get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique values
get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique values
dataframe unique values in each column
for col in df:
print(df[col].unique())
count unique values pandas
df['hID'].nunique()
5
python extract values that have different values in a column
df = pd.DataFrame({'author':['a', 'a', 'b'], 'products':['sr1', 'sr2', 'sr2']}) # Create df
group = df.groupby('author') # Group by author used as index
df2 = group.apply(lambda x: x['subreddit'].unique()) # List of all product per author
df2 = df2.apply(pd.Series) # Split products in multiple columns
if df[col].unique()==2
df_dict = dict(zip([i for i in df.columns] , [pd.DataFrame(df[i].unique(), columns=[i]) for i in df.columns]))
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