python class AttributeError

Question

The purpose of this script is:

• Read a group of csv files.

• Scrape the date and extract some features out of it.

• Merge these csv files into a single data frame.

• Import the final data frame into another class and print it.

Here is the code:

import pandas as pd import os class DataSource: def __init__(self): self.dfs = [] self.final = pd.DataFrame() self.names = ['Date', 'Time', 'open', 'high', 'low', 'close', 'Volume'] self.directory = os.chdir(r"C:\Users\Sayed\Desktop\forex") def merge(self): for file in os.listdir(self.directory): df = pd.read_csv(file, names=self.names, parse_dates={'Release Date': ['Date', 'Time']}) self.dfs.append(df) self.final = pd.concat(self.dfs, axis=0) self.final = self.final[['Release Date', 'open', 'high', 'low', 'close']] print(self.final.head()) return self.final class test(): def __init__(self): self.df = DataSource.final def print(self): return print(self.df.head()) x = test() x.print()

Here is the error:

Traceback (most recent call last):

File "C:/Users/Sayed/PycharmProjects/project/hello.py", line 31, in x = test()

File "C:/Users/Sayed/PycharmProjects/project/hello.py", line 26, in init self.df = DataSource.final

AttributeError: type object 'DataSource' has no attribute 'final'

Yeah, final is an instance attribute, not a class attribute. DataSource().final would work for example… — deceze
– deceze ♦, Commented Jun 4, 2020 at 8:21
You haven't initialized a Datasource instance. final belongs to an instance, not the class. (It is inside the init) Therefore you cannot access final without initializing an instance of Datasource. That said, I have no idea what you're trying to achieve with the test class. — Ahmet
– Ahmet, Commented Jun 4, 2020 at 8:21

ArtyGator · Accepted Answer · 2020-06-04 08:32:51Z

Your cannot access self.final property directly in your DataSource class. You need to instantiate it first. So your test class will more be like :

class test(): def __init__(self): self.d = DataSource() self.df = self.d.merge() def print(self): return print(self.df.head())

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