I have made a histogram with plt.hist()
and I now have an array with the bins in this form:
bins = [0, 1, 2, 3, 4, 5] # n edges
Is there a easy way to get the middle from these bins? End result would be a list with n - 1
centers like:
centers = [0.5, 1.5, 2.5, 3.5, 4.5] # n - 1 centers
I don't know beforehand what the bins will be.
CodePudding user response:
This seems to work good enough:
x = np.array([0, 1, 2, 3, 4, 5, 6])
y = [(x[i] x[i 1]) / 2 for i in range(len(x[:-1]))]
print(y)
# [0.5, 1.5, 2.5, 3.5, 4.5, 5.5]
CodePudding user response:
In [136]: bins = np.array([0, 1, 2, 3, 4, 5])
In [137]: centers = 0.5*(bins[:-1] bins[1:])
In [138]: centers
Out[138]: array([0.5, 1.5, 2.5, 3.5, 4.5])