I made a histogram of the 'cdf' (cumulative distribution) of a function. The histogram is basically No. of counts vs. luminosity. Now, how do I extract data points from a histogram? I need actual values of Luminosities.
I am using Matplotlib in Python, and any online book, example, tutorial etc is not helping.
l= [ss.gammainccinv(aa+1, u[i]) for i in a] #is the cdf function
plt.hist(l, 50, histtype= 'step', align='mid') #is the histogram
plt.show()
I am not sure if I should align the bins to the edges or the mid point, but all I need is a list of l's.
Any suggestions would be greatly appreciated!
You've already got a list of ls, so I'm not sure what you mean by that last statement, so maybe I've misinterpreted the question.
To get the values from a histogram, plt.hist returns them, so all you have to do is save them.
If you don't save them, the interpreter just prints the output:
In [34]: x = np.random.rand(100)
In [35]: plt.hist(x)
Out[35]:
(array([ 11., 9., 10., 6., 8., 8., 10., 10., 11., 17.]),
array([ 0.00158591, 0.100731 , 0.19987608, 0.29902116, 0.39816624,
0.49731133, 0.59645641, 0.69560149, 0.79474657, 0.89389165,
0.99303674]),
<a list of 10 Patch objects>)
So, to save them, do:
counts, bins, bars = plt.hist(x)
