colors.py | Convert colors between rgb hsv and hex | Theme library

The c= parameter of ax.scatter can be given in several ways:

• A scalar or sequence of n numbers to be mapped to colors using cmap and norm. So a single number, or a list-like 1D sequence of numbers.
• A 2D array in which the rows are RGB or RGBA. E.g. something like [[1,0,0], [0,0,1]]. All these values need to be between 0 and 1. Moreover, there should be either 3 (for RGB) or 4 (for RGBA) values per entry.
• A sequence of colors of length n. E.g. ["red", "#B789C0", "turquoise"]
• A single color format string. E.g. "cornflowerblue".

Now, when an array of numbers is given, to be able to distinguish between the first and the second case, matplotlib just looks at the array dimension. If it is 1D, matplotlib assumes the first case. For 2D, it assumes the second case. Note that also an Nx1 or an 1xN array is considered 2D. You can use np.squeeze() to "squeeze out" the dummy second dimension.

Use the palette parameter instead of color

tl;dr Use the official Python distribution for Windows, or use Anaconda.

You should not use python-igraph with the Python included in MSYS2 unless you have a very good reason. This Python is not compatible with the official Python distribution on Windows, which means that you will not be able to install binary wheels from PyPI, and will need to compile everything from source. As you discovered, that is not always trivial.

If you have a truly good reason to use this Python with igraph, the simplest way is the following:

• Make sure you are using the appropriate subsystem (i.e. you launch the correct terminal). Here I am assuming you are using the MinGW64 one.
• Install the igraph C library from MSYS2: pacman -S mingw-w64-x86_64-igraph
• Make sure you are using pip from MSYS2: pacman -S mingw-w64-x86_64-python-pip
• Install texttable: pip install texttable
• Install igraph, and link to the existing C library: pip install igraph --install-option="--use-pkg-config"

By going this route, you are treading in uncharted waters. Expect problems that you will need to resolve on your own.

You could use color = np.repeat(np.arange(42), 100), repeating each color value as many times as there are columns in the data.

Here is an example. The number of rows is reduced to 4 and columns to 10 for easier debugging:

You can delete the files with this commands

Your code works for me even with 1000 nodes, try running this:

In pyvista version 0.32.1, the lines of code in pyvista/plotting/plotting.py function add_volume here are problematic:

Your code seems to work:

Since it is Python code, not just a string literal, use exec, but be aware if the code is malicious it will be executed: