Python solution for Age Counting problem by Coderbyte

Talented Tiger answered on August 12, 2023 Popularity 2/10 Helpfulness 1/10

answer Python solution for Age Counting problem by Coderbyte

Python solution for Age Counting problem by Coderbyte

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import requests
import numpy as np
import pandas as pd

r = requests.get('https://coderbyte.com/api/challenges/json/age-counting%27')
print(len(r.json()['data']))
# split data by ", "
data = r.json()['data'].split(", ")
# Load to DataFrame
df = pd.DataFrame([sub.split("=") for sub in data],columns=['key', 'age'])
# Find all age values in column "key"
dfAge = df.loc[df['key'] == 'age']
# convert column values to int
dfAge['age'] = dfAge['age'].astype(int)
# find in age column all >= 50
dfAge = dfAge.loc[dfAge['age'] >= 50]


print(len(dfAge))

Popularity 2/10 Helpfulness 1/10 Language python

Source: gist.github.com

Tags: counting python solution

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Contributed on Aug 12 2023

Talented Tiger

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Python solution for Age Counting problem by Coderbyte

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