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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
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
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
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