PYTHON

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 duplicate row in df

df = df.drop_duplicates()

remove duplicates python

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

pandas drop duplicates from column

data = data.drop_duplicates(subset=['City'], keep='first')

remove duplicates function python

def remove_dupiclates(list_):
	new_list = []
	for a in list_:
    	if a not in new_list:
        	new_list.append(a)
	return new_list

remove duplicate columns python dataframe

df = df.loc[:,~df.columns.duplicated()]

remove duplicates in dataframe by index python

# Remove by index
df = df[df.index.duplicated(keep='first')]

# Other methods to remove duplicates
import pandas as pd

df = df.drop_duplicates()

df = df.drop_duplicates(subset = "column")

df = df.drop_duplicates(subset = ["column", "column2"])

pandas merge two dataframes remove duplicates

concat = pd.merge(data_1, data_2, how='inner')

python pandas remove duplicates and make that change to same dataframe

# If same dataset needs to be updated:

df.drop_duplicates(keep=False, inplace=True)

python remove duplicates

word = input().split()

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

pd df drop duplicates

df.drop_duplicates(subset=['brand', 'style'], keep='last')

python remove duplicates

if mylist:
    mylist.sort()
    last = mylist[-1]
    for i in range(len(mylist)-2, -1, -1):
        if last == mylist[i]:
            del mylist[i]
        else:
            last = mylist[i]
# Quicker if all elements are hashables:
mylist = list(set(mylist))

how to drop duplicate columns in pandas that dont have the same name?

# Drop duplicate columns
df2 = df.T.drop_duplicates().T
print(df2)

df index drop duplicates

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

drop duplicates data frame pandas python

df.drop_duplicates(keep=False, inplace=True)

drop duplicates columns pandas

df.loc[:,~df.columns.duplicated()]

pandas remove duplicates columns

df = df.loc[:,~df.columns.duplicated()].copy()

# https://stackoverflow.com/questions/14984119/python-pandas-remove-duplicate-columns

pandas remove duplicates

df.drop_duplicates()