As Run gym-gazebo on Google Colaboratory says, you need to run a framebuffer server (that will emulate a graphical screen) and create a DISPLAY envvar pointing to it. !apt-get install -y xvfb # Install X Virtual Frame Buffer import os os.system(‘Xvfb :1 -screen 0 1600x1200x16 &’) # create virtual display with size 1600×1200 and 16 … Read more
Go to Google Colaboratory Create a new notebook Click snippet panel Click Camera Capture. Click insert Run script: Shift + Enter
I have found how to run Python 3.8 notebook on Colab. install Anaconda3 add (fake) google.colab library start jupyterlab access it with ngrok Here’s the code # install Anaconda3 !wget -qO ac.sh https://repo.anaconda.com/archive/Anaconda3-2020.07-Linux-x86_64.sh !bash ./ac.sh -b # a fake google.colab library !ln -s /usr/local/lib/python3.7/dist-packages/google \ /root/anaconda3/lib/python3.8/site-packages/google # start jupyterlab, which now has Python3 = 3.8 … Read more
EDIT: You probably want to give the official %tensorboard magic a go, available from TensorFlow 1.13 onward. Prior to the existence of the %tensorboard magic, the standard way to achieve this was to proxy network traffic to the Colab VM using ngrok. A Colab example can be found here. These are the steps (the code … Read more
Here’s an example of using a FUSE Drive interface to access your Drive files like local files: https://colab.research.google.com/notebook#fileId=1srw_HFWQ2SMgmWIawucXfusGzrj1_U0q In short: # Load the Drive helper and mount from google.colab import drive drive.mount(‘/content/drive’) After executing the code above, your Drive files will be present in /content/drive/My Drive. I’m guessing you also found the bundled example I/O … Read more
You can save it first, then import it. from google.colab import files src = list(files.upload().values())[0] open(‘mylib.py’,’wb’).write(src) import mylib Update (nov 2018): Now you can upload easily by click at [>] to open the left pane choose file tab click [upload] and choose your [mylib.py] import mylib Update (oct 2019): If you don’t want to upload … Read more
Yes. For a new R-notebook, use this link. (shorthand is colab.to/r ) You can learn from IRkernel demos, e.g. demo.ipynb Save a copy in your Google Drive, and make any changes you need. 2 more demos: Display.ipynb shows how to display HTML, images. Comm_Demo.ipynb shows how to communicate between R and JavaScript. See more details … Read more
Yes. You can install the library in Google Drive. Then add the path to sys.path. import os, sys from google.colab import drive drive.mount(‘/content/drive’) nb_path=”/content/notebooks” os.symlink(‘/content/drive/My Drive/Colab Notebooks’, nb_path) sys.path.insert(0,nb_path) Then you can install a library, for example, jdc, and specify the target. !pip install –target=$nb_path jdc Later, when you run the notebook again, you can … Read more
plotly version 4.x As of version 4, plotly renderers know about Colab, so the following is sufficient to display a figure in both Colab and Jupyter (and other notebooks like Kaggle, Azure, nteract): import plotly.graph_objects as go fig = go.Figure( go.Scatter(x=[1,2,3], y=[1,3,2] ) ) fig.show() plotly version 3.x Here’s an example showing the use of … Read more
An official example notebook demonstrating local file upload/download and integration with Drive and sheets is available here: https://colab.research.google.com/notebooks/io.ipynb The simplest way to share files is to mount your Google Drive. To do this, run the following in a code cell: from google.colab import drive drive.mount(‘/content/drive’) It will ask you to visit a link to ALLOW … Read more