Answers for "get row in dataframe"

pandas get row from column value

df.loc[df['column_name'] == some_value]

how to get a row from a dataframe in python

df.iloc[[index]]

isolate row based on index pandas

dfObj.iloc[: , [0, 2]]

access row of dataframe

df.iloc[index]

select rows from dataframe pandas

from pandas import DataFrame

boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
         'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle'],
         'Price': [10,15,5,5,10,15,15,5]
        }

df = DataFrame(boxes, columns= ['Color','Shape','Price'])

select_color = df.loc[df['Color'] == 'Green']
print (select_color)

pandas return row

1. 	Selecting data by row numbers (.iloc)
	# myrow = data.iloc[<row selection>]
 	myrow = data.iloc[7]
    myrow = data.iloc[0:9]
    
2. 	Selecting data by label or by a conditional statement (.loc)
	# myrow = data.loc[<row selection.]
  	myrow = data.loc['University ABC']
    
3. 	Selecting in a hybrid approach (.ix) (now Deprecated in Pandas 0.20.1)
	# Works like a .loc but also accepts integers - may lead to unexpected results