Load local data into IPython notebook server

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 local data into the ipython notebook session on the remote server. Is there any way to do this?

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.

volhv

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)

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

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.

来源：https://stackoverflow.com/questions/29968829/load-local-data-into-ipython-notebook-server

标签

server

ipython