Hello Codecademy,

I am using Python 3

I used method numpy.random.normal() to generate normal distribution histogram and i was looking for a method to count numbers of elements between 2 data points. I have attached a snapshot as an example, and hatched with red the limits to find number of data points.

Can you please help me with an advice or a method

Looking forward for your response

Thank You

# Python support numpy method

just add together the datapoints in that range which you fed into the graph…?

or if you don’t mean sum then whatever operation

your graph is a list of numbers isn’t it?

Hello Ionatan,

May i share the code with you in order to have a better understanding what i am trying to get?

Hello,

I have tried with range function

count = 0

for rest in range(Limit, int(Limit_min)):

count += rest

return count

In this code block:

Limit = 0

Limit_min = is float number and convert it to integer

The code display 0 and data points within this range should be greater then 0 because Limit_min is - 0,038.

Is there any function in numpy to count number of datapoints between 2 limits?

not sure why you’d need numpy for that. look at each datapoint and compare its x value to your range

converting to int definitely doesn’t help you, that just means losing accuracy on where the range begins and ends

I have tried many solution did not succeed to count numbers of observation between 0 and Limit_min.

Please help me to find a solution or any other method how to count data_points in an array.

.