add Function to plot histograms of error values

helperFunctions.py

@@ -5,6 +5,25 @@ from scipy.optimize import curve_fit
 import functions as fu
 from numba import jit
 import matplotlib.pyplot as plt
+import time
+
+
+def plot_errors(list_errors):
+    names = ["error_bf", "error_vs", "error_sc", "error_f_inf",
+             "error_f_inf_slope", "error_f_zero", "error_f_zero_s", "f_zero_curve"]
+    data = np.array(list_errors)
+
+    fig, axes = plt.subplots(2, 4, figsize=(10, 8))
+
+    for i in range(8):
+        col = i % 4
+        row = int(i/4.0)
+
+        axes[row, col].hist(data[:, i])
+        axes[row, col].set_title(names[i])
+
+    plt.savefig("figures/error_distributions/error_distribution_{}.png".format(time.strftime("%H:%M:%S")))
+    plt.close()
 
 
 def fit_clipped_line(x, y):