如何在同一类中的Python中调用另一个函数？

huangapple
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英文:

How can function call another functions in same class python

问题

  1. 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：
  3. ```python
  4. import pandas as pd
  6. class Prep:
  7.     def __init__(self, data):
  8.         self.data = data
  10.     def slicing(self):
  11.         sliceInput = self.data.iloc[:, 1:8]
  12.         sliceTarget = self.data.iloc[:, 8]
  13.         return sliceInput, sliceTarget
  15.     def convert(self):
  16.         sliceInput, sliceTarget = self.slicing()
  17.         convertInput = sliceInput.to_numpy(float)
  18.         convertTarget = sliceTarget.to_numpy(int)
  19.         return convertInput, convertTarget
  21. if __name__ == "__main__":
  22.     data_frame = pd.read_csv('data_manual.csv', sep=';')
  24.     tes = Prep(data_frame)
  25.     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。

  2. <details>
  3. <summary>英文:</summary>
  5. 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

  1. def slicing(self):
  2.     sliceInput = self.data.iloc[:, 1:8]
  3.     sliceTarget = self.data.iloc[:, 8]
  4.     return sliceInput, sliceTarget
  6. def convert(self):
  7.     convertInput = sliceInput.to_numpy(float)
  8.     convertTarget = sliceTarget.to_numpy(int)
  9.     return convertInput, convertTarget

if name == "main":
data_frame = pd.read_csv('data_manual.csv', sep=';')

  1. tes = Prep(data_frame)
  2. print(tes.convert())
  1. i got error like this
  2. `NameError: name &#39;sliceInput&#39; is not defined`
  4. how to call ` convertInput ` and `convertTarget` in function
  5. why I get an error, I don&#39;t understand at all.
  7. </details>
  10. # 答案1
  11. **得分**: 2
  13. 你需要在`convert`函数中添加`sliceInput, sliceTarget = self.slicing()`。
  15. ```python
  16. import pandas as pd
  18. class Prep:
  19.     def __init__(self, data):
  20.         self.data = data
  22.     def slicing(self):
  23.         sliceInput = self.data.iloc[:, 1:8]
  24.         sliceTarget = self.data.iloc[:, 8]
  26.         return sliceInput, sliceTarget
  28.     def convert(self):
  29.         sliceInput, sliceTarget = self.slicing()
  30.         convertInput = sliceInput.to_numpy(float)
  31.         convertTarget = sliceTarget.to_numpy(int)
  32.         return convertInput, convertTarget
  34. if __name__ == "__main__":
  35.     data_frame = pd.read_csv('data_manual.csv', sep=';')
  37.     tes = Prep(data_frame)
  38.     print(tes.convert())
英文:

You need to add sliceInput, sliceTarget = self.slicing() in covert

  1. import pandas as pd
  4. class Prep:
  5.     def __init__(self, data):
  6.         self.data = data
  8.     def slicing(self):
  9.         sliceInput = self.data.iloc[:, 1:8]
  10.         sliceTarget = self.data.iloc[:, 8]
  12.         return sliceInput, sliceTarget
  14.     def convert(self):
  15.         sliceInput, sliceTarget = self.slicing()
  16.         convertInput = sliceInput.to_numpy(float)
  17.         convertTarget = sliceTarget.to_numpy(int)
  18.         return convertInput, convertTarget
  20. if __name__ == &quot;__main__&quot;:
  21.     data_frame = pd.read_csv(&#39;data_manual.csv&#39;, sep=&#39;;&#39;)
  23.     tes = Prep(data_frame)
  24.     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。

  1. import pandas as pd
  3. class Prep:
  4.     def __init__(self, data):
  5.         self.data = data
  6.         self.sliceInput = data.iloc[:, 1:8]
  7.         self.sliceTarget = data.iloc[:, 8]
  9.     def slicing(self):
  10.         return self.sliceInput, self.sliceTarget
  12.     def convert(self):
  13.         convertInput = self.sliceInput.to_numpy(float)
  14.         convertTarget = self.sliceTarget.to_numpy(int)
  15.         return convertInput, convertTarget
  17. if __name__ == "__main__":
  18.     data_frame = pd.read_csv('data_manual.csv', sep=';')
  19.     
  20.     tes = Prep(data_frame)
  21.     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.

  1. import pandas as pd
  4. class Prep:
  5.     def __init__(self, data):
  6.         self.data = data
  7.         self.sliceInput = data.iloc[:, 1:8]
  8.         self.sliceTarget = data.iloc[:, 8]
  10.     def slicing(self):
  11.         return self.sliceInput, self.sliceTarget
  14.     def convert(self):
  15.         convertInput = self.sliceInput.to_numpy(float)
  16.         convertTarget = self.sliceTarget.to_numpy(int)
  17.         return convertInput, convertTarget
  19. if __name__ == &quot;__main__&quot;:
  20.     data_frame = pd.read_csv(&#39;data_manual.csv&#39;, sep=&#39;;&#39;)
  22.     tes = Prep(data_frame)
  23.     print(tes.convert())

huangapple
  • 本文由 发表于 2020年1月4日 12:23:50
  • 转载请务必保留本文链接：https://go.coder-hub.com/59587862.html
  • python
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