PYTHON

return count of unique values pandas

#TO count repetition of each unique values(to find How many times the same-
# unique value is appearing in the data)

item_counts = df["Your_Column"].value_counts()
#Returns Dictionary => {"Value_name" : number_of_appearences} 

how to get distinct value in a column dataframe in python

df.column.unique()

pandas count distinct

df.groupby('column1').column2.nunique()

count unique values in pandas column

df['column_name'].value_counts()

values of unique from dataframe with count

data = df.groupby('ColumnName')['IDColumnName'].nunique()
print(data)

pandas get column values distinct

import pandas as pd

colors = {'color': ['green', 'blue', 'blue', 'red', 'green']}
df = pd.DataFrame.from_dict(colors)

print(df['color'].unique())

get count of unique values in column pandas

df = df.groupby('domain')['ID'].nunique()

print (df)
domain
'facebook.com'    1
'google.com'      1
'twitter.com'     2
'vk.com'          3
Name: ID, dtype: int64

how to count unique values in a column dataframe in python

dataframe.column.nunique()

distinct rows in this DataFrame

# distinct rows in this DataFrame

df.distinct().count()
# 2

Count unique values Pandas

df = df.groupby('domain')['ID'].nunique()

how to count unique values in dataframe df python

#count unique values in each column
df.nunique()

#count unique values in each row
df.nunique(axis=1)

count unique values pandas

df['hID'].nunique()
5

pandas count distinct values in column

#column name ISSDTM
pd.to_datetime(df.ISSDTM, errors='coerce').dt.year

#result
0    2013
1    2013
2    2009
3    2009
Name: ISSDTM, dtype: int64