From b431fe920dd3779e9dcd56f77bfda7e5e2e14fc4 Mon Sep 17 00:00:00 2001
From: Oossooss11 <oelsayed606@gmail.com>
Date: Mon, 27 Mar 2023 22:54:17 +0200
Subject: [PATCH] siiiiiiiiiiii

---
 py_scripts/digger.py | 57 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 57 insertions(+)

diff --git a/py_scripts/digger.py b/py_scripts/digger.py
index 049a6bb..7607f6b 100644
--- a/py_scripts/digger.py
+++ b/py_scripts/digger.py
@@ -1,3 +1,60 @@
 # Getting and combining data
 import pandas as pd
 import numpy as np
+
+#reading the data
+# -> MAKE SURE OF THE DATA FRAMES NAMES PEFORE YOU RUN IT
+
+
+
+
+df1= pd.read_csv('output_6th_df.csv')
+df2= pd.read_csv('vgsales-12-4-2019-short.csv')
+
+
+#----------------------------------------------------------
+
+
+#print(pf1.head)
+#print(pf2.head)
+
+#---------------------------------------------------------
+
+
+#                    merging
+
+df_compine= df1.merge(df2, left_on='Name',right_on='Name',how='left')
+print(df_compine)
+df_compine.to_csv('output_final_df.csv')
+df = df_compine
+output_df = 'N There U Have It'
+
+#---------------------------------------------------------
+
+
+
+#                          CLEANING -> REMOVING THE WORD REVIOW AND ANY THING AFTER IT
+
+
+
+
+# nuke=df1['GameName'].to_list()
+# nuke2 = list()
+
+# for orphan in nuke : 
+#     orphan = orphan.split('Review')[0]
+#     nuke2.append(orphan)
+
+# df1['GameName']=nuke
+
+
+# print(df1)
+
+# nuke_frame = pd.DataFrame(nuke2)
+# df1=df1.drop(columns=['GameName'])
+
+# df1['Name'] = nuke2
+
+# df1.to_csv('output_6th_df.csv')
+# print(df1)
+