I can’t quite seem to figue out how to get my curve to be displayed smoothly instead of having so many sharp turns.
I am hoping to show a boltzmann probability distribution. With a nice smooth curve.
I have two lists given.
One, named “bin_edge”, represents the lower and upper borders of 24 bins by 25 values. The second, named “counts”, represents the according counts (=values) of each bin.
I created a histogram plot using data from a file and no problem. Now I wanted to superpose data from another file in the same histogram, so I do something like this
I’m currently using Matplotlib to create a histogram:
So I have a little problem. I have a data set in scipy that is already in the histogram format, so I have the center of the bins and the number of events per bin. How can I now plot is as a histogram. I tried just doing
I’d like to plot a normalized histogram from a vector using matplotlib. I tried the following:
I’m using matplotlib to make a histogram.
While reading up on numpy, I encountered the function numpy.histogram().
I saw on another question that I could use Counter() to count the number of occurrences in a set of strings. So if I have ['A','B','A','C','A','A'] I get Counter({'A':3,'B':1,'C':1}). But now, how can I use that information to build a histogram for example?
I am using seaborn to plot a distribution plot. I would like to plot multiple distributions on the same plot in different colors: