I am playing around with Arcgis, a mapping tool.
It has an api in python which I have downloaded and gotten to work properly (it imports and runs properly).
My problem is that the map is not being rendered within my IDE (VSCode, PyCharm or DataSpell). When I open the notebook inside of my browser, the map shows up properly and it can be interacted with etc. I believe the map itself is made using html but the IDE's im using are unable to display the maps. Is there a setting or a package I can download to show the map?
Expected Behavior:
This code:
from arcgis.gis import GIS
gis = GIS()
m = gis.map("Berlin")
display(m)
should display this.
Rather it displays this.
How would I get the HTML/Map render to be displayed inside of my IDE?
I am new to programming, so forgive the question if it seems simple.
I have been using Python and its libraries to make plots. I am attempting to import an interactive graph I plotted using the plotly graphing library and display it in the Jupyter notebook.
The graph is saved as an html file. I need the graph to remain as an html file to retain the graph's features and interactivity (zooming in/out, changing the scales, hiding certain data, etc).
So far, I have written out this bit of code:
import plotly
import os
os.chdir(r'C:\Users\alsha\Documents\CE-CERT - SIGI\CMC Data')
from IPython.display import HTML
HTML(filename="./CopperMountainCollegeEntireInterval.html")
I do not know what code to write to display the actual graph, I would appreciate any help I receive.
I am probably a year to late, but the easiest way would be to import IFrame from IPython.display and use it like
from IPython.display import IFrame
IFrame(src='path_to_html', width=500, height=500)
To complete Luca R answer (his solution works fine): In my case though, I noticed that to use IFrame, I needed to place the html file in the same directory as my notebook (or in a subdirectory under the notebook) and then use a relative path. It is probably due to common browser security settings (see more from https://community.plotly.com/t/displaying-html-file-generated-by-plotly-offline-in-a-jupyter-notebook/19586)
In my notebook, I can display image in markdown from the same folder like this:
<img src="files/adaptive_filter.png" alt="Schema of adaptive filter" height="100">
If I use the code without the files/ in src it does not work.
Now I changed the image and the ipython notebook is still showing the original one. I try to remove it from code and restart the notebook, it does not help.
What I should do? Are the images stored somewhere?
Thanks in advance.
I ran into this problem as well, where I was using a class of my own to output some python plots and embed them in an IPython notebook. A hack way to solve this would be to add a random argument to the end of your image url. For example
<img src="files/adaptive_filter.png?1" alt="Schema of adaptive filter" height="100">
will not be cached in the same place as
<img src="files/adaptive_filter.png?2" alt="Schema of adaptive filter" height="100">
A programatic way to do this would be to include the picture via python, instead of markdown, for instance:
# pick a random integer with 1 in 2 billion chance of getting the same
# integer twice
import random
__counter__ = random.randint(0,2e9)
# now use IPython's rich display to display the html image with the
# new argument
from IPython.display import HTML, display
display(HTML('<img src="files/adaptive_filter.png?%d" ' +
'alt="Schema of adaptive filter" ' +
'height="100">' % __counter__))
Should update the image everytime you run the code cell
I ran into exactly the same problem. The following procedure works for me:
In the folder where your .ipynb file resides, there is a cache directory called .ipynb_checkpoints/. There should be a file in that cache directory that has the same file name as the one you are working on. Now remove/delete that cache file in the .ipynb_checkpoint/ directory then reload the browser. You should be able to see the updated image.
My environment: macOS 10.14.2, Chrome browser 71.0, and Jupyter 1.0.0 installed through anaconda.
Hope this helps.
I had the same problem of images caching in jupyter and not updating when the file is modified when using matplotlib.pyplot. I fixed it by using IPython.display.Image
from IPython.display import Image
def saveImage(path, show=True):
plt.savefig(path, facecolor="white", bbox_inches='tight')
if show: return Image(path)
Then at the end of a code cell, something like saveImage('./someImage.png') will save and display an image.
Similarly Image('./someImage.png') will display an image from disk (without saving).
This seems to avoid caching issues, and the image displays in PDF exports correctly (see also Jupyter notebook matplotlib figures missing in exported pdf for the answer this is based on).
In my case, it helped reduce the size of the jupyter notebook, preventing it from crashing when rendering and updating matplotlib.pyplot charts.
In ipynb file directory,use ls command ,it will display a hidden
directory .ipynb_checkpoints
Delete the .ipynb_checkpoints directory ,then rerun the cell
code,you will see the newest image.
I would like to include image in a jupyter notebook.
If I did the following, it works :
from IPython.display import Image
Image("img/picture.png")
But I would like to include the images in a markdown cell and the following code gives a 404 error :
![title]("img/picture.png")
I also tried
![texte]("http://localhost:8888/img/picture.png")
But I still get the same error :
404 GET /notebooks/%22/home/user/folder/img/picture.png%22 (127.0.0.1) 2.74ms referer=http://localhost:8888/notebooks/notebook.ipynb
You mustn't use quotation marks around the name of the image files in markdown!
If you carefully read your error message, you will see the two %22 parts in the link. That is the html encoded quotation mark.
