英文:
How can function call another functions in same class python
问题
我想创建一个包含一些函数的类，其中一个函数在类中调用另一个函数，类似这样：
```python
import pandas as pd
class Prep:
def __init__(self, data):
self.data = data
def slicing(self):
sliceInput = self.data.iloc[:, 1:8]
sliceTarget = self.data.iloc[:, 8]
return sliceInput, sliceTarget
def convert(self):
sliceInput, sliceTarget = self.slicing()
convertInput = sliceInput.to_numpy(float)
convertTarget = sliceTarget.to_numpy(int)
return convertInput, convertTarget
if __name__ == "__main__":
data_frame = pd.read_csv('data_manual.csv', sep=';')
tes = Prep(data_frame)
print(tes.convert())
我得到了以下错误：
NameError: name 'sliceInput' is not defined
如何在函数中调用 convertInput 和 convertTarget？
为什么我会得到这个错误，我完全不理解。
<details>
<summary>英文:</summary>
I want to create a class that includes some functions, that one of them call another one in class, something like that:
import pandas as pd
class Prep:
def init(self, data):
self.data = data
def slicing(self):
sliceInput = self.data.iloc[:, 1:8]
sliceTarget = self.data.iloc[:, 8]
return sliceInput, sliceTarget
def convert(self):
convertInput = sliceInput.to_numpy(float)
convertTarget = sliceTarget.to_numpy(int)
return convertInput, convertTarget
if name == "main":
data_frame = pd.read_csv('data_manual.csv', sep=';')
tes = Prep(data_frame)
print(tes.convert())
i got error like this
`NameError: name 'sliceInput' is not defined`
how to call ` convertInput ` and `convertTarget` in function
why I get an error, I don't understand at all.
</details>
# 答案1
**得分**: 2
你需要在`convert`函数中添加`sliceInput, sliceTarget = self.slicing()`。
```python
import pandas as pd
class Prep:
def __init__(self, data):
self.data = data
def slicing(self):
sliceInput = self.data.iloc[:, 1:8]
sliceTarget = self.data.iloc[:, 8]
return sliceInput, sliceTarget
def convert(self):
sliceInput, sliceTarget = self.slicing()
convertInput = sliceInput.to_numpy(float)
convertTarget = sliceTarget.to_numpy(int)
return convertInput, convertTarget
if __name__ == "__main__":
data_frame = pd.read_csv('data_manual.csv', sep=';')
tes = Prep(data_frame)
print(tes.convert())
英文:
You need to add sliceInput, sliceTarget = self.slicing() in covert
import pandas as pd
class Prep:
def __init__(self, data):
self.data = data
def slicing(self):
sliceInput = self.data.iloc[:, 1:8]
sliceTarget = self.data.iloc[:, 8]
return sliceInput, sliceTarget
def convert(self):
sliceInput, sliceTarget = self.slicing()
convertInput = sliceInput.to_numpy(float)
convertTarget = sliceTarget.to_numpy(int)
return convertInput, convertTarget
if __name__ == "__main__":
data_frame = pd.read_csv('data_manual.csv', sep=';')
tes = Prep(data_frame)
print(tes.convert())
答案2
得分: 2
只需将self添加到已定义的属性中。
此外，因为在实例化Prep对象后，data是不可变的，所以最好在__init__()方法中只初始化切片变量一次。
import pandas as pd
class Prep:
def __init__(self, data):
self.data = data
self.sliceInput = data.iloc[:, 1:8]
self.sliceTarget = data.iloc[:, 8]
def slicing(self):
return self.sliceInput, self.sliceTarget
def convert(self):
convertInput = self.sliceInput.to_numpy(float)
convertTarget = self.sliceTarget.to_numpy(int)
return convertInput, convertTarget
if __name__ == "__main__":
data_frame = pd.read_csv('data_manual.csv', sep=';')
tes = Prep(data_frame)
print(tes.convert())
注意：代码中的if __name__ == "__main__": 已被更正为正常的Python语法。
英文:
Just add self to the defined attributes.
Also, because data is immutable after you have instantiated a Prep object, it would be better for performance if you just initialize the slice variables once in the __init__() method.
import pandas as pd
class Prep:
def __init__(self, data):
self.data = data
self.sliceInput = data.iloc[:, 1:8]
self.sliceTarget = data.iloc[:, 8]
def slicing(self):
return self.sliceInput, self.sliceTarget
def convert(self):
convertInput = self.sliceInput.to_numpy(float)
convertTarget = self.sliceTarget.to_numpy(int)
return convertInput, convertTarget
if __name__ == "__main__":
data_frame = pd.read_csv('data_manual.csv', sep=';')
tes = Prep(data_frame)
print(tes.convert())
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