Horje
pandas categorical to numeric Code Example
panda categorical data into numerica 
sex = train_dataset['Sex'].replace(['female','male'],[0,1])
print(sex)
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
convert categorical data type to int in pandas 
from sklearn import preprocessing

lab_encoder = preprocessing.LabelEncoder()
df['column'] = lab_encoder.fit_transform(df['column'])
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: www.tensorflow.org



Python

Related
reportlab page size a4 Code Example reportlab page size a4 Code Example
pandas drop row from a list of value Code Example pandas drop row from a list of value Code Example
how to file in python Code Example how to file in python Code Example
df only take 2 columns Code Example df only take 2 columns Code Example
pass context data with templateview in django Code Example pass context data with templateview in django Code Example

Type:
 Code Example
Category:
 Coding
Sub Category:
 Code Example
Uploaded by:
 Admin
Views:
 7



 

Horje