added lab 1

lab1/genrate_data.py

@@ -0,0 +1,13 @@
+import pandas as pd
+import numpy as np
+
+OUT_PATH="./data/"
+FILE_COUNT=5
+ROW_COUNT=int(1E5)
+
+for file_num in range(FILE_COUNT):
+    rand_numbers=pd.DataFrame(np.random.rand(ROW_COUNT),columns=["Numbers"])
+    rand_letters=pd.DataFrame(np.random.randint(0,4,(ROW_COUNT)),columns=["Letters"]).replace({0:"A",1:"B",2:"C",3:"D"})
+    data=pd.concat((rand_letters,rand_numbers),axis=1)
+    with open(OUT_PATH+f"sample_{file_num+1}.csv","w",encoding="utf-8") as F:
+        data.to_csv(F,index=None)