i need to make a graph that looks something like that!
the 3d plot
i have 4 dimentions points (time,x,y,z), and i want to make the graph with connecting lines+ the two little graphs with The probability distributions by the given data..
thanks
Since the question is not complete I would like to give you a hint :)
import matplotlib.pyplot as plt
Cheers, do post well constructed questions.
Related
So, I have Multiple plots in 2d from an estimative of depth from a basin I'm studying. I want to plot them in a 3D perspective so I can see the connection between them like lined according to their long/lat. I don't know if I can explain. I tried some interpolations methods To plot the layers as a 3d surface terrain, but none of them gave me the results I was looking for. I hope someone can help me.
These are the profiles
And I would like something like this
The data that I have looks like this:
I would like to produce a plot with axes like they are produced by the sklearn.metrics DetCurveDisplay function
https://scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html
I just can figure out the way to get it done. It looks symmetrical logarithmic with a center at 50%, but I don't know how to define this or make e.g. plt.scale('symlog') work with it.
Anyone an idea?
Thanks a lot in advance!
im really new to Python and struggling with a task right now.
Basically i have a Dataset containing two subsets of data.
I have to plot this data in matplotlib, which i did.
But now i have to change the colors of the two graphs (they have to be different)
I tried plt.plot("dataset", color=['red', 'blue']); which results in an error.
Thanks in advance
You can try this:
import matplotlib.pyplot
matplotlib.pyplot.scatter([1,2,3],[4,5,6],color=['red','green','blue'])
I'm trying to plot a surface over several points it should look like a deformed sphere.
I used the scatter function and plotted the points, but the surface function is not working (the window is empty).
To plot the surface, I think i need a mesh function. I try ed to mash x,y,z but it was not working. How i can generate the code, to put a surface over my points?.
Thanks for helping me.
I have the points xyz stored in a list. They are describing a deformed sphere and i have to plot somthing like this
(source: iop.org)
This question is hard to answer without any sample code of what you're doing, you might want to edit it to include a working example.
I suppose you are using the mplot3d class, have you checked the examples that are provided online here, here, and here? These to me look like what you're trying to produce.
I am trying to create a 2D Contour Map in Python that looks like this:
In this case, it is a map of chemical concentration for a number of points on the map. But for the sake of simplicity, we could just say it's elevation.
I am given the map, in this case 562 by 404px. I am given a number of X & Y coordinates with the given value at that point. I am not given enough points to smoothly connect the line, and sometimes very few data points to draw from. It's my understanding that Spline plots should be used to smoothly connect the points.
I see that there are a number of libraries out there for Python which assist in creation of the contour maps similar to this.
Matplotlib's Pyplot Contour looks promising.
Numpy also looks to have some potential
But to me, I don't see a clear winner. I'm not really sure where to start, being new to this programming graphical data such as this.
So my question really is, what's the best library to use? Simpler would be preferred. Any insight you could provide that would help get me started the proper way would be fantastic.
Thank you.
In the numpy example that you show, the author is actually using Matplotlib. While there are several plotting libraries, Matplotlib is the most popular for simple 2D plots like this. I'd probably use that unless there is a compelling reason not to.
A general strategy would be to try to find something that looks like what you want in the Matplotlib example gallery and then modify the source code. Another good source of high quality Matplotlib examples that I like is:
http://astroml.github.com/book_figures/
Numpy is actually a N-dimensional array object, not a plotting package.
You don't need every pixel with data. Simply mask your data array. Matplotlib will automatically plot the area that it can and leave other area blank.
I was having this same question. I found that matplotlib has interpolation which can be used to smoothly connect discrete X-Y points.
See the following docs for what helped me through:
Matplotlib's matplotlib.tri.LinearTriInterpolator docs.
Matplotlib's Contour Plot of Irregularly Spaced Data example
How I used the above resources loading x, y, z points in from a CSV to make a topomap end-to-end