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On the Jupyter Notebook I can create named outputs that are able to be updated like this:
from IPython.display import HTML, display
import time
def progress(value, max=100):
return HTML("""
<progress
value='{value}'
max='{max}',
style='width: 100%'
>
{value}
</progress>
""".format(value=value, max=max))
out = display(progress(0, 100), display_id=True)
for ii in range(101):
time.sleep(0.02)
out.update(progress(ii, 100))
Whereas in colab it doesn't update the progress bar.
How do you do this in colab?
799
Function Documentation Colab gives you the documentation on any function or class as a context-sensitive help. Now, hit TAB and you will see the documentation on cos in the popup window as shown in the screenshot here. Note that you need to type in open parenthesis before hitting TAB.
Update feb/2022. In Google Colab, open the file browser icon (left nav bar) and navigate to usr/local/share/jupyter/nbextensions as described above. Click the ellipsis menu on the nbextensions folder > Upload and select your image to upload.
First, open google drive & upload the image on the drive. Select the uploaded image, right-click on it, get a sharable link & copy it. Open Google Colab Notebook & add text block where you want to include the image. The general code to include an image is given below.
Good news! This now works in Colab. :)
(Previously, we didn't support update_display_data messages.)
Pasting the code for anyone with sharing issues:
from IPython.display import HTML, display
import time
def progress(value, max=100):
return HTML("""
<progress
value='{value}'
max='{max}',
style='width: 100%'
>
{value}
</progress>
""".format(value=value, max=max))
out = display(progress(0, 100), display_id=True)
for ii in range(101):
time.sleep(0.02)
out.update(progress(ii, 100))
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