Load local data into IPython notebook server

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陌清茗
陌清茗 2020-12-29 11:40

I did setup an ipython server for other people (in my company department) to have a chance to learn and work with python.

Now I wonder how people can load their own

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  • 2020-12-29 12:13

    An alternative way to achieve this with python:

    def jupyter_upload(token, filePath, resourceDstPath, jupyterUrl='http://localhost:8888'):
        """
            Uploads File to Jupyter Notebook Server
            ----------------------------------------
            :param token:
                The authorization token issued by Jupyter for authentification 
                (enabled by default as of version 4.3.0)
            :param filePath:
                The file path to the local content to be uploaded
    
            :param resourceDstPath:
                The path where resource should be placed.
                The destination directory must exist.
    
            :param jupyterUrl:
                The url to the jupyter server. Default value is typical localhost installation.
    
            :return: server response
    
        """
        import os
        import base64
        import urllib
        import json
        import requests
        dstPath = urllib.quote(resourceDstPath)
        dstUrl = '%s/api/contents/%s' % (jupyterUrl, dstPath)
        fileName = filePath[1 + filePath.rfind(os.sep):]
        headers = {}
        headers['Authorization'] = 'token '+token
        with open(filePath, 'r') as myfile:
            data=myfile.read()
            b64data=base64.encodestring(data)
            body = json.dumps({
                'content':b64data,
                'name': fileName,
                'path': resourceDstPath,
                'format': 'base64',
                'type':'file'
            })
            return requests.put(dstUrl, data=body, headers=headers, verify=True)
    
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  • If it is a text file, create a empty file, edit it and then copy/paste the content..

    You can do this to bypass the 25mb constraint

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  • 2020-12-29 12:18

    Since you have jupyter installed, all users should see the files/folders in the jupyter startup directory as well as its subdirectory. The new button on the jupyter notebook can be used to create a new file/folder or even a terminal. Files can be uploaded using drag-drop or click here feature highlighted below.

    enter image description here

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  • 2020-12-29 12:19

    Once you run jupyter ipython notebook, click on new --> Go to terminal and then simply run the following command :

    You can pass your files url here and get your file uploaded on the server and you are ready to go. Otherwise directly drag a file or upload the file from the upload button.

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