“PANDAS ILOC” Kode Jawaban

cara menghapus kolom dari dataframe di python

del df['column']
Bewildered Barracuda

isolat baris berdasarkan panda indeks

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

Pilih baris dari panda DataFrame

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)
Gleaming Guanaco

PANDAS ILOC

import pandas as pd
d = [[1,2,3,4,5,6,7,8],["a","b","c","d","e","f","g","h"]
df = pd.DataFrame(d)
x = df.iloc[0,1]
print(x)
Jean Aoun

ILOC PANDAS

mydict = [{'a': 1, 'b': 2, 'c': 3, 'd': 4},
...           {'a': 100, 'b': 200, 'c': 300, 'd': 400},
...           {'a': 1000, 'b': 2000, 'c': 3000, 'd': 4000 }]
>>> df = pd.DataFrame(mydict)
>>> df
      a     b     c     d
0     1     2     3     4
1   100   200   300   400
2  1000  2000  3000  4000

>>>type(df.iloc[0])
<class 'pandas.core.series.Series'>
>>>df.iloc[0]
a    1
b    2
c    3
d    4
Name: 0, dtype: int64
Arbre

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