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()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: int64how to count number of unique values in a column python
pd.value_counts(df.Account_Type)
Gold 3
Platinum 1
Name: Account_Type, dtype: int64distinct rows in this DataFrame
# distinct rows in this DataFrame
df.distinct().count()
# 2pandas 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: int64Copyright © 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
