python情感分析

Question

在做小说评论的情感分析时遇到问题，代码运行结果显示的图片似乎不对劲，但不知道怎么解决，以下是代码，可不可以帮忙看看，感谢感谢

import matplotlib as mpl
import matplotlib.pyplot as plt
from snownlp import SnowNLP
import numpy as np
import pandas as pd

source = open("C:\\文本论文\\论文及代码\\content.txt","r",encoding="UTF-8")
line = source.readlines()
score1 = []#情感分数数组
i = ()
for i in line:
    s=SnowNLP(i)
    r=s.sentiments
    score1.append(r)

mpl.rcParams['font.sans-serif']=['SimHei']#显示中文

mpl.rcParams['axes.unicode_minus'] = False#显示负号

plt.hist(score1,np.arange(0,1,0.01),facecolor='b')

plt.xlabel("情感分数")

plt.ylabel("用户评论")

plt.title("用户评论情感分析柱状图")

plt.show()

source.close()

Answer 1

改成：

import matplotlib as mpl
import matplotlib.pyplot as plt
from snownlp import SnowNLP
import numpy as np
import pandas as pd

source = open("C:\\文本论文\\论文及代码\\content.txt", "r", encoding="UTF-8")
line = source.readlines()
score1 = []  # 情感分数数组
i = ()
for i in line:
    s = SnowNLP(i)
    r = s.sentiments
    score1.append(r)

mpl.rcParams['font.sans-serif'] = ['SimHei']  # 显示中文
mpl.rcParams['axes.unicode_minus'] = False  # 显示负号
score1.plot.hist(figsize=(8, 4), bins=10)
plt.xticks(ticks=[x / 10 for x in range(11)], labels=[x / 10 for x in range(11)])
# plt.hist(score1, np.arange(0, 1, 0.01), facecolor='b')
plt.xlabel("情感分数")
plt.ylabel("用户评论")
plt.title("用户评论情感分析柱状图")
plt.show()
source.close()