I have list of integers and want to get frequency of each integer. This was discussed here
The problem is that approach I\'m using gives me frequency of floating num
If you don't specify what bins to use, np.histogram
and pyplot.hist
will use a default setting, which is to use 10 equal bins. The left border of the 1st bin is the smallest value and the right border of the last bin is the largest.
This is why the bin borders are floating point numbers. You can use the bins
keyword arguments to enforce another choice of bins, e.g.:
plt.hist(data, bins=np.arange(data.min(), data.max()+1))
Edit: the easiest way to shift all bins to the left is probably just to subtract 0.5 from all bin borders:
plt.hist(data, bins=np.arange(data.min(), data.max()+1)-0.5)
Another way to achieve the same effect (not equivalent if non-integers are present):
plt.hist(data, bins=np.arange(data.min(), data.max()+1), align='left')