对于当前项目，我计划通过运行多个循环来按时间范围过滤JSON文件，每次循环的范围都略有偏移。但是，下面的代码会产生TypeError: Invalid comparison between dtype=datetime64[ns] and dateline的错误after_start_date = df["Date"] >= start_date。

我已经尝试在Python代码以及相应的JSON文件中修改日期的格式。是否有任何巧妙的调整可以对齐日期类型/格式？

JSON文件具有以下格式：

[
{"No":"121","Stock Symbol":"A","Date":"05/11/2017","Text Main":"Sample text"}
]

相应的代码如下所示：

import string
import json

import pandas as pd
import datetime
from dateutil.relativedelta import *


# Loading and reading dataset
file = open("Glassdoor_A.json", "r")
data = json.load(file)
df = pd.json_normalize(data)
df['Date'] = pd.to_datetime(df['Date'])


# Create an empty dictionary
d = dict()

# Filtering by date

start_date = datetime.date.fromisoformat('2017-01-01')
end_date = datetime.date.fromisoformat('2017-01-31')

for i in df.iterrows():
    start_date += relativedelta(months=+3)
    end_date += relativedelta(months=+3)

    print(start_date)
    print(end_date)

    after_start_date = df["Date"] >= start_date
    before_end_date = df["Date"] <= end_date

    between_two_dates = after_start_date & before_end_date
    filtered_dates = df.loc[between_two_dates]

    print(filtered_dates)