custom pandas.DataFrame class
I have created a class based on a pandas.DataFrame object which initializes with a csv file as shown here:
import pandas as pd
class CustomDataFrame(pd.DataFrame):
def __init__(self, input_file):
df = pd.read_csv(input_file)
super().__init__(df)
#...
This way, I have a CustomDataFrame type that has additional specific methods to operate on itself. The problem I have with this setup is that when I take a slice of the object, it returns a pandas.DataFrame object instead of keeping the same type. In other words:
> blip = mypackage.CustomDataFrame('test.csv')
> type(blip)
mypackage.CustomDataFrame
> type(blip[1:3])
pandas.core.frame.DataFrame
Is there a simple way to correct my custom class such that it can operate on itself in all the ways that a pandas.DataFrame can, while returning this custom class each time rather than just the built-in version of the DataFrame?
python pandas oop dataframe inheritance
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
add a comment |
I have created a class based on a pandas.DataFrame object which initializes with a csv file as shown here:
import pandas as pd
class CustomDataFrame(pd.DataFrame):
def __init__(self, input_file):
df = pd.read_csv(input_file)
super().__init__(df)
#...
This way, I have a CustomDataFrame type that has additional specific methods to operate on itself. The problem I have with this setup is that when I take a slice of the object, it returns a pandas.DataFrame object instead of keeping the same type. In other words:
> blip = mypackage.CustomDataFrame('test.csv')
> type(blip)
mypackage.CustomDataFrame
> type(blip[1:3])
pandas.core.frame.DataFrame
Is there a simple way to correct my custom class such that it can operate on itself in all the ways that a pandas.DataFrame can, while returning this custom class each time rather than just the built-in version of the DataFrame?
python pandas oop dataframe inheritance
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
1
I have seen it said by one of the top 3 Pandas answerers that subclassing a DataFrame is a bad idea.
– roganjosh
Dec 31 '18 at 19:05
Oh really? That throws a wrench in my plans. Could you please link me to some of those answers? And do you know what a better alternative would be? Thanks.
– teepee
Dec 31 '18 at 19:30
1
I don't recall exactly what the other issue was, but I spend plenty of time looking at SO questions and this is only the second that I recall that was using subclassing tbh. It might be better to flesh out your plan with one of the custom methods that makes you think you need to subclass in the first place.Why can't you just have an object that applies methods to its own DF attribute?
– roganjosh
Dec 31 '18 at 19:55
1
stackoverflow.com/q/22155951/6361531
– Scott Boston
Jan 1 at 6:04
add a comment |
I have created a class based on a pandas.DataFrame object which initializes with a csv file as shown here:
import pandas as pd
class CustomDataFrame(pd.DataFrame):
def __init__(self, input_file):
df = pd.read_csv(input_file)
super().__init__(df)
#...
This way, I have a CustomDataFrame type that has additional specific methods to operate on itself. The problem I have with this setup is that when I take a slice of the object, it returns a pandas.DataFrame object instead of keeping the same type. In other words:
> blip = mypackage.CustomDataFrame('test.csv')
> type(blip)
mypackage.CustomDataFrame
> type(blip[1:3])
pandas.core.frame.DataFrame
Is there a simple way to correct my custom class such that it can operate on itself in all the ways that a pandas.DataFrame can, while returning this custom class each time rather than just the built-in version of the DataFrame?
python pandas oop dataframe inheritance
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
I have created a class based on a pandas.DataFrame object which initializes with a csv file as shown here:
import pandas as pd
class CustomDataFrame(pd.DataFrame):
def __init__(self, input_file):
df = pd.read_csv(input_file)
super().__init__(df)
#...
This way, I have a CustomDataFrame type that has additional specific methods to operate on itself. The problem I have with this setup is that when I take a slice of the object, it returns a pandas.DataFrame object instead of keeping the same type. In other words:
> blip = mypackage.CustomDataFrame('test.csv')
> type(blip)
mypackage.CustomDataFrame
> type(blip[1:3])
pandas.core.frame.DataFrame
Is there a simple way to correct my custom class such that it can operate on itself in all the ways that a pandas.DataFrame can, while returning this custom class each time rather than just the built-in version of the DataFrame?
python pandas oop dataframe inheritance
python pandas oop dataframe inheritance
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
asked Dec 31 '18 at 19:02
teepeeteepee
7122819
7122819
1
I have seen it said by one of the top 3 Pandas answerers that subclassing a DataFrame is a bad idea.
