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Python 字典来自 API 有 1 个标题我想摆脱

[英]Python dictionary from API has 1 heading I want to get rid of

 原文  2021-05-05 09:21:17  1   2    python/ pandas/ api/ csv

问题描述

so this is what i get from the API, but I really dont need the first "dividends" heading所以这就是我从 API 得到的，但我真的不需要第一个“红利”标题

{
    "dividends": [
        {
            "currency": "USD",
            "date": "2021-05-04",
            "dividend": "0.1100",
            "dividend_prior": "",
            "dividend_type": "Cash",
            "dividend_yield": "0.0878828229027963",
            "ex_dividend_date": "2021-05-18",
            "exchange": "AMEX",
            "frequency": 12,
            "id": "6091befc99cf5000019edaf3",
            "importance": 0,
            "name": "Pioneer Diversified High",
            "notes": "",
            "payable_date": "2021-05-28",
            "record_date": "2021-05-19",
            "ticker": "HNW",
            "updated": 1620164698
        },
        {
            "currency": "USD",
            "date": "2021-05-04",
            "dividend": "0.0475",
            "dividend_prior": "",
            "dividend_type": "Cash",
            "dividend_yield": "0.0449526813880126",
            "ex_dividend_date": "2021-05-18",
            "exchange": "NYSE",
            "frequency": 12,
            "id": "6091bf0999cf5000019edaff",
            "importance": 0,
            "name": "Pioneer Municipal High IT",
            "notes": "",
            "payable_date": "2021-05-28",
            "record_date": "2021-05-19",
            "ticker": "MHI",
            "updated": 1620164711
        },

I got it working with header=False, but when put into a csv file it doesnt take the correct new headers from this我让它与 header=False 一起工作，但是当放入 csv 文件时，它不会从中获取正确的新标题

        "currency": "USD",
        "date": "2021-05-04",
        "dividend": "0.1100",
        "dividend_prior": "",
        "dividend_type": "Cash",
        "dividend_yield": "0.0878828229027963",
        "ex_dividend_date": "2021-05-18",
        "exchange": "AMEX",
        "frequency": 12,
        "id": "6091befc99cf5000019edaf3",
        "importance": 0,
        "name": "Pioneer Diversified High",
        "notes": "",
        "payable_date": "2021-05-28",
        "record_date": "2021-05-19",
        "ticker": "HNW",
        "updated": 1620164698

The output of that looks like this: output 看起来像这样： 看图片

shouldnt it take the headers and put them as the column names and then align everything according to columns?不应该将标题作为列名，然后根据列对齐所有内容吗？

this is the code that ive used so far:这是我到目前为止使用的代码：

response_dumped = json.dumps(response)
response_parsed = json.loads(response_dumped)
df = pd.DataFrame(response_parsed)
df.to_csv("main_data.csv", index=False, header=False)

how would I achieve that?我将如何实现这一目标？

2 个解决方案

解决方案1
 2 已采纳  2021-05-05 09:24:03

You are close, select data by key dividends :你很接近，select 数据按主要dividends ：

df= pd.DataFrame(esponse_parsed['dividends'])

解决方案2
 2  2021-05-05 09:29:35

import pandas as pd
json = {
    "dividends": [
        {
            "currency": "USD",
            "date": "2021-05-04",
            "dividend": "0.1100",
            "dividend_prior": "",
            "dividend_type": "Cash",
            "dividend_yield": "0.0878828229027963",
            "ex_dividend_date": "2021-05-18",
            "exchange": "AMEX",
            "frequency": 12,
            "id": "6091befc99cf5000019edaf3",
            "importance": 0,
            "name": "Pioneer Diversified High",
            "notes": "",
            "payable_date": "2021-05-28",
            "record_date": "2021-05-19",
            "ticker": "HNW",
            "updated": 1620164698
        },
        {
            "currency": "USD",
            "date": "2021-05-04",
            "dividend": "0.0475",
            "dividend_prior": "",
            "dividend_type": "Cash",
            "dividend_yield": "0.0449526813880126",
            "ex_dividend_date": "2021-05-18",
            "exchange": "NYSE",
            "frequency": 12,
            "id": "6091bf0999cf5000019edaff",
            "importance": 0,
            "name": "Pioneer Municipal High IT",
            "notes": "",
            "payable_date": "2021-05-28",
            "record_date": "2021-05-19",
            "ticker": "MHI",
            "updated": 1620164711
        }]}
no_header = json["dividends"]
df = pd.DataFrame(no_header)
df.to_csv("main_data.csv", index=False, header=False)


```

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