add visualise.py, update readme.md

p2/README.md

@@ -1,6 +1,7 @@
 # p2
 
 this is a Go subproject containing code for task no. 2.
+Python is used for visualisation.
 
 ### compile
 ```sh

p2/visualise.py

@@ -0,0 +1,43 @@
+import seaborn as sb
+import pandas as pd
+import scipy
+import matplotlib.pyplot as plt
+
+data_uy=pd.read_csv('data/m.csv')
+#  head(data_uy)
+
+correlation_result=scipy.stats.pearsonr(data_uy['u'], data_uy['y'])
+print(correlation_result)
+
+p = sb.lmplot(
+		data=data_uy,
+		x='u',
+		y='y',
+		fit_reg=True,
+		height=8,
+	)
+p.set(title='Correlation UY')
+p.savefig('res/uy-correlation-analysis.png')
+plt.clf()
+
+lp = sb.lineplot(data=data_uy['u'])
+lp.set(
+		title='Signal u',
+		xlabel='samples',
+		ylabel='u',
+	)
+fig = lp.get_figure()
+fig.subplots_adjust(top=.97)
+fig.savefig('res/signal_u.png')
+plt.clf()
+
+lp = sb.lineplot(data=data_uy['y'])
+lp.set(
+		title='Signal y',
+		xlabel='samples',
+		ylabel='y',
+	)
+fig = lp.get_figure()
+fig.subplots_adjust(top=.97)
+fig.savefig('res/signal_y.png')
+plt.clf()