get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique valuesget list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique valuesdataframe python unique values rows
# get the unique values (rows)
df.drop_duplicates()python - subset dataframe based on unique value of a clumn
# Keep first duplicate value
my_df = my_df.drop_duplicates(subset=['my_var'])
# Keep last duplicate value
my_df = my_df.drop_duplicates(subset=['my_var'], keep='last')
# Remove all duplicate values
my_df = my_df.drop_duplicates(subset=['my_var'], keep=False)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 eCopyright © 2021 Codeinu
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