I created the histogram below:
and was wondering if instead of plotting the whole graph (in blue) I could just plot the top edge (in black)?
or just fit the line to match the top of the distribution?
my code is:
plt.hist(histogramData, bins=200, normed=True, cumulative=True, edgecolor='b', facecolor='None')
I think pylabs histogram codes uses numpys
np.histogram() function, yielding bins and counts; so if you use that together wit the standard
plot() command, you are done (just remember to also do the
np.cumsum()on the counts of the
np.histogram() for the cummulative look).
Regarding the comment, I quote from the
hist : array
The values of the histogram. See normed and weights for a description of the possible semantics.
bin edges : array of dtype float
Return the bin edges (length(hist)+1).
Thus, to plot your data in the desired way:
hist, bins = np.histogram(data, bins=200) plt.plot( bins[:-1], np.cumsum(hist) )
or if you want to be more precise, you could even put the data values in the bin center:
offset = bins[1:]-bins[:-1] plt.plot( bins[:-1]+offset, np.cumsum(hist) )