Python Pandas读取Excel数据并根据时间字段筛选数据

import pandas as pd

# 读取 Excel 文件
file_path = r"C:\Users\Downloads\file_record.xlsx"  # 替换为你的文件路径
df = pd.read_excel(file_path)
# 显示前几行数据
# print(df.head())
# print(df)

# Assuming 'df' is your DataFrame and 'end_time' is initially in string format
df['end_time'] = pd.to_datetime(df['end_time'])  # Convert to datetime if necessary

# Group by 'device_id' and find the max (latest) 'end_time' for each group
latest_end_times = df.groupby('device_id')['end_time'].max().reset_index()

# Filter the 'latest_end_times' DataFrame to only include devices with 'end_time' in April or May
filtered_devices = latest_end_times[
    (latest_end_times['end_time'].dt.month == 4) | 
    (latest_end_times['end_time'].dt.month == 5)
]

for index, row in filtered_devices.iterrows():
    device_id = row['device_id']
    latest_end_time = row['end_time']
    print(f"Device ID: {device_id}, Latest End Time: {latest_end_time}")


# 'filtered_devices' now contains the device information for which the latest 'end_time' is in April or May

import pandas as pd

# 读取 Excel 文件
file_path = r"C:\Users\Downloads\file_record.xlsx"  # 替换为你的文件路径
df = pd.read_excel(file_path)

# 显示前几行数据
# print(df.head())
# print(df)

# Assuming 'df' is your DataFrame and 'end_time' is initially in string format
df['end_time'] = pd.to_datetime(df['end_time'])  # Convert to datetime if necessary
# print(df.head())

# Group by 'device_id' and find the max (latest) 'end_time' for each group
latest_end_times = df.groupby('device_id')['end_time'].max().reset_index()
# print(df)


# Filter the 'latest_end_times' DataFrame to only include devices with 'end_time' in April or May
filtered_devices = latest_end_times[
    (latest_end_times['end_time'].dt.month == 4) | 
    (latest_end_times['end_time'].dt.month == 5)
]

for index, row in filtered_devices.iterrows():
    device_id = row['device_id']
    latest_end_time = row['end_time']
    print(f"Device ID: {device_id}, Latest End Time: {latest_end_time}")


# 'filtered_devices' now contains the device information for which the latest 'end_time' is in April or May