Created
December 31, 2013 21:31
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| from __future__ import division, print_function | |
| from scipy import stats | |
| import math | |
| x_file = open("X", "r") | |
| x_data = x_file.read().split() | |
| x_file.close() | |
| y_file = open("Y", "r") | |
| y_data = y_file.read().split() | |
| y_file.close() | |
| x = [int(i) for i in x_data] | |
| y = [int(i) for i in y_data] | |
| log_y = [math.log(float(i)) for i in y_data] | |
| slope, intercept, r_value, p_value, std_err = stats.linregress(x,log_y) | |
| print(slope, intercept, r_value, p_value, std_err) | |
| output = open("output", "w") | |
| s = "" | |
| for i in x: | |
| s += str(math.exp(slope*i + intercept))+"\n" | |
| output.write(s) | |
| output.close() | |
| output = open("log_output", "w") | |
| s = "" | |
| for i in x: | |
| s += str(slope*i + intercept)+"\n" | |
| output.write(s) | |
| output.close() | |
| output = open("log_y", "w") | |
| s = "" | |
| for i in log_y: | |
| s += str(i)+"\n" | |
| output.write(s) | |
| output.close() |
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