Matplotlib: Annotating a 3D scatter plot
I’m trying to generate a 3D scatter plot using Matplotlib. I would like to annotate individual points like the 2D case here:
Matplotlib: How to put individual tags for a scatter plot.
I’m trying to generate a 3D scatter plot using Matplotlib. I would like to annotate individual points like the 2D case here:
Matplotlib: How to put individual tags for a scatter plot.
I have a list containing various string values. I want to split the list whenever I see WORD. The result will be a list of lists (which will be the sublists of original list) containing exactly one instance of the WORD I can do this using a loop but is there a more pythonic way to do achieve this ?
The question Given a Series s and DataFrame df, how do I operate on each column of df with s? df = pd.DataFrame( [[1, 2, 3], [4, 5, 6]], index=[0, 1], columns=['a', 'b', 'c'] ) s = pd.Series([3, 14], index=[0, 1]) When I attempt to add them, I get all np.nan df + s a … Read more
How can I test if a list contains another list (ie. it’s a contiguous subsequence). Say there was a function called contains:
My PyQt application no longer prints the error (stderr?) to the console.
I have a DataFrame object similar to this one:
I want to get this:
There are many questions and answers that touch upon this topic one way or another. With this contribution I’d like to clearly show why an easy approch such as marker = {'color' : 'red'} will work for plotly.graph_objects (go), but color='red' will not for plotly.express (px) although color is an attribute of both px.Line and px.Scatter. And I’d like to demonstrate why it’s awesome that it doesn’t.
I’ve just started coding in python, and my general coding skills are fairly rusty 🙁 so please be a bit patient
Until version 3, Python’s division operator, /, behaved like C’s division operator when presented with two integer arguments: it returns an integer result that’s truncated down when there would be a fractional part. See: PEP 238