using oop for dataframes

May 9, 2022

I want to refactor my code and trying to creating OOP set up for basic dataframe manipulations.
This might not make sense in a larger context but I am trying to get a better grasp on OOP.
I have tried a rename column function but it does not work on my created instance(m1).

df1 = pd.read_sql(query, conn)
class DataframeOperations():
    def __init__(self, df):
    self.df = df

    def rename_column(self, name:'string', name_adj:'string'):
        self.df.rename(columns = {name, name_adj}, inplace=True)
        return self.df

m1 = DataframeOperations(df1)
print(type(m1))

output untill this point

<class ‘main.DataframeOperations’>

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m1.rename_column('col1','col2')

I get the following error when running this function:

TypeError: ‘set’ object is not callable

>Solution :

in columns you are defining a set instead of a dictionary, try this:

df1 = pd.DataFrame({'a':[1,3,4]})

class DataframeOperations():
    def __init__(self, df):
        self.df = df

    def rename_column(self, name:'string', name_adj:'string'):
        replace_dict = {name: name_adj}
        self.df.rename(columns =replace_dict , inplace=True)
        return self.df

m1 = DataframeOperations(df1)
print(type(m1))

m1.rename_column('a','b')

But in general and in special for OOP, what you want is that DataframeOperations inherits from pd.DataFrame:

class DataframeOperations(pd.DataFrame):

    def rename_column(self, name:'string', name_adj:'string'):
        replace_dict = {name: name_adj}
        self.rename(columns =replace_dict , inplace=True)
        return self

df1 = DataframeOperations({'a':[1,3,4]})
df1.rename_column('a','b')