在搜索 CSV 文件列时获取列表中的缺失值索引写入

Question

Hello Everyone,

{
"First Name": "Jonathan",
"Last Name": "Thomas",
"Marital Status": "married or civil partner",
"Sex": "Male",
"Age (Years)": 46,
"Height": 160,
}

I have a 600-row data set which I gave the first row.

import pandas as pd
df = pd.read_csv("user_data.csv")

df[df["Height"].isnull()].index.tolist()

On the code that I write using the pandas library. I want to re-write that code with the same logic code using default libraries.

Logic is: searching elements on the column and writing the missing one into the empty list

I want to use default libraries (os, sys, time, JSON, CSV, …) instead of pandas that I used on mentioned code. Could you help and guide me convert that code?

Answer 1

Assuming l is a list of JSON objects like the one you provided, this should work:

missing_age_indexes = [idx for idx, obj in enumerate(l) if obj.get('Age (Years)', None) is not None]

To get a list of the objects from that, this'll work:

missing_age_objects = [l[idx] for idx in missing_age_indexes]