我编写了几个函数来计算一个样本响应的nps和误差范围。
我不想返回第一个函数的结果,然后将其传递给另一个函数以使用它们。
所以我想创建一个全局变量,它可以在它创建的函数之外使用,这样它就可以在其他函数中使用而不必传递它们。
但它似乎抛出了错误。你知道怎么做到吗?我不想使用类并将这些变量作为类变量。
def nps_score(responses):
"""Function to get the NPS score from the
Survey responses
"""
global sample_size = len(responses)
global promoters_proportion = sum([1 for x in responses if x >=9])/sample_size
global detractors_proprotion= sum([1 for x in responses if x<=6])/sample_size
global sample_NPS= promoters_proportion - detractors_proportion
print("Sample Net Promoter Score(NPS) is {} or {}%".format(sample_NPS,sample_NPS*100))
def moe():
""" Calculate the margin of error
of the sample NPS
"""
# variance/standard deviation of the sample NPS using
# Discrete random variable variance calculation
sample_variance= (1-sample_NPS)^2*promoters_proportion + (-1-sample_NPS)^2*detractors_proportion
sample_sd= sqrt(sample_variance)
# Standard Error of sample distribution
standard_error= sample_sd/sqrt(sample_size)
#Marging of Error (MOE) for 95% Confidence level
moe= 1.96* standard_error
print("Margin of Error for sample_NPS of {}% for 95% Confidence Level is: {}%".format(sample_NPS*100,moe*100))
