drop duplicates pandas first column
import pandas as pd
# making data frame from csv file
data = pd.read_csv("employees.csv")
# sorting by first name
data.sort_values("First Name", inplace = True)
# dropping ALL duplicte values
data.drop_duplicates(subset ="First Name",keep = False, inplace = True)
# displaying data
print(data)remove duplicates python
mylist = ["a", "b", "a", "c", "c"]
mylist = list(dict.fromkeys(mylist))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_listremove duplicate columns python dataframe
df = df.loc[:,~df.columns.duplicated()]pandas merge two dataframes remove duplicates
concat = pd.merge(data_1, data_2, how='inner')Copyright © 2021 Codeinu
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