Added Project and Report

project/plotting/conditioning.py

@@ -0,0 +1,32 @@
+# read a csv of two columns and plot them in 2d with seaborn
+
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+from config import CONDITIONING_RESULTS, PLOTS_PATH
+
+
+def plot_conditioning():
+    df = pd.read_csv(CONDITIONING_RESULTS.format('conditioning.csv'))
+    sns.set(style="whitegrid")
+    sns.set_context('paper')
+
+    plt.figure(figsize=(11, 8))
+    sns.lineplot(data=df, x='lambda', y='condnum', marker='o')
+
+    plt.xticks(fontsize=15)
+    plt.yticks(fontsize=15)
+
+    plt.xlabel('λ', fontsize=20)
+    plt.ylabel('k(X^)', fontsize=20)
+    plt.xscale('log')
+    plt.yscale('log')
+
+    plt.title('Condition number of X^ with respect to λ', fontsize=25, pad=20, fontweight='bold')
+
+    plt.savefig(PLOTS_PATH.format('conditioning', 'conditioning.png'), bbox_inches='tight', dpi=100)
+    plt.show()
+
+
+if __name__ == '__main__':
+    plot_conditioning()