how to get distinct value in a column dataframe in python
df.column.unique()
how to get distinct value in a column dataframe in python
df.column.unique()
distinct rows in this DataFrame
# distinct rows in this DataFrame
df.distinct().count()
# 2
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())
pandas count distinct values in a column
Series.value_counts(self, normalize=False, sort=True, ascending=False, bins=None, dropna=True)
Returns a new DataFrame containing the distinct rows in this DataFrame
# Returns a new DataFrame containing the distinct rows in this DataFrame
df.ditinct().count()
# 2
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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