Hi,
Why:
-
header = all_data[1] instead of header = all_data[0]?
-
apps_data = all_data[0] instead of apps_data = all_data[1:]?
When I write: all_data[0] I receive all data, but when all_data[1] I receive only the header. I have no idea why.
Hi,
Why:
header = all_data[1] instead of header = all_data[0]?
apps_data = all_data[0] instead of apps_data = all_data[1:]?
When I write: all_data[0] I receive all data, but when all_data[1] I receive only the header. I have no idea why.
Hi @tomasz.markielow, in the open_dataset() function definition, data[0] fetches the header of the ‘AppleStore.csv’ dataset, whereas data[1:] fetches the rest of the data excluding the header.
Your return output if header is True is a tuple of 2 values: the first (at index 0) being all the data excluding the header, i.e. data[1:], and the second value (at index 1) being the header, i.e., data[0]. So you are returning all the data before you return the header. Swap the positions of the return values as below:
Then all_data[0] will return header, whereas all_data[1] will output all the data as list of lists.
Let’s know if this helps!
This is because in this case the header = True:
The if clause tells the function to return two values:
all_data = data[1:], data[0]
So
all_data[0] = data[1:]
all_data[1] = data[0]
By default open_dataset
has file_name='AppleStore.csv
and header=True
, if the header
is True
, the function will return a tuple,( the rest of the data and the head respectively). therefore calling the function, the item in index 0
will be the data, and the item in index 1
will be the header.
Thank you guys! It’s so obvious that I feel embarrassed right now Thank you once again!
Glad we could assist. What causes embarrassment? We are all here to learn and provide assistance where necessary. Always reach out to the community for help/assistance.