如何统计文本中的中英文字符数？Python帮你解决
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以下文章来源于小蚊子数据分析 ，作者小蚊子数据分析
代码
1import string2import pandas as pd
3import csv
4
5
6blocks = []
7def str_count(str):
8 """找出字符串中的中英文、空格、数字、标点符号个数"""
9 count_en = count_dg = count_sp = count_zh =
10 count_pu = count_at = count_tan = count_wen = count_mao = count_jing = count_sheng = 0
11
12 for s in str:
13 # 英文
14 if s in string.ascii_letters:
15 count_en += 1
16 # 数字
17 elif s.isdigit():
18 count_dg += 1
19 # 空格
20 elif s.isspace():
21 count_sp += 1
22 # 中文
23 elif s.isalpha():
24 count_zh += 1
25 # 特殊字符
26 else:
27 for ss in s[:]:
28 if ss == "@":
29 count_at += 1
30 if ss == "!":
31 count_tan += 1
32 if ss == "?":
33 count_wen += 1
34 if ss == ":":
35 count_mao += 1
36 if ss == "#":
37 count_jing += 1
38 if "......" in s:
39 count_sheng += 1
40 count_pu += 1
41 print("英文字符：", count_en)
42 print("数字：", count_dg)
43 print("空格：", count_sp)
44 print("中文：", count_zh)
45 print("特殊字符：", count_pu)
46 print("@:", count_at)
47 print("!:", count_tan)
48 print("?:", count_wen)
49 print(":", count_mao)
50 print("#:", count_jing)
51 print("......", count_sheng)
52 block = [count_en, count_dg, count_sp, count_zh, count_pu, count_at, count_tan, count_wen,
53 count_sheng, count_mao, count_jing]
54 blocks.append(block)
55
56
57f = pd.read_csv("C://Users//lecce//Desktop//1015.csv")
58for i in range(0, 569):
59 str_count(f.content[i])
60
61with open("content.csv", "w", newline="") as csvfile:
62 writer = csv.writer(csvfile)
63 for x in range(0, len(blocks)):
64
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