You have to change the line
![title]("img/picture.png")
to
UPDATE
It is assumed, that you have the following file structure and that you run the jupyter notebook command in the directory where the file example.ipynb (<-- contains the markdown for the image) is stored:
/
+-- example.ipynb
+-- img
+-- picture.png
There are several ways to post an image in Jupyter notebooks:
via HTML:
from IPython.display import Image
from IPython.core.display import HTML
Image(url= "http://my_site.com/my_picture.jpg")
You retain the ability to use HTML tags to resize, etc...
Image(url= "http://my_site.com/my_picture.jpg", width=100, height=100)
You can also display images stored locally, either via relative or absolute path.
PATH = "/Users/reblochonMasque/Documents/Drawings/"
Image(filename = PATH + "My_picture.jpg", width=100, height=100)
if the image it wider than the display settings: thanks
use unconfined=True to disable max-width confinement of the image
from IPython.core.display import Image, display
display(Image(url='https://i.ytimg.com/vi/j22DmsZEv30/maxresdefault.jpg', width=1900, unconfined=True))
or via markdown:
make sure the cell is a markdown cell, and not a code cell, thanks #游凯超 in the comments)
Please note that on some systems, the markdown does not allow white space in the filenames. Thanks to #CoffeeTableEspresso and #zebralamy in the comments)
(On macos, as long as you are on a markdown cell you would do like this: , and not worry about the white space).
for a web image:
as shown by #cristianmtr
Paying attention not to use either these quotes "" or those '' around the url.
or a local one:
demonstrated by #Sebastian
Alternatively, you can use a plain HTML <img src>, which allows you to change height and width and is still read by the markdown interpreter:
<img src="subdirectory/MyImage.png" width=60 height=60 />
Insert the image directly in the Jupyter notebook.
Note: You should have a local copy of the image on your computer
You can insert the image in the Jupyter notebook itself. This way you don't need to keep the image separately in the folder.
Steps:
Convert the cell to markdown by:
pressing M on the selected cell
OR
From menu bar, Cell > Cell Type > Markdown.
(Note: It's important to convert the cell to Markdown, otherwise the "Insert Image" option in Step 2 will not be active)
Now go to menu bar and select Edit -> Insert Image.
Select image from your disk and upload.
Press Ctrl+Enter or Shift+Enter.
This will make the image as part of the notebook and you don't need to upload in the directory or Github. I feel this looks more clean and not prone to broken URL issue.
Set cell mode to Markdown
Drag and drop your image into the cell. The following command will be created:
Execute/Run the cell and the image shows up.
The image is actually embedded in the ipynb Notebook and you don't need to mess around with separate files. This is unfortunately not working with Jupyter-Lab (v 1.1.4) yet.
Edit: Works in JupyterLab Version 1.2.6
I know this is not fully relevant, but since this answer is ranked first many a times when you search 'how to display images in Jupyter', please consider this answer as well.
You could use matplotlib to show an image as follows.
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
image = mpimg.imread("your_image.png")
plt.imshow(image)
plt.show()
I'm surprised no one here has mentioned the html cell magic option.
from the docs (IPython, but same for Jupyter)
%%html
Render the cell as a block of HTML
In addition to the other answers using HTML, either embedded into Markdown or using the %%HTML magic:
If you need to specify the image height, this will not work:
<img src="image.png" height=50> <-- will not work
That is because the CSS styling in Jupyter uses height: auto per default for the img tags, which overrides the HTML height attribute. You need to overwrite the CSS height attribute instead:
<img src="image.png" style="height:50px"> <-- works
Here's how you can do it with Markdown:
If you want to use the Jupyter Notebook API (and not the IPython one anymore), I find the ipywidgets Jupyter's sub-project. You have an Image widget. Docstring specifies that you have a value parameter which is a bytes. So you can do:
import requests
from ipywidgets import Image
Image(value=requests.get('https://octodex.github.com/images/yaktocat.png').content)
I agree, it's simpler to use the Markdown style. But it shows you the Image display Notebook API. You can also resize the image with the width and height parameters.
While a lot of the above answers give ways to embed an image using a file or with Python code, there is a way to embed an image in the jupyter notebook itself using only markdown and base64!
To view an image in the browser, you can visit the link data:image/png;base64,**image data here** for a base64-encoded PNG image, or data:image/jpg;base64,**image data here** for a base64-encoded JPG image. An example link can be found at the end of this answer.
To embed this into a markdown page, simply use a similar construct as the file answers, but with a base64 link instead: . Now your image is 100% embedded into your Jupyter Notebook file!
Example link: data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAABHNCSVQICAgIfAhkiAAAAD9JREFUGJW1jzEOADAIAqHx/1+mE4ltNXEpI3eJQknCIGsiHSLJB+aO/06PxOo/x2wBgKR2jCeEy0rOO6MDdzYQJRcVkl1NggAAAABJRU5ErkJggg==
Example markdown:
Here is a Solution for Jupyter and Python3:
I droped my images in a folder named ImageTest.
My directory is:
C:\Users\MyPcName\ImageTest\image.png
To show the image I used this expression:
Also watch out for / and \
This works for me in a markdown cell. Somehow I do not need to mention specifically if its an image or a simple file.
