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 valueshow to get distinct value in a column dataframe in python
df.column.unique()dataframe unique values in each column
for col in df:
print(df[col].unique())unique values in dataframe column count
df.groupby('mID').agg(['count', 'size', 'nunique']).stack()
dID hID uID
mID
A count 5 5 5
size 5 5 5
nunique 3 5 5
B count 2 2 2
size 2 2 2
nunique 2 2 2
C count 1 1 1
size 1 1 1
nunique 1 1 1how to count unique values in a column dataframe in python
dataframe.column.nunique()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 columnsCopyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
