时间戳

首页 > 解决方案 > 在for循环python中更改API调用

python - 在for循环python中更改API调用

问题描述

我试图在 for 循环中调用几个 api 数据集以更改调用，然后将这些数据集一起附加到更大的数据框中。

我已经编写了这段代码，它可以调用第一个数据集，然后为下一次调用返回此错误。

`url = base + "max=" + maxrec + "&" "type=" + item + "&" + "freq=" + freq + "&" + "px=" +px + "&" + "ps=" + str(ps) + "&" + "r="+ r + "&" + "p=" + p + "&" + "rg=" +rg + "&" + "cc=" + cc + "&" + "fmt=" + fmt

TypeError: must be str, not Response`

这是我当前的代码

import requests
import pandas as pd

base = "http://comtrade.un.org/api/get?"
maxrec = "50000"
item = "C"
freq = "A"
px="H0"
ps="all"
r="all"
p="0"
rg="2"
cc="AG2"
fmt="json"

comtrade = pd.DataFrame(columns=[])

for year in range(1991,2018):
    ps="{}".format(year)
    url = base + "max=" + maxrec + "&" "type=" + item + "&" + "freq=" + freq + "&" + "px=" +px + "&" + "ps=" + str(ps) + "&" + "r="+ r + "&" + "p=" + p + "&" + "rg=" +rg + "&" + "cc=" + cc + "&" + "fmt=" + fmt
    r = requests.get(url)
    x = r.json()
    new = pd.DataFrame(x["dataset"])
    comtrade = comtrade.append(new)

标签： pythonapiloopsdataframe

解决方案

让我们requests为您组装 URL。

common_params = {
    "max": maxrec,
    "type": item,
    "freq": freq,
    # etc
}

for year in range(1991,2018):    
    response = requests.get(base, params=dict(common_params, ps=str(year))
    response_data = response.json()
    new = pd.DataFrame(response_data["dataset"])
    comtrade = comtrade.append(new)

推荐阅读