From f560c245740c4fd897d5429ab7b11b1a7a174b57 Mon Sep 17 00:00:00 2001
From: Janis Hutz <development@janishutz.com>
Date: Mon, 26 May 2025 17:16:31 +0200
Subject: [PATCH] fit.py: Update to improve syntax

---
 plot_generator/fit.py | 61 +++++++++++++++++++++----------------------
 1 file changed, 30 insertions(+), 31 deletions(-)

diff --git a/plot_generator/fit.py b/plot_generator/fit.py
index 5dc24d3..b5234ff 100644
--- a/plot_generator/fit.py
+++ b/plot_generator/fit.py
@@ -1,36 +1,29 @@
 import csv
 import numpy as np
 import matplotlib.pyplot as plt
-go = 0
 
-n = int(input("Aktuelle Sondennummer: "))
+n = int(input("Sensor number to be printed: "))
 
-try:
-    imp = open("Sonden2021.csv", "r")
-    go = 1
-except FileNotFoundError:
-    print("Failed to open file (non-existent or corrupted?)")
-    go = 0
+file = ""
 
-if go == 1:
-    reader = csv.reader(imp, delimiter=',')
-    rohdaten = list(reader)
-    rohdaten.sort(key=lambda imp: float(imp[2]))
-    lenght = len(rohdaten)
+def generate_plot():
+    reader = csv.reader(file, delimiter=',')
+    data = list(reader)
+    data.sort(key=lambda imp: float(imp[2]))
+    lenght = len(data)
     x = []
     y = []
 
-    for i in range(lenght):
-        extract = rohdaten.pop(0)
-        sondennummer = int(extract.pop(0))
-        if sondennummer == n:
+    for _ in range(lenght):
+        extract = data.pop(0)
+        sensor = int(extract.pop(0))
+        if sensor == n:
             ye = extract.pop(0)
             xe = extract.pop(0)
             y.append(float(ye))
             x.append(float(xe))
 
     fit = np.polyfit(x, y, 2)
-    print(fit)
 
     formula = f"F(U) = {round(float(fit[0]), 4)}U^2+{round(float(fit[1]), 4)}U+{round(float(fit[2]), 4)}"
 
@@ -38,24 +31,30 @@ if go == 1:
 
     plt.plot(x, fit_fn(x), color="BLUE", label="T(U)")
 
-    plt.scatter(x, y, color="MAGENTA", marker="o", label="Messsdaten")
-    plt.ylabel("Temperatur")
-    plt.xlabel("Spannung")
-    titel = 'Temperatursonde MCP9701A Nummer: {}'.format(n)
-    plt.title(titel)
-    plt.axis([0.6, 2, 15, 70])
+    plt.scatter(x, y, color="MAGENTA", marker="o", label="Data")
+    plt.ylabel("Temperature")
+    plt.xlabel("Voltage")
+    title = 'Sensor MCP9701A #{}'.format(n)
+    plt.title(title)
+    plt.axis((0.6, 2.0, 15.0, 70.0))
     plt.legend(loc="lower right")
     plt.annotate(formula, xy=(0.85, 60))
     plt.grid(True)
     plt.show()
 
-    saveit = input("Soll der Graph gespeichert werden? (y/n) ").lower()
+    saveit = input("Do you wish to save the plot? (y/N) ").lower()
 
     if saveit == "y":
-        plt.savefig("Sonde"+str(n)+".png")
-        plt.savefig("Sonde"+str(n)+".pdf", format="pdf")
-        plt.savefig("Sonde"+str(n)+".svg", format="svg")
-        print("saved images")
+        plt.savefig("Sensor"+str(n)+".png")
+        plt.savefig("Sensor"+str(n)+".pdf", format="pdf")
+        plt.savefig("Sensor"+str(n)+".svg", format="svg")
+        print("==> Images saved")
     else:
-        print("discarded images")
-        
+        print("==> Images discarded")
+
+filename = input("Please enter a file path to the csv file to be plotted: ")
+try:
+    file = open(filename, "r")
+    generate_plot()
+except FileNotFoundError:
+    print("Failed to open file (non-existent or corrupted?)")