【发布时间】:2021-08-29 17:32:38
【问题描述】:
我有这种类型的数据
{"id":"colvera","gg_unique_id":"colvera","gg_unique_prospect_account_id":"cobra-hq-enterprises","completeness_score":100,"full_name":"chris olvera","first_name":"chris","last_name":"olvera","linkedin_url":"linkedin.com/in/colvera","linkedin_username":"colvera","facebook_url":null,"twitter_url":null,"email":"colvera@cobrahq.com","mobile_phone":null,"industry":"information technology and services","title":"independent business owner","company_name":"cobra hq enterprises","domain":"cobrahq.com","website":"cobrahq.com","employee_count":"1-10","company_linkedin_url":"linkedin.com/company/cobra-hq-enterprises","company_linkedin_username":"cobra-hq-enterprises","company_location":"raymore, missouri, united states","company_city":"raymore","company_state":"missouri","company_country":"united states"
我想将 "id","gg_unique_id" 等设置为 column 名称并将值设置为 row。我怎样才能做到这一点? 我尝试了以下代码,但没有任何反应:
import pandas as pd
import numpy as np
data = pd.read_csv("1k_sample_data.txt")
data.info()
df = pd.DataFrame.from_dict(data)
df
我是这种类型的数据的新手,如有任何帮助,将不胜感激
【问题讨论】:
-
df = pd.DataFrame(data)之类的就足够了。
标签: pandas dataframe numpy sorting data-science