unique words from pandas
results = set()
df['text'].str.lower().str.split().apply(results.update)
unique words from pandas
results = set()
df['text'].str.lower().str.split().apply(results.update)
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 1
dataframe python unique values rows
# get the unique values (rows)
df.drop_duplicates()
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