时分时间点分类时间段,统计每个时间段出现次数,结果放入pandas数据帧,Python
https://zhangphil.blog.csdn.net/article/details/125911971
https://zhangphil.blog.csdn.net/article/details/125911971
把不同的时间点划入对应的时间段区间,比如12:23,归入到(12,13)时间段,并计数1。15:23归入到(15,16)时间段,并计数1。如果出现新的时间点(比如12:51)落入到(12,13),增加计数,此时为2。把时间段和计数结果放入到pandas数据帧。
import datetime
import random
import pandas as pd
# 生成随机测试时间数量
from pprint import pprint
SAMPLE_COUNT = 10
SECTION = 'section'
SUM = 'sum'
def my_time():
times = []
for i in range(24):
times.append({SECTION: (i, i + 1), SUM: 0})
cnt = 0
while True:
h = random.randint(0, 23)
m = random.randint(0, 59)
t = datetime.time(hour=h, minute=m)
for tx in times:
if tx[SECTION][0] <= t.hour < tx[SECTION][1]:
tx[SUM] = tx[SUM] + 1
pprint(f'{t.strftime("%H:%M")} @ {tx[SECTION]}')
break
cnt = cnt + 1
if cnt > SAMPLE_COUNT:
break
return times
if __name__ == '__main__':
times = my_time()
print('-')
pprint(times)
print('--')
# 数据组装成pandas数据帧。
pd_data = []
for t in times:
l = [t[SECTION], t[SUM]]
pd_data.append(l)
col = ['时间段', '时间点次数']
df = pd.DataFrame(data=pd_data, columns=col)
df = df.sort_values(by=col[1], axis=0, ascending=False) # 降序
# 重置索引
df = df.reset_index(drop=True)
df.index = df.index + 1
pprint(df.head(10))
输出:
'22:28 @ (22, 23)'
'17:46 @ (17, 18)'
'13:17 @ (13, 14)'
'00:39 @ (0, 1)'
'00:25 @ (0, 1)'
'21:01 @ (21, 22)'
'10:31 @ (10, 11)'
'18:48 @ (18, 19)'
'19:00 @ (19, 20)'
'13:27 @ (13, 14)'
'19:37 @ (19, 20)'
-
[{'section': (0, 1), 'sum': 2},
{'section': (1, 2), 'sum': 0},
{'section': (2, 3), 'sum': 0},
{'section': (3, 4), 'sum': 0},
{'section': (4, 5), 'sum': 0},
{'section': (5, 6), 'sum': 0},
{'section': (6, 7), 'sum': 0},
{'section': (7, 8), 'sum': 0},
{'section': (8, 9), 'sum': 0},
{'section': (9, 10), 'sum': 0},
{'section': (10, 11), 'sum': 1},
{'section': (11, 12), 'sum': 0},
{'section': (12, 13), 'sum': 0},
{'section': (13, 14), 'sum': 2},
{'section': (14, 15), 'sum': 0},
{'section': (15, 16), 'sum': 0},
{'section': (16, 17), 'sum': 0},
{'section': (17, 18), 'sum': 1},
{'section': (18, 19), 'sum': 1},
{'section': (19, 20), 'sum': 2},
{'section': (20, 21), 'sum': 0},
{'section': (21, 22), 'sum': 1},
{'section': (22, 23), 'sum': 1},
{'section': (23, 24), 'sum': 0}]
--
时间段 时间点次数
1 (0, 1) 2
2 (13, 14) 2
3 (19, 20) 2
4 (22, 23) 1
5 (21, 22) 1
6 (18, 19) 1
7 (17, 18) 1
8 (10, 11) 1
9 (20, 21) 0
10 (16, 17) 0
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