Screen Link:
https://app.dataquest.io/m/316/functions%3A-intermediate/5/multiple-return-statements
My Code:
def open_dataset(file_name=‘AppleStore.csv’, no_header = True):
opened_file = open(file_name)
from csv import reader
read_file = reader(opened_file)
data = list(read_file)
if no_header:
return data
else:
return data[1:]
apps_data = open_dataset()
I gave appropriate indentation in my code, unlike what it is above.
What I expected to happen:
I thought the no_header = True parameter used above should should yield the same result when the code is modified accordingly.
What actually happened:
However, it yielded the result with the header.
Can you please help me understand why my code didn’t yield the correct result?
Thanks!
Hello @souhasini.madhu, welcome to the community!
To use this modified code, you have to set the no_header parameter as False when calling the open_dataset function. as in
apps_data = open_dataset(no_header = False).
This indicates that the dataset has a header row since the no_header parameter is False and as such the line of code under the else statement will be executed.
’
Please note that the line of code under the if statement will ONLY be executed when the condition beside it evaluates to be True.
I hope this helps.
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Thank you for your response.
I am still not clear why I cannot set no_header = TRUE in the parameter section.
Is it because of a default/fixed criterion?
Thanks.
@souhasini.madhu,
You can set no_header as True in the parameter section here when defining the function;
but you have to set the no_header as False when calling the function since the dataset 'AppleStore.csv' you are working on has a header:
Something like this. apps_data = open_dataset(no_header = False) ,
This way, you would yield the correct results.
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@souhasini.madhu
From your code:
if no_header:
return data
else:
return data[1:]
means: no_header condition is true
But your code return data
returns header with a row.
I hope this makes sense
1 Like