Uploading files using Browse Button in Jupyter and Using/Saving them

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I came across this snippet for uploading files in Jupyter however I don't know how to save this file on the machine that executes the code or how to show the first 5 lines of the uploaded file. Basically I am looking for proper commands for accessing the file after it has been uploaded:

import io
from IPython.display import display
import fileupload

def _upload():

    _upload_widget = fileupload.FileUploadWidget()

    def _cb(change):
        decoded = io.StringIO(change['owner'].data.decode('utf-8'))
        filename = change['owner'].filename
        print('Uploaded `{}` ({:.2f} kB)'.format(
            filename, len(decoded.read()) / 2 **10))

    _upload_widget.observe(_cb, names='data')
    display(_upload_widget)

_upload()

_cb is called when the upload finishes. As described in the comment above, you can write to a file there, or store it in a variable. For example:

from IPython.display import display
import fileupload

uploader = fileupload.FileUploadWidget()

def _handle_upload(change):
    w = change['owner']
    with open(w.filename, 'wb') as f:
        f.write(w.data)
    print('Uploaded `{}` ({:.2f} kB)'.format(
        w.filename, len(w.data) / 2**10))

uploader.observe(_handle_upload, names='data')

display(uploader)

After the upload has finished, you can access the filename as:

uploader.filename

How to save a file into a directory in Jupyter notebook?, How do I move files into a folder in Jupyter? If you already have a Jupyter Notebook in your current directory that you want to view, find it in your files list and click it to open. To create a new notebook, go to New and select Notebook - Python 2. If you have other Jupyter Notebooks on your system that you want to use, you can click Upload and navigate to that particular file.


I stumbled into this thread ~2 years late. For those still confused about how to work with the fileupload widget I have built off of the excellent answer posted by minrk with some other usage examples below.

from IPython.display import display
import fileupload

uploader = fileupload.FileUploadWidget()

def _handle_upload(change):
    w = change['owner']
    with open(w.filename, 'wb') as f:
        f.write(w.data)
    print('Uploaded `{}` ({:.2f} kB)'.format(
        w.filename, len(w.data) / 2**10))

uploader.observe(_handle_upload, names='data')

display(uploader)

From the widget documentation:

class FileUploadWidget(ipywidgets.DOMWidget):
    '''File Upload Widget.
    This widget provides file upload using `FileReader`.
    '''
    _view_name = traitlets.Unicode('FileUploadView').tag(sync=True)
    _view_module = traitlets.Unicode('fileupload').tag(sync=True)

    label = traitlets.Unicode(help='Label on button.').tag(sync=True)
    filename = traitlets.Unicode(help='Filename of `data`.').tag(sync=True)
    data_base64 = traitlets.Unicode(help='File content, base64 encoded.'
                                    ).tag(sync=True)
    data = traitlets.Bytes(help='File content.')

    def __init__(self, label="Browse", *args, **kwargs):
        super(FileUploadWidget, self).__init__(*args, **kwargs)
        self._dom_classes += ('widget_item', 'btn-group')
        self.label = label

    def _data_base64_changed(self, *args):
        self.data = base64.b64decode(self.data_base64.split(',', 1)[1])

Get the data in bytestring format:

uploader.data

Get the data in a regular utf-8 string:

datastr= str(uploader.data,'utf-8')

Make a new pandas dataframe from the utf-8 string (e.g. from a .csv input):

import pandas as pd
from io import StringIO

datatbl = StringIO(datastr)
newdf = pd.read_table(datatbl,sep=',',index_col=None)

Jupyter file upload widget, Uploading files using Browse Button in Jupyter and Using/Saving them. I'd heard browser. When you add Jupyter Notebook or IPython Notebook files with a . Convert it into a single Zip file and upload that. to unzip the folder use the code down bellow. import zipfile as zf files = zf.ZipFile("ZippedFolder.zip", 'r') files.extractall('directory to extract') files.close() However, sometimes you may need to download several files from notebook.


I am working on ML with Jupyter notebook, and I was looking for a solution to select the local files containing the datasets by browsing amongst the local file system. Although, the question here refers more to uploading than selecting a file. I am putting here a snippet that I found here because when I was looking for a solution for my particular case, the result of the search took me several times to here.

import os
import ipywidgets as widgets

class FileBrowser(object):
    def __init__(self):
        self.path = os.getcwd()
        self._update_files()

    def _update_files(self):
        self.files = list()
        self.dirs = list()
        if(os.path.isdir(self.path)):
            for f in os.listdir(self.path):
                ff = os.path.join(self.path, f)
                if os.path.isdir(ff):
                    self.dirs.append(f)
                else:
                    self.files.append(f)

    def widget(self):
        box = widgets.VBox()
        self._update(box)
        return box

    def _update(self, box):

        def on_click(b):
            if b.description == '..':
                self.path = os.path.split(self.path)[0]
            else:
                self.path = os.path.join(self.path, b.description)
            self._update_files()
            self._update(box)

        buttons = []
        if self.files:
            button = widgets.Button(description='..', background_color='#d0d0ff')
            button.on_click(on_click)
            buttons.append(button)
        for f in self.dirs:
            button = widgets.Button(description=f, background_color='#d0d0ff')
            button.on_click(on_click)
            buttons.append(button)
        for f in self.files:
            button = widgets.Button(description=f)
            button.on_click(on_click)
            buttons.append(button)
        box.children = tuple([widgets.HTML("<h2>%s</h2>" % (self.path,))] + buttons)

And to use it:

f = FileBrowser()
f.widget()
#   <interact with widget, select a path>
# in a separate cell:
f.path # returns the selected path

Working with Files, Creating Files and Activities¶. Create new files or activities by clicking the + button at the top of the file browser. This will open a new Launcher  Create a ipywidget capable of uploading files (either a list of paths as strings and/or their binary contents) Ideally a user would initialize this widget, display it, then on making a selection a list of file paths as strings would then be available to access through jupyter notebook.


How to Upload/Download Files to/from Notebook in my Local machine, Every notebook is tightly coupled with a Spark service on Bluemix. You can also I saved my Pandas or Spark dataframe to a file in a notebook. Where did it go  I would like to make a widget in Ipython Notebook 3.x or 4.x (Jupyter, Python 3) for remote file upload which allows a user to select multiple files in the browser's file picker when uploading. Unfortunatelly, I have no clue about the javascript side. I have found blueimp's widgets, however, I have no idea how to use them inside a notebook.


python, files using Browse Button in Jupyter and Using/Saving them -. i came across this snippet uploading files in jupyter don't know how save file  Most of them are used to working with data hosted on their own laptop. that will help users create data frames in one click using the Jupyter Notebooks interface. Upload data to Object Storage


Adding data to the JupyterHub, The easiest way to add data to your JupyterHub is to use the “Upload” user interface. To do so, follow these steps: First, navigate to the Jupyter Notebook interface home page. Click the “Upload” button to open the file chooser window​. These files will now be on your JupyterHub, your home user's home directory. Select one of the Joy of Jupyter notebooks and any required auxiliary file. Don't select the turtle graphics notebook: it won't work in Try Jupyter!. Click on the 'OK' or 'Choose' button of the file dialog. The notebook and auxiliary file you selected will now appear at the start of the list of files, with blue 'Upload' buttons. Click on those buttons to confirm the uploading. (The audio notebook and sound file are relatively large and may take a little while to upload.) After the upload