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I am trying to better plan the class structures of a large code base in python. The project is a data science project involving data cleaning, data analysis, etc. I model all the data cleaning tasks as one class object, and all the data analysis tasks as another class object. Under the Data_Cleaning class, I will output certain processed data, and this data will in term feed into the Data_Analysis class. I want these classes to be structured as a framework for reusability. I wonder what are the pros and cons of the following condensed example, and what are the guiding principles to determine if I should instantiate the Data_Cleaning object outside or inside the Data_analysis class?
# Approach #1
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self, input_numba):
self.input_numba = input_numba
def numba_times_four(self) -> int:
return (self.input_numba*4)
x = Data_Cleaning()
my_numba = x.numba_plus_one()
print(my_numba)
y = Data_Analysis(my_numba)
my_new_numba = y.numba_times_four()
print(my_new_numba)
# Approach #2
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self):
z = Data_Cleaning()
self.input_numba = z.numba_plus_one()
def numba_times_four(self) -> int:
return (self.input_numba*4)
o = Data_Analysis()
print(o.numba_times_four())
python python-3.x object-oriented
asked 6 mins ago
KubiK888KubiK888
1134
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
I am trying to better plan the class structures of a large code base in python. The project is a data science project involving data cleaning, data analysis, etc. I model all the data cleaning tasks as one class object, and all the data analysis tasks as another class object. Under the Data_Cleaning class, I will output certain processed data, and this data will in term feed into the Data_Analysis class. I want these classes to be structured as a framework for reusability. I wonder what are the pros and cons of the following condensed example, and what are the guiding principles to determine if I should instantiate the Data_Cleaning object outside or inside the Data_analysis class?
# Approach #1
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self, input_numba):
self.input_numba = input_numba
def numba_times_four(self) -> int:
return (self.input_numba*4)
x = Data_Cleaning()
my_numba = x.numba_plus_one()
print(my_numba)
y = Data_Analysis(my_numba)
my_new_numba = y.numba_times_four()
print(my_new_numba)
# Approach #2
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self):
z = Data_Cleaning()
self.input_numba = z.numba_plus_one()
def numba_times_four(self) -> int:
return (self.input_numba*4)
o = Data_Analysis()
print(o.numba_times_four())
python python-3.x object-oriented
asked 6 mins ago
KubiK888KubiK888
1134
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am trying to better plan the class structures of a large code base in python. The project is a data science project involving data cleaning, data analysis, etc. I model all the data cleaning tasks as one class object, and all the data analysis tasks as another class object. Under the Data_Cleaning class, I will output certain processed data, and this data will in term feed into the Data_Analysis class. I want these classes to be structured as a framework for reusability. I wonder what are the pros and cons of the following condensed example, and what are the guiding principles to determine if I should instantiate the Data_Cleaning object outside or inside the Data_analysis class?
# Approach #1
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self, input_numba):
self.input_numba = input_numba
def numba_times_four(self) -> int:
return (self.input_numba*4)
x = Data_Cleaning()
my_numba = x.numba_plus_one()
print(my_numba)
y = Data_Analysis(my_numba)
my_new_numba = y.numba_times_four()
print(my_new_numba)
# Approach #2
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self):
z = Data_Cleaning()
self.input_numba = z.numba_plus_one()
def numba_times_four(self) -> int:
return (self.input_numba*4)
o = Data_Analysis()
print(o.numba_times_four())
python python-3.x object-oriented
asked 6 mins ago
KubiK888KubiK888
1134
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am trying to better plan the class structures of a large code base in python. The project is a data science project involving data cleaning, data analysis, etc. I model all the data cleaning tasks as one class object, and all the data analysis tasks as another class object. Under the Data_Cleaning class, I will output certain processed data, and this data will in term feed into the Data_Analysis class. I want these classes to be structured as a framework for reusability. I wonder what are the pros and cons of the following condensed example, and what are the guiding principles to determine if I should instantiate the Data_Cleaning object outside or inside the Data_analysis class?
# Approach #1
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self, input_numba):
self.input_numba = input_numba
def numba_times_four(self) -> int:
return (self.input_numba*4)
x = Data_Cleaning()
my_numba = x.numba_plus_one()
print(my_numba)
y = Data_Analysis(my_numba)
my_new_numba = y.numba_times_four()
print(my_new_numba)
# Approach #2
class Data_Cleaning():
def __init__(self):
self.numba = 2
def numba_plus_one(self) -> int:
return (self.numba+1)
class Data_Analysis():
def __init__(self):
z = Data_Cleaning()
self.input_numba = z.numba_plus_one()
def numba_times_four(self) -> int:
return (self.input_numba*4)
o = Data_Analysis()
print(o.numba_times_four())
python python-3.x object-oriented
python python-3.x object-oriented
asked 6 mins ago
KubiK888KubiK888
1134
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
KubiK888KubiK888
1134
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
KubiK888KubiK888
1134
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
KubiK888KubiK888
1134
asked 6 mins ago
KubiK888KubiK888
1134
1134
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
KubiK888 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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