Answers for "Remove duplicates with pandas"

remove duplicate row in df

df = df.drop_duplicates()

Remove duplicates with pandas

import pandas as pd

# Drop all duplicates in the DataFrame
df = df.drop_duplicates()

# Drop all duplicates in a specific column of the DataFrame
df = df.drop_duplicates(subset = "column")

# Drop all duplicate pairs in DataFrame
df = df.drop_duplicates(subset = ["column", "column2"])

# Display DataFrame
print(df)

remove duplicates python

mylist = ["a", "b", "a", "c", "c"]
mylist = list(dict.fromkeys(mylist))

df index drop duplicates

df3 = df3[~df3.index.duplicated(keep='first')]

python remove duplicates

word = input().split()

for i in word:
  if word.count(i) > 1:
    word.remove(i)