplotlib import pyplot as plt
counter = Counter()
for l in nlp_30.morpheme():
counter.update([m["surface"] for m in l if m["pos"] != "記号"])
# フォントの設定 デフォルトだと日本語非対応
plt.rcParams["font.family"] = "Meiryo"
plt.title("単語の出現頻度上位10語")
plt.xlabel("単語")
plt.ylabel("出現頻度(出現回数)")
x = [c[0] for c in counter.most_common(10)]
y = [c[1] for c in counter.most_common(10)]
# 棒グラフ
plt.bar(x, y)
plt.show()
# -*- coding: utf-8 -*-
import nlp_30
verbs = [m for l in nlp_30.morpheme() for m in l if m["pos"] == "動詞"]
for i, v in enumerate(verbs):
if i < 5:
print(v["surface"])
# -*- coding: utf-8 -*-
import nlp_30
nouns = [
m for l in nlp_30.morpheme() for m in l
if m["pos"] == "名詞" and m["pos1"] == "サ変接続"
]
for i, n in enumerate(nouns):
if i < 5:
print(n["surface"])