| import requests |
|
|
| url = "https://bloomberg-market-and-financial-news.p.rapidapi.com/market/auto-complete" |
|
|
| |
| querystring = {"query":"company"} |
|
|
| headers = { |
| "X-RapidAPI-Key": "ee0947a6afmshd9a0846869b0f80p12916fjsn610316852108", |
| "X-RapidAPI-Host": "bloomberg-market-and-financial-news.p.rapidapi.com" |
| } |
|
|
| response = requests.request("GET", url, headers=headers, params=querystring) |
|
|
|
|
| print(response.text) |
| print('***************************************************************************') |
| print('***************************************************************************') |
| print('***************************************************************************') |
| print('***************************************************************************') |
| print('***************************************************************************') |
| jsondata = response.json() |
| print(jsondata) |
| print('***************************************************************************') |
| print('***************************************************************************') |
| print('***************************************************************************') |
| print('***************************************************************************') |
| print('***************************************************************************') |
| print(jsondata.keys()) |
|
|
| print(type(jsondata['quote'])) |
| print(type(jsondata['news'])) |
| import pandas as pd |
| df = pd.DataFrame(jsondata['quote']) |
| df2 = pd.DataFrame(jsondata['news']) |
| print('***************************************************************************') |
| print(df.info()) |
| print(df2.info()) |
| print('***************************************************************************') |
| print(df.head(3)) |
| print(df2.head(3)) |
| print('***************************************************************************') |
| print(df.shape) |
| print(df2.shape) |
| print('***************************************************************************') |
| print(df.columns) |
| print(df2.columns) |
| print('***************************************************************************') |
| df3 = pd.concat([df, df2], axis = 1) |
| print(df3.columns) |
| print(df3.shape) |
| print('***************************************************************************') |
|
|
