How to Remove Duplicate Rows From a Data Frame in Pandas (Python)

↓ Code Available Below! ↓

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Code used in this Python Code Clip:

import pandas as pd

data = pd.DataFrame({"character": ["Goku","Vegeta", "Nappa","Goku","Piccolo"],
"power level": [12000, 16000, 4000, 12000, 3000]})

data

data

** Note: YouTube does not allow greater than or less than symbols in the text description, so the code above will not be exactly the same as the code shown in the video! I will use Unicode large ＜ and ＞ symbols in place of the standard sized ones. .

[DataDaft]

import pandas as pd

data = pd.DataFrame({"character": ["Goku", "Vegeta", "Nappa", "Goku", "Piccolo"],
"power level": [12000, 16000, 4000, 12000, 3000]})

data

# Use df.drop_duplicates() to remove duplicate rows
data = data.drop_duplicates()

data

[benjaminshamash]

i love the characters you used got the thumbs up from me

[MS-qkcz]

quick, easy and effective - great video