PythonDataScienceHandbook | Python Data Science Handbook : full text in Jupyter Notebooks | Machine Learning library

You can create a custom legend as follows:

from the first answer to How to plot day and month which is also an answer from question owner I found the solution:

Altair does not support contour plots, because they are not supported in Vega-Lite. The issue that tracks contour support in Vega-Lite can be found here: https://github.com/vega/vega-lite/issues/1919

Rows are grouping by values of list, because length of list is same like number of rows in DataFrame, it means:

Concerning the mirroring, consider that the projection involves an arbitrary choice of basis vectors. I'm in no way a machine-learning expert, so I cannot go into detail about the exact working of the algorithm. But if you run the same code several times, you may get all possible orientations, e.g. for 25 runs:

Altair has built-in time groupings using the TimeUnit transform, which can be used either via an explicit transform, or via encoding shorthands.

Here is an example of reproducing one of the charts from that section of the book – note that the Vega-Lite renderer becomes slow when data grows to tens of thousands of entries, so I use altair_data_server to serve the data and limit the chart to the first year:

@jakevdp builds in a nice way to do that, see here. In short, on each page he has an Open in Google Colab button:

@GoogleColab can open any @ProjectJupyter notebook directly from @github!
To run the notebook, just replace "http://github.com " with "http://colab.research.google.com/github/ " in the notebook URL, and it will be loaded into Colab.

Example: 02.00-Introduction-to-NumPy.ipynb becomes: https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/02.00-Introduction-to-NumPy.ipynb

By default, code will run on Colab's distant server, but it's also possible to run it locally, by clicking on top right's Connect to local runtime...:

I personally prefer the MyBinder project as a route. It will open temporary, active sessions with the contents of any Github repo, Github Gists, Gitlab repo, Zenodo archive, Dataverse repo, Datashare archive, Figshare archive, and others. Many repositories already include the necessary configuration files and even put a launch binder button them. Some don't but you can go to the form at MyBinder project and generate a session. That form will also generate a URL that you can use to target the public MyBinder system to open a session alter For example, this person posted the link to open a session for all of Jakes notebooks, you just got to the URL https://mybinder.org/v2/gh/jakevdp/PythonDataScienceHandbook/master?filepath=notebooks%2FIndex.ipynb to tell MyBinder to start a session. Then from the index page that comes up you can click on the link you listed above and run it. Jake included configuration files that MyBinder also recognizes. Note, for some repositories or archives you'll point MyBinder at, it won't have the necessary configuration files and so you can run %pip install or !conda install in the current session and continue on running code. Limitations include that you have to be concerned with not sharing anything you wouldn't mind be public, limited resources, and FTP is not allowed to avoid abuse.

Some others to get you started:

• A Gallery of Popular Binders (You'll note the one you referenced is listed in the number one position under Featured Projects there.)

• Analyze CMS Open Data in Jupyter Notebooks using Binder

• Tidal constituent database mapped with Datashader

• Sample Binder Repositories For example, the first one listed there includes the library seaborn installed in the environment that launches & uses it to plot a figure.

Altair features an image mark that can be used if you want to plot images that are available at a URL; for example:

"Two horizontal curves" is a set of data where you have two arrays y1 and y2 defined on a single support x.
Equally, "two vertical curves" would be a set of data where you have a single y support for two x arrays.