Plotting dates on the x-axis with Python’s matplotlib
I am trying to plot information against dates. I have a list of dates in the format “01/02/1991”.
I am trying to plot information against dates. I have a list of dates in the format “01/02/1991”.
I’m new to Python and Matplotlib, I would like to simply apply colormap to an image and write the resulting image, without using axes, labels, titles or anything usually automatically added by matplotlib. Here is what I did:
I have used spline interpolation to smooth a time series and would also like to add a horizontal line to the plot. But there seems to be an issue that is out of my grips. Any assistance would be really helpful. Here is what I have:
I search how to plot something with less instruction as possible with Matplotlib but I don’t find any help for this in the documentation.
I have a range of points x and y stored in numpy arrays.
Those represent x(t) and y(t) where t=0…T-1
In a matplotlib figure, how can I make the font size for the tick labels using ax1.set_xticklabels() smaller?
I am looking to edit the formatting of the dates on the x-axis. The picture below shows how they appear on my bar graph by default. I would like to remove the repetition of ‘Dec’ and ‘2012’ and just have the actual date numbers along the x-axis.
Suppose I have three data sets:
Best way to describe what I want to achieve is using my own image: Now I have a lot of dead space in the spectra plot, especially between 5200 and 6300. My question is quite simple, how would I add in a nice little // break that looks something similar to this (image lifted from … Read more
I’m trying to display a grayscale image using matplotlib.pyplot.imshow(). My problem is that the grayscale image is displayed as a colormap. I need the grayscale because I want to draw on top of the image with color.