– roganjosh
Dec 31 '18 at 19:05
Oh really? That throws a wrench in my plans. Could you please link me to some of those answers? And do you know what a better alternative would be? Thanks.
– teepee
Dec 31 '18 at 19:30
1
I don't recall exactly what the other issue was, but I spend plenty of time looking at SO questions and this is only the second that I recall that was using subclassing tbh. It might be better to flesh out your plan with one of the custom methods that makes you think you need to subclass in the first place.Why can't you just have an object that applies methods to its own DF attribute?
– roganjosh
Dec 31 '18 at 19:55
1
stackoverflow.com/q/22155951/6361531
– Scott Boston
Jan 1 at 6:04
add a comment |
1
I have seen it said by one of the top 3 Pandas answerers that subclassing a DataFrame is a bad idea.
– roganjosh
Dec 31 '18 at 19:05
Oh really? That throws a wrench in my plans. Could you please link me to some of those answers? And do you know what a better alternative would be? Thanks.
– teepee
Dec 31 '18 at 19:30
1
I don't recall exactly what the other issue was, but I spend plenty of time looking at SO questions and this is only the second that I recall that was using subclassing tbh. It might be better to flesh out your plan with one of the custom methods that makes you think you need to subclass in the first place.Why can't you just have an object that applies methods to its own DF attribute?
– roganjosh
Dec 31 '18 at 19:55
1
stackoverflow.com/q/22155951/6361531
– Scott Boston
Jan 1 at 6:04
1
1
I have seen it said by one of the top 3 Pandas answerers that subclassing a DataFrame is a bad idea.
– roganjosh
Dec 31 '18 at 19:05
I have seen it said by one of the top 3 Pandas answerers that subclassing a DataFrame is a bad idea.
– roganjosh
Dec 31 '18 at 19:05
Oh really? That throws a wrench in my plans. Could you please link me to some of those answers? And do you know what a better alternative would be? Thanks.
– teepee
Dec 31 '18 at 19:30
Oh really? That throws a wrench in my plans. Could you please link me to some of those answers? And do you know what a better alternative would be? Thanks.
– teepee
Dec 31 '18 at 19:30
1
1
I don't recall exactly what the other issue was, but I spend plenty of time looking at SO questions and this is only the second that I recall that was using subclassing tbh. It might be better to flesh out your plan with one of the custom methods that makes you think you need to subclass in the first place.Why can't you just have an object that applies methods to its own DF attribute?
– roganjosh
Dec 31 '18 at 19:55
I don't recall exactly what the other issue was, but I spend plenty of time looking at SO questions and this is only the second that I recall that was using subclassing tbh. It might be better to flesh out your plan with one of the custom methods that makes you think you need to subclass in the first place.Why can't you just have an object that applies methods to its own DF attribute?
– roganjosh
Dec 31 '18 at 19:55
1
1
stackoverflow.com/q/22155951/6361531
– Scott Boston
Jan 1 at 6:04
stackoverflow.com/q/22155951/6361531
– Scott Boston
Jan 1 at 6:04
add a comment |
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1
I have seen it said by one of the top 3 Pandas answerers that subclassing a DataFrame is a bad idea.
– roganjosh
Dec 31 '18 at 19:05
Oh really? That throws a wrench in my plans. Could you please link me to some of those answers? And do you know what a better alternative would be? Thanks.
– teepee
Dec 31 '18 at 19:30
1
I don't recall exactly what the other issue was, but I spend plenty of time looking at SO questions and this is only the second that I recall that was using subclassing tbh. It might be better to flesh out your plan with one of the custom methods that makes you think you need to subclass in the first place.Why can't you just have an object that applies methods to its own DF attribute?
– roganjosh
Dec 31 '18 at 19:55
1
stackoverflow.com/q/22155951/6361531
– Scott Boston
Jan 1 at 6:04