I made some research on this topic and found 4 ways for inserting images in Jupyter Notebook that I've described in my article.
1. Drag-and-drop image to the cell (simplest!)
Please switch the cell to markdown type and just drag and drop the image there. The image will be internally encoded as Base64 and its text representation will be included in the ipynb file. I recommend this only for small images because your notebook ipynb file can become very large and laggy (if too many large images are dropped in).
2. Insert hosted image
Upload the image to the server (might be Imgur or GitHub) and enter the image URL in the Markdown:
3. Insert local file image
You can use the above method with a local image but it needs to have the same root directory as the notebook.
In the Markdown:
or you can use Python:
from IPython import display
display.Image("path-to-image")
Convert image to Base64 (only for small images)
Similar to the first step with a difference that conversion to Base64 is done manually.
The Python code:
from IPython import display
from base64 import b64decode
base64_data = "iVBORw0KGgoAAAANSUhEUgAABL ... the rest of data "
display.Image(b64decode(base64_data))
Should be used with rather small images.
I'm personally using the second method with images hosted in the GitHub repository.
For some reason no other solutions work for me. Here what is working:
Change cell to markdown
Copy past:
<div>
<img src="attachment:name.png" width="600"/>
</div>
Make an empty line after </div> in the same cell and drop your image using mouse into this line.
You will see something like that:
<div>
<img src="attachment:name.png" width="600"/>
</div>
Copy yourname.jpg and past it instead of name.png
Remove .
The final result should look like:
<div>
<img src="attachment:yourname.jpg" width="600"/>
</div>
Run sell (shift+enter) and you will see your image
One thing I found is the path of your image must be relative to wherever the notebook was originally loaded from. if you cd to a different directory, such as Pictures your Markdown path is still relative to the original loading directory.
I'm assuming you mean in a markdown cell, inside a jupyter notebook. If so, here are the easiest ways for both:
From the local computer:
With your file browser, navigate to the directory containing your picture. Then, drag and drop it into the cell you want to embed the picture. It must already be in markdown mode or nothing will happen.
The pros of doing it this way are:
It's simple, just drag and drop
The cons of doing it this way:
You cannot copy and paste that link, and use it in any other cell. If you want to use the same picture in any other notebook cell, you will need to find the picture, drag and drop into the cell again.
You should consider a file management scheme that will allow you to find a picture again, if you plan on using allot of pictures in your notebooks.
This is an effective way of doing things that's worked for me.
From the web:
The easiest way is to simply find a picture using your web browser, right click and "Copy image", paste this into the cell you want the image displayed.
As above this does come with caveats in that you can't copy this and link and paste it into another cell. So if you plan on using the image again, you'll have to either paste into another cell, or save this image locally.
The images are embedded in the notebook so should work anywhere the notebook is opened.
Insert images that are present locally
Quick Solution : Watch this Video (1:36) https://www.youtube.com/watch?v=Vw1EZh1My8s
In short :
Go to the location where your .ipynb is present.
Create folder called images and paste image that you want insert in jupyter in that images folder
Open .ipynb file on browser and there click on cell and type :
There is a dropdown button which is mentioned as Code. Change that to Markdown
Hurray!! Now run the code by hitting shift + Enter
Reference image
Agreed, i had the same issues and this is what worked and what did not:
WORKED: <img src="Docs/pinoutDOIT32devkitv1.png" width="800"/>
*DOES NOT WORK: <img src="/Docs/pinoutDOIT32devkitv1.png" width="800"/>
DOES NOT WORK: <img src="./Docs/pinoutDOIT32devkitv1.png" width="800"/>*
When using the web based iPython Notebook/Jupyter capability, i created a notebook with markdown cells of text and code cells to display the code and plots for matplotlib and bokeh. I then download that as .ipynb open with sublime, copy and paste to git, then access it on nbviewer through my git account. When looking at it here:
http://nbviewer.ipython.org/github/angisgrate/test/blob/master/pyohio3.ipynb
in notebook view, it works fine. the markdown, code, and plot steps are all there.
When switching to slides view, the intent of the creation needed for the presentation, this code blocks occurs first, blocking out the first 10 markdown steps and all the matplotlib steps, rendering this weird code without the plots:
http://nbviewer.ipython.org/format/slides/github/angisgrate/test/blob/master/pyohio3.ipynb
How can i fix this asap?? I've looked through and there was a similar problem in 2014 with slides, but it yielded an actual "Error" that i'm not seeing, just this contorted view
I can't say for certain. It's possible in the nbviewer slides view, the execution of JavaScript is suppressed (this happens on GitHub notebook previews, for instance). All of the rendering in Bokeh actually happens from the JavaScript library BokehJS, so if this is the case, then Bokeh will not function, and there is nothing really that can be done. This is probably a question bset directed towards the nbviewer team/community to find out the specifics of how the slides view behaves (and is intended to behave) with respect to executing embedded JavaScript.
Edit: Looks like this is a known/discussed issue. More information here: Issue #484: Jupyter>>nbviewer slides Fail, notebook view fine by angisgrate in jupyter/nbviewer on GitHub