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())
dataframe python unique values rows
# get the unique values (rows)
df.drop_duplicates()
unique rows in dataframe
In [33]: df[df.columns[df.apply(lambda s: len(s.unique()) > 1)]]
Out[33]:
A B
0 0 a
1 1 b
2 2 c
3 3 d
4 4 e
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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