Start implementing plot functionality

src/plot.py

@@ -0,0 +1,45 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+import seaborn as sns
+
+sns.set_theme()
+sns.dark_palette("seagreen")
+
+"""Write to file (for dense matrix): 
+Line give size of matrix (column give number of transformations until convergence)
+    N   1   (2   3   4   5)
+    3
+    6
+    9
+    12
+    15
+"""
+
+def read_data(filename: str) -> tuple:
+    N = []
+    T = []
+    with open(filename, "r") as f:
+        lines = f.readlines()
+        for line in lines:
+            n_i, t_i = line.strip().split(",")
+            N.append(float(n_i))
+            T.append(float(t_i))
+    return (N, T)
+
+
+
+def plot_similarity_transformations(N: np.ndarray, T: np.ndarray) -> None:
+    fig, ax = plt.subplots()
+    ax.plot(N, T, label='Transformations')
+    ax.set_xlabel('N')
+    ax.set_ylabel('Similarity transformations')
+    ax.set_xlim(xmin=N[0], xmax=N[-1]) 
+    fig.savefig("similarity_transformation.pdf")
+
+def plot_eigenvectors():
+    pass 
+
+
+if __name__ == '__main__':
+    pass