How to label encode a attribute in pandas dataframe?-CodePudding

Example :

Assume an attribute Result

Result

| M |

| B |

| M |

Into

Result

| 0 |

| 1 |

| 0 |

To achieve this without using LabelEncoder or OneHotEncoding. Like Is there any possible way to do it with the python dictionary?

CodePudding user response：

I would suggest creating a dictionary to map the values to new labels and use the map() method to label encode the attributes.

something like:

df['result'].map(mapping_dict)

CodePudding user response：

Something like this will work,

df = pd.DataFrame(data=[{'result': 'M'}, {'result':'B'}, {'result':'B'}, {'result':'M'}])
# Sol 1
def changeValue(r):
    if r == 'M':
        return 0
    else:
        return 1

df.apply(lambda x: changeValue(x['result']), axis=1)
# Sol 2
# df['result'].map({'M': 0, 'B': 1})