Added done Work

read_file.py

@@ -0,0 +1,44 @@
+import numpy as np
+
+def read_xy_file(path):
+    """
+    Reads a 2-column text file and returns x and y arrays.
+    Assumes the first line is a header.
+    """
+    x_vals = []
+    y_vals = []
+
+    with open(path, "r") as f:
+        lines = f.readlines()
+
+    # Skip header (line 0)
+    for line in lines[1:]:
+        if not line.strip():
+            continue  # skip empty lines
+        parts = line.split()
+        if len(parts) < 2:
+            continue  # skip malformed lines
+
+        x_vals.append(float(parts[0]))
+        y_vals.append(float(parts[1]))
+
+    return x_vals, y_vals
+
+def read_data_with_indices(filename):
+    """
+    Reads a file with one float per line and returns two arrays:
+    - data_array: the floats from the file
+    - index_array: the corresponding indices
+    """
+    # Read the data into a numpy array
+    data_array = np.loadtxt(filename, dtype=float)
+    
+    # Generate an array of indices
+    index_array = np.arange(len(data_array))
+    
+    return data_array, index_array
+
+if __name__ == "__main__":
+    x, y = read_xy_file("prak2/test.txt")
+    print(x)
+    print(y)