python 3.x - Iterating through values to find average equation of a line (Python3) -


i trying find equation of line within df

here fake data set explain:

 clicks       sales    5            10    5            11    10           16    10           20    10           18    15           28    15           26    ...          ...    100          200

what trying do:

calculate equation of line between able input number of clicks , have output of sales @ predicted level. the thing trying wrap brain around have many different line functions (e.g. there multiple sales each amount of clicks). how can iterate through df calculate 1 aggregate line function?

here's have accept 1 input @ time, create average or aggregate...

  def slope(self, target):         return slope(target.x - self.x, target.y - self.y)    def y_int(self, target):       # <= here's magic       return self.y - self.slope(target)*self.x    def line_function(self, target):         slope = self.slope(target)         y_int = self.y_int(target)         def fn(x):             return slope*x + y_int         return fn  = point(5, 10) # stuck here since - input!?   b = point(10, 16) # stuck here since - input!? line = a.line_function(b) print(line(x=10))

use scipy function scipy.stats.linregress fit data. maybe check https://en.wikipedia.org/wiki/linear_regression better understand linear regression.


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