Pandas Check Column Is Float and Convert If Not

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'