from scipy import stats
from scipy.optimize import least_squares
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline

Counts = np.loadtxt('Counts.csv', delimiter = ',', unpack = True)
        # loads csv file as an array assigns columns to variables

# Number of counts = 10

AvgCounts = np.sum(Counts)/np.size(Counts)
AvgCountsError = np.sqrt(AvgCounts)
RateError = np.sqrt((AvgCountsError/AvgCounts)**2 + (timeError/time)**2)

time = 60

Rate = AvgCounts/time
print(Rate, "+-", RateError)