From d12967392d50c10e93bb3018a2e79b5d4096a168 Mon Sep 17 00:00:00 2001
From: pe4nf27lt <2107895621@qq.com>
Date: Wed, 12 Jun 2024 20:23:51 +0800
Subject: [PATCH] ADD file via upload

---
 test.py | 58 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 58 insertions(+)
 create mode 100644 test.py

diff --git a/test.py b/test.py
new file mode 100644
index 0000000..060e987
--- /dev/null
+++ b/test.py
@@ -0,0 +1,58 @@
+import csv
+import re
+from collections import Counter
+
+
+
+# 正则表达式匹配时间
+time_pattern = re.compile(r'\d{4}-\d{2}')
+
+# 初始化计数器
+date_counts = Counter()
+
+# 打开并读取CSV文件
+with open('congtent.csv', mode='r', encoding='utf-8') as file:
+    csv_reader = csv.reader(file)
+    # print(csv_reader)
+    # header = next(csv_reader)  # 跳过标题行
+
+    for row in csv_reader:
+        # print(row)
+        time = row[14]
+        # print("time", time)
+        # 搜索时间值
+        time_match = time_pattern.search(time)
+        if time_match:
+            # print(f"Found time: {time_match.group()}")
+            date = time_match.group()
+            date_counts[date] += 1
+
+# 打印每一天的时间出现次数
+for date, count in date_counts.items():
+    print(f"{date}: {count} times")
+
+# 可视化展示
+dates = list(date_counts.keys())
+counts = list(date_counts.values())
+
+print(dates)
+print(counts)
+
+from pyecharts.charts import Bar
+from pyecharts import options as opts
+
+
+
+# 创建柱状图
+bar = (
+    Bar()
+    .add_xaxis(dates)
+    .add_yaxis("数量", counts)
+    .set_series_opts(itemstyle_opts={'color': 'blue'})
+    .set_global_opts(title_opts=opts.TitleOpts(title="日期对应数量柱状图"))
+)
+
+# 生成html文件（可选）
+bar.render("bar_chart.html")
+
+