import pandas as pd items = [ {'name': 'Desmond', 'score': 1.5}, {'name': 'Jack', 'score': '0.369'}, {'name': 'Elon', 'score': 5}]df = pd.DataFrame(items) for index, row in df.iterrows(): print(row['name'], type(row['score']))
Desmond <class 'float'>
Jack <class 'str'>
Elon <class 'int'>
if df.score.dtype != 'float64': df['score'] = df['score'].astype(float)for index, row in df.iterrows(): print(row['name'], type(row['score']))
Desmond <class 'float'>
Jack <class 'float'>
Elon <class 'float'
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✨ By Desmond Lua
A dream boy who enjoys making apps, travelling and making youtube videos. Follow me on @d_luaz
👶 Apps I built
Travelopy - discover travel places in Malaysia, Singapore, Taiwan, Japan.