Python 从json链接读取数据并将其下载到dataframe

我有一个json链接，如下所示：

网址= “”

---

如何将这些数据下载到pandas dataframe。

这就是我如何将所有数据下载到dataframe的方法。我添加了一个名为“legend”的新列，允许您在需要时单独查看每个数据：

import pandas as pd
import requests

# needs header
headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) '\
                         'AppleWebKit/537.36 (KHTML, like Gecko) '\
                         'Chrome/75.0.3770.80 Safari/537.36'}


URI = 'https://www.nseindia.com/api/live-analysis-variations?index=gainers'
# since data is returned as json, we can use .json func
data = requests.get(URI, headers=headers).json()


print(data['legends'])

# each legend carries data, so we will append all data and add col legend
dfs = pd.DataFrame([])
for legend, _ in data['legends']:

    df = pd.DataFrame(data[legend]['data'])
    df['legend'] = legend
    dfs = dfs.append(df, ignore_index=True)


print(dfs)

---

这就是我如何将所有数据获取到DataFrame的方法。我添加了一个名为“legend”的新列，允许您在需要时单独查看每个数据：

import pandas as pd
import requests

# needs header
headers = {'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) '\
                         'AppleWebKit/537.36 (KHTML, like Gecko) '\
                         'Chrome/75.0.3770.80 Safari/537.36'}


URI = 'https://www.nseindia.com/api/live-analysis-variations?index=gainers'
# since data is returned as json, we can use .json func
data = requests.get(URI, headers=headers).json()


print(data['legends'])

# each legend carries data, so we will append all data and add col legend
dfs = pd.DataFrame([])
for legend, _ in data['legends']:

    df = pd.DataFrame(data[legend]['data'])
    df['legend'] = legend
    dfs = dfs.append(df, ignore_index=True)


print(dfs)

---

获取URLSir时不允许使用405方法我现在更改了链接，因为前一个链接有一些错误。获取URLSir时不允许使用405方法我现在更改了链接，因为前一个链接有一些错误。