Opening Folder With .gl Extension In Python Or Pandas
Solution 1:
You can always save SFrame to csv and create pandas DataFrame from csv:
sf = sframe.SFrame('Downloads/home_data.gl/')
sf.save('Downloads/home_data.csv', format='csv')
df = pandas.read_csv('Downloads/home_data.csv')
Solution 2:
Updated answer as of 2018/05, turicreate
Run pip install turicreate
. And then
In [1]: import turicreate as tc
In [2]: data = tc.SFrame('./case_study_approach/week2/home_data.gl/')
In [4]: data.save('./case_study_approach/week2/home_data.csv', format='csv')
In [5]: !less ./case_study_approach/week2/home_data.csv
This package supports many platform well. Instructions are better and cleaner for installation. SFrame is simply deprecated and cannot be installed on Linux.
Solution 3:
See your point... Taking the same course and wanted to know how to do it also. My findings: The SFrame Package is licensed under a BSD license :)
Here is what I did:
pip install -U sframe
Then in ipython notebook:
importsframepeople= sframe.SFrame('people_wiki.gl/')
It worked.
Solution 4:
At this time I tried to import sframe but I got following error:
No module named 'sframe'
I tried to install sframe
with following:
pip install -U sframe
And you can't use conda
to install the sframe
on Linux or Windows, except on Mac devices.
long story short I got different errors.
I'm here to say, since this dataset is from either graphlab create
or SFrame
you can use following code using graphlab create
:
importgraphlabsf= graphlab.SFrame('home_data.gl/')
sf.save('home_data.csv' , format = 'csv')
And for those who have access to Online iPython Notebook
, no need to install the ghraphlab create
. Just use it as it is and you'll get the home_data.csv
dataset in your notebook.
Solution 5:
if you are taking the Coursera course, either enrolled or auditing - they have provided link to get grapghlab create with free student license valid for a year. And if you dont want to store it locally, you can avail the aws hosted free tier.
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