Pandas categorical to numeric

Transform categorical variables python

from sklearn.preprocessing import LabelEncoder

lb_make = LabelEncoder()
obj_df["make_code"] = lb_make.fit_transform(obj_df["make"])
obj_df[["make", "make_code"]].head(11)

Source: pbpython.com

Panda categorical data into numerica

sex = train_dataset['Sex'].replace(['female','male'],[0,1])
print(sex)

Pandas categorical to numeric

#this will label as one hot vectors (origin is split into 3 columns - USA, Europe, Japan and any one place will be 1 while the others are 0)
dataset['Origin'] = dataset['Origin'].map({1: 'USA', 2: 'Europe', 3: 'Japan'})

Source: tensorflow.org

Convert categorical data type to int in pandas

from sklearn import preprocessing

lab_encoder = preprocessing.LabelEncoder()
df['column'] = lab_encoder.fit_transform(df['column'])

Similar codes

0 vote197 views1 answer
Display pil image on kivy canvas
Python
0 vote185 views1 answer
Pandas selection row/columns
Python
60 votes218 views2 answers
Sort_values
Python
-1 vote199 views3 answers
Pip change python version
Python
0 vote193 views1 answer
To the power python markdown
Python
1 vote220 views1 answer
Python add item multidimensional list
Python
0 vote196 views1 answer
How to calculate division with remainder in python
Python
108 votes204 views3 answers
Pandas dataframe column rename
Python
0 vote187 views1 answer
All the positions of a letter occurrences in a string python
Python
0 vote192 views1 answer
Newsapi in python
Python