将Json文件内容保存到python/pandas中的CSV文件中 [英] Save Json file contents to CSV file in python/pandas

问题描述

如何如最后所示将数据"信息获取到一个csv表中(以及正确的标题"，以便源服务器不会让我以为我正在抓取)?我到目前为止编写的代码如下.

How to get the "data" information into a csv table as shown at the end (and also, the right 'headers' so that the source server doesn't throw me off thinking I am scraping)? The code I wrote so far is as below.

import requests, json

headers = {'User-Agent': 'Mozilla/5.0'}
data_json = requests.get('https://www1.nseindia.com/live_market/dynaContent/live_watch/stock_watch/foSecStockWatch.json', headers=headers)
print(data_json)

file = open('make_csv', 'w')
file.write(str(data_json))
file.close()

但是我收到的输出如下:

But as the output I receive is as follows:

<Response [200]>

，甚至导出/保存的文件也显示相同的内容.

and even the exported/saved file shows the same.

这是我要实现的预期输出表:

Here is the expected output table that I am trying to achieve:

Symbol,Open,High,Low,Last Traded Price,Change,%Change,Traded Volume(lacs),Traded Value(crs),52 Week High,52 Week Low,365 Days % Change,30 Days % Change
"LUPIN","582.45","665.90","578.00","662.00","82.95","14.33","64.93","411.13","884.00","504.75","-14.88","5.11"
"APOLLOHOSP","1,094.20","1,239.45","1,088.05","1,195.00","106.15","9.75","23.97","280.36","1,813.55","1,047.05","-4.80","-30.87"
"SUNPHARMA","343.95","389.80","340.00","376.45","32.90","9.58","285.51","1,055.40","483.90","312.00","-19.85","1.88"
"CIPLA","425.00","454.70","416.25","448.00","34.25","8.28","179.07","793.22","586.00","355.30","-14.28","11.46"
"CESC","393.00","429.80","386.25","420.00","26.85","6.83","9.30","38.63","851.70","365.25","-42.19","-34.53"
"TORNTPHARM","1,979.00","2,113.00","1,950.00","2,090.00","131.00","6.69","10.13","208.87","2,287.25","1,452.00","10.56","-1.75"
"ITC","167.90","182.75","167.00","177.50","11.10","6.67","628.68","1,100.88","310.00","134.60","-40.42","-9.11"
"OIL","82.25","85.60","80.25","84.50","5.25","6.62","27.05","22.39","189.70","63.50","-53.95","-16.91"
..........
..........

推荐答案

import requests
import pandas as pd

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:74.0) Gecko/20100101 Firefox/74.0'
}


def main(url):
    r = requests.get(url, headers=headers).json()
    x = []
    for item in r['data']:
        df = pd.DataFrame.from_dict([item])
        x.append(df)
    new = pd.concat(x, ignore_index=True)
    print(new)
    new.to_csv("Data.csv")


main("https://www1.nseindia.com/live_market/dynaContent/live_watch/stock_watch/foSecStockWatch.json")

输出:在线查看

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