Fill in the missing gaps to find the minimum of the 'price' column and then show the first 10 rows of the file.
importas pd
df = pd.('file.csv')
print(df['price'])
print()
5
user_id plan price trial
938 month 25 False
769 year 65 True
892 week 5 True
1521 week 5 True
155 week 5 True
229 year 65 True
1843 week 5 True
386 week 5 True
972 week 5 True
1394 week 5 True
Click or drag`n`drop items and fill in the blanks