dataframe unique values in each column
for col in df:
print(df[col].unique())
dataframe unique values in each column
for col in df:
print(df[col].unique())
count unique values pandas
df['hID'].nunique()
5
Count unique values Pandas
df = df.groupby('domain')['ID'].nunique()
dataframe number of unique rows
1
# get the unique values (rows) by retaining last row
2
df.drop_duplicates(keep='last')
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