How can I download a json Dataframe in Google Colab?
I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.
Any help is appreciated - thanks!
google-colaboratory
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I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.
Any help is appreciated - thanks!
google-colaboratory
You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29
add a comment |
I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.
Any help is appreciated - thanks!
google-colaboratory
I've been working with a dataframe in google colab, and i convert it to a json format using df.to_json(), now i stuck on how to download it into my local disk (or google drive). i found the answers but in csv format, not json.
Any help is appreciated - thanks!
google-colaboratory
google-colaboratory
asked Nov 23 '18 at 8:23
adwib
31
31
You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29
add a comment |
You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29
You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29
You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29
add a comment |
1 Answer
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You can proceed in steps: 1) save the output of to_json()
to a file on the Colab backend. Then, use the built-in download helper
from google.colab import files
files.download('colab_file_name')
Here's a complete example that starts with a randomly generated DataFrame:
https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can proceed in steps: 1) save the output of to_json()
to a file on the Colab backend. Then, use the built-in download helper
from google.colab import files
files.download('colab_file_name')
Here's a complete example that starts with a randomly generated DataFrame:
https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg
add a comment |
You can proceed in steps: 1) save the output of to_json()
to a file on the Colab backend. Then, use the built-in download helper
from google.colab import files
files.download('colab_file_name')
Here's a complete example that starts with a randomly generated DataFrame:
https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg
add a comment |
You can proceed in steps: 1) save the output of to_json()
to a file on the Colab backend. Then, use the built-in download helper
from google.colab import files
files.download('colab_file_name')
Here's a complete example that starts with a randomly generated DataFrame:
https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg
You can proceed in steps: 1) save the output of to_json()
to a file on the Colab backend. Then, use the built-in download helper
from google.colab import files
files.download('colab_file_name')
Here's a complete example that starts with a randomly generated DataFrame:
https://colab.research.google.com/drive/1K95vU0gUJW4iJ4FaHxZ1HSQguOP1flEg
answered Nov 23 '18 at 16:29
Bob Smith
6,3122027
6,3122027
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You should edit your question to include your code
– Wayne Phipps
Nov 23 '18 at 8:29