I have a script where I do a lot of plots of a couple of data files. Now, I want to smoothen the curves with smooth csplines.
Unfortunately, I would have to manually add this to every single plot command, which is neither beautiful, nor very elegant (and harder to maintain).
So my question is: Is there a way to set something somehow or any workaround so that I automatically smooth every plot?
Thank you guys in advance,
BUFU
No, you cannot set the smoothing globally. In order to improve maintenability you can use macros to define the options in one place an use them for every plot:
set macros
opt = "smooth csplines"
plot 'a' #opt
Related
I am unable to produce any charts in Python (matplotlib 3.5.1) with the pandas DataFrame plot() method. A window opens and the axes return value is <AxesSubplot:> as opposed to returning an object like that prints as somethig like <matplotlib.axes._subplots.AxesSubplot at 0x7f3958bcf9d0>, which is what I usually see when the plot works.
The backend is QtAgg and as far as I can tell from a poke between fora pages that report a similar problem this should be all right. This is also not a problem with needing to run matplotlib.pyplot.ion() as I see a window open, but it is black with no plot in it.
Any advice would be useful, thanks!
I have resolved the (mis)behaviour without really being sure that I have resolved the issue responsible for this misbehaviour.
As looked around for a way out, I found this discussion (How to change backends in matplotlib / Python) which made a lot of getting the back end setting right. Wondering if that would make a difference, I changed the back end. The QtAgg back end loaded by default from the matplotlibrc file and so following the instructions in the post on how to permanently change the back end, I modified the file so that the back end is now Qt5Agg. The data now plots.
In my project, I use Apexcharts to display a candle bars chart. Actually, many of them. But I need to be able to highlight a certain part of the candle series on the chart. I couldn't find a way in the docs. Maybe there is, but not that straight, like maybe splitting the series in two and displaying them with different colors?
The latter, though, I've tried and it looks like it breaks the chart, because they dont not even look like a single series anymore, with weird offsets and missing candles.
Can someone at least give a hint how to achieve highlighting on a series?
After I deleted unnecessary edges I got these weird lines. So, how do I remove them?
It's not the first time I get these lines on my models, but I can't find any questions asking to solve this.
You could set up some loop cuts (CTRL+R) on that mesh, or try CTRL+T, this will triangulate the mesh, sometimes this can help in these kind of situation. ALT+J de-triangulates to make quads if you need it to make N-Gons.
I'm trying to compare different learning-rate-decays using Tensorflow. Therefore I visualize the cost functions in Tensorboard ('EVENTS'-tab). My problem is that the different plots of the functions are in very similar colors making it hard to compare them. Is there any possibility to change those colors?
Just create different summary writes with different log files for each learning rate. Then launch the tensorboard tool using:
tensorboard --logdir=tag1:/path/to/summary/one,tag2:/path/to/summary/two
There's currently no way to change those colors, but a recent release has made the colors more differentiated. Try updating and seeing if that helps.
This is very far from an actual solution, but in case someone only wants to change the colors for a screenshot in a paper or presentation its a quick workaround:
Open your browser dev tools (F12)
Search for the color code you want to change (the default orange is #ff7043) and replace it with the color you want
As suggested here, creating (and pointing tensorboard to) a symlink of a run's logdir is one workaround to change the color used to plot that run.
As seen on the picture below the x-axis is very crowded in this example. I do know that the scale can be changed in Core-Plotr via:
axisSet.xAxis.majorIntervalLength = CPTDecimalFromFloat(1.0f);
...so it will make it easier to read.
My question is if there is a way to automate the scaling of the axis so when it get too crowdy the axis label change to continue to be readable?
I guess that one way is to check the number of data points and change via code but it would be convenient if it is available via Core-Plot.
Here is a picture that shows my test graph:
When is get at this stage i would like to change it so it shows every 5th number and then every 10th etc.
Try the CPTAxisLabelingPolicyAutomatic labeling policy. There's a demo in the Plot Gallery example app that shows all of the available labeling policies.