Question

在橙色中，有用于导入CSV文件的“数据”小部件，还有“选择列”小部件以选择功能，目标和元。

如何使用Python Script小部件来做到这一点？

例如：

CSV file = D:\passenger\data.csv
feature = age | gender | job
meta  = name
target = seat_class

Answer 1

在“ Python脚本”小部件中，以下应该起作用：

from Orange import Table
# load your path
data = Table('D:\passenger\data.csv')

Answer 2

如果CSV文件与python脚本位于同一文件夹中

@Data
@Entity
@EqualsAndHashCode( callSuper = false )
@EntityListeners( AuditingEntityListener.class )
@Table( name = "subscription" )
public class Subscription
{

    @Id
    @GeneratedValue( strategy = GenerationType.AUTO )
    @Setter( AccessLevel.PROTECTED )
    @Column( name = "sub_id" )
    private UUID id;

    @ManyToMany( fetch = FetchType.LAZY )
    @JoinTable( name = "membersubscription", joinColumns = { @JoinColumn( name = "sub_id" ) }, inverseJoinColumns = { @JoinColumn( name = "m_id" ) } )
    private List<MemberSubscription> memberIds1;// i want to map with member table which is created by different project but in same database.


    //other columns

}

data.csv的内容：

#!/usr/bin/env python
import csv
from collections import defaultdict

columns = defaultdict(list) # each value in each column is appended to a list

with open('data.csv') as f:
    reader = csv.reader(f)
    next(reader, None)   # skip header in 1st row
    for row in reader:
        for (i,v) in enumerate(row):
            columns[i].append(v)

print('Column 1 Values: ', columns[0])
print('Column 2 Values: ', columns[1]) 
print('Column 3 Values: ', columns[2])

输出：

age,gender,job
25,M,IT
35,F,Operations

如何导入CSV，然后在Python脚本中选择列（橙色）

2 个答案: