Improvements and usability

README.md

@@ -1,4 +1,4 @@
-# Chat_Analyzer<br><br>
+# WhatsApp Chat Analyzer<br><br>
 
 [![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)<br>
 [![GitHub license](https://img.shields.io/github/license/Naereen/StrapDown.js.svg)](https://github.com/subahanii/Whatsapp-Chat-Analyzer/blob/master/LICENSE)
@@ -7,13 +7,13 @@
 
 
 ## INTRODUCTION:
-This script for whatsapp group/individual chat analyzer .<br>
-This script is able to analyse all activity happened in whatsapp group and visualize all thing through matplotlib library.
+This script analysis whatsApp group/individual chat.<br>
+This script is able to analyse all the activities happened in a whatsApp group or chat and visualize all thing in a graph through matplotlib library.
 <br><br><br>
 ## Application:
 1- Count total chat.<br>
 2- Count total chat person wise.<br>
-3- showing top active member.<br>
+3- Showing top active member.<br>
 4- How many messages are deleted during conversation.<br>
 5- Identify more conversation days.<br>
 6- Identify current Admin and how many admin changed till now.<br>
@@ -28,18 +28,34 @@ This script is able to analyse all activity happened in whatsapp group and visua
 
 <br><br><br>
 ## Prerequisites:
-1- Python interprater with matplotlib,pandas,NumPy library*<br>
+1- Python interpreter with matplotlib, pandas and NumPy library*<br>
 2- Jupyter NoteBook (optional)<br>
-3- Whatsapp chat data* (.txt file)--->Dataset<br>
-## How to found chat data from Whatsapp:
-1-open whatsapp group<br>
-2-tap right-uper corner and goto more option<br>
-3- tap on "Export Chat" <br>
-4- tap on "Without Media"<br>
-5- finally you will get .txt file well done.<br>
+3- whatsApp chat data* (.txt file)--->Dataset<br>
+
+## Environment setup
+1) Clone repo to your machine.
+   ```sh
+   git clone https://github.com/subahanii/Whatsapp-Chat-Analyzer
+   ```
+2) Install dependencies.
+    ```sh
+    pip install -r requirements.txt
+   ```
+ 3) Set path of the whatsApp chat data* (.txt file) in "chatAnalyzer.py" file
+    ```python
+    file_path = "C:\\Users\\asus\\Downloads\\WhatsApp Chat with Unemployed peeps.txt"
+    ```
+4) Finally you can run the program.<br>
+
+## How to find chat data from whatsApp:
+1- Open whatsApp group<br>
+2- Tap right-upper corner and goto more option<br>
+3- Tap on "Export Chat" <br>
+4- Tap on "Without Media"<br>
+5- Finally you will get the .txt file, well done.<br>
 
 ### Contributions :smiley:[![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/subahanii/Whatsapp-Chat-Analyzer/issues)
-Contributions always welcome .
+Contributions are always welcome.
 
 ### Thank You.:pray:
 ##### If you like this please appreciate by giving start and Fork this repo.Thank You...! :clap: :clap: :clap:

chatAnalyzer.py

@@ -1,112 +1,111 @@
 """
 Author : Ghulam Mohiyuddin
-What is this: This is a whatsapp group/indivisual chat analyser 
+What is this: This is a whatsapp group/indivisual chat analyser
 Note: This is not a final, wait for more functionality
 """
 
-
-
 import os
 import re
 import pandas as pd
 import matplotlib.pyplot as plt
-link="C:\\Users\\asus\\Downloads\\WhatsApp Chat with Unemployed peeps.txt"
-tit=link.split("\\")
-title=tit[-1]
-title1=title[:len(title)-4:]
-print(title1)
-cht=open(link,encoding="utf8")
-list_of_date_time_author_msg=[]
-total_msg=0
-total_msg_and_notification=0
-list_of_notification=[]
-total_valid_msg=0
+
+file_path = "C:\\Users\\MEEZAN MALEK\\Desktop\\WhatsApp Chat with Takvim.txt"
+array_of_path = file_path.split("\\")
+
+# Selecting the last element of array as title and removing last 4 characters ".txt"
+title = (array_of_path[-1])[:  len(array_of_path[-1]) - 4]
+print(title)
+
+cht = open(file_path, encoding="utf8")
+list_of_date_time_author_msg = []
+total_msg = 0
+total_msg_and_notification = 0
+list_of_notification = []
+total_valid_msg = 0
+
 
 def startsWithDate(s):
-    #ReGex finding date and time
+    # ReGex finding date and time
     pattern = "^([0-2][0-9]|(3)[0-1])(\/)(([0-9])|((0)[0-9])|((1)[0-2]))(\/)(\d{2}|\d{4}), ([0-9][0-9]|[0-9]):([0-9][0-9])"
     result = re.match(pattern, s)
     if result:
         return True
     return False
 
-def findColon(s):#to know msg is valid or not
-    n=len(s)
-    c=0
-    for i in range(n):
-        if s[i]==":":
-            c+=1
-    return c    #return no. of colon in a msg if  0 then this msg is not a valid msg
-
-
-
-
-
 
+def findColon(s):  # to know msg is valid or not
+    n = len(s)
+    c = 0
+    for i in range(n):
+        if s[i] == ":":
+            c += 1
+    return c  # return no. of colons in a msg, if 0 then this msg is not a valid msg.
 
 
 while 1:
-    rd=cht.readline()
-    if not rd:break
-
-    total_msg_and_notification+=1
-    if startsWithDate(rd):#to know msg is start with date or no not.
-
-        splitLine=rd.split("-")
-        dateTime=splitLine[0]
-
-        date,time=dateTime.split(',')
-        total_msg+=1
-
-        if findColon(splitLine[1])>0:# to know this line is genuene msg or notification .
-            total_valid_msg+=1
-            authorMsg=splitLine[1].split(":")
-
-
-            author= authorMsg[0][:15]+".."
-            msg=authorMsg[1::]
-
-            list_of_date_time_author_msg.append([date,time,author,msg])
-
-        else:
-            list_of_notification.append(splitLine[1])#collect all notification such as: some add someone,someone join this group via link etc.
-
+    current_line = cht.readline()
+    if not current_line:
+        break
+
+    total_msg_and_notification += 1
+    if startsWithDate(current_line):  # To check the msg starts with date or not.
+
+        splitLine = current_line.split("-")
+        dateTime = splitLine[0]
 
+        date, time = dateTime.split(',')
+        total_msg += 1
 
-
-
-print("\n\nTotal msg-",total_msg,"\nTotal valid msg-",total_valid_msg,"\ntotal_msg_and_notification",total_msg_and_notification)
+        if findColon(splitLine[1]) > 0:  # To know this line is genuine msg or notification.
+            total_valid_msg += 1
+            authorMsg = splitLine[1].split(":")
 
-df=pd.DataFrame(list_of_date_time_author_msg,columns=["Date","Time","GroupMember","Message"])
+            author = authorMsg[0][:15] + ".."
+            msg = authorMsg[1::]
 
-l=dict(df['GroupMember'].value_counts())
-xval=[]
-yval=[]
-for x,y in l.items():
+            list_of_date_time_author_msg.append([date, time, author, msg])
+
+        else:
+            list_of_notification.append(splitLine[1])
+            # collect all notification such as: someone added new member,someone join this group via file_path etc.
+
+print("\n\nTotal msg =", total_msg, "\nTotal valid msg =", total_valid_msg, "\nTotal msg and notification =",
+      total_msg_and_notification)
+
+df = pd.DataFrame(list_of_date_time_author_msg, columns=["Date", "Time", "GroupMember", "Message"])
+
+l = dict(df['GroupMember'].value_counts())
+xval = []
+yval = []
+for x, y in l.items():
     xval.append(x)
     yval.append(y)
 
+
 def showAll():
+    plt.figure(figsize=(len(l) * 0.25, 10))
+    plt.bar(xval, yval, width=0.8)
 
-    plt.figure(figsize=(len(l)*0.25,10))
-    plt.bar(xval,yval,width=0.8)
-
-    plt.title("Group: "+title1)
+    plt.title("Group: " + title)
     plt.xlabel("Group Members")
     plt.ylabel("Number of messages")
-    plt.xticks(xval,rotation=90)
-    
-    
+    plt.xticks(xval, rotation=90)
+
+
 showAll()
-c3=0
-def autolabel(x,y):
+c3 = 0
+
+
+def autolabel(x, y):
     global c3
     for i in range(len(x)):
+        plt.text(x[i], y[i] + 5, str(y[i]), ha='center', rotation=90, color='red')
+        c3 += y[i]
+
 
-        plt.text(x[i],y[i]+5,str(y[i]),ha='center',rotation=90,color='red')
-        c3+=y[i]
-autolabel(xval,yval)
-plt.text(len(l)-len(l)//2,len(l), 'Total Active Members: '+str(len(l))+", Total Message-"+str(c3),color='red')
+autolabel(xval, yval)
+plt.text(len(l) - len(l) // 2, len(l), 'Total Active Members: ' + str(len(l)) + ", Total Message-" + str(c3),
+         color='red')
 
 plt.show()
-#plt.savefig('test.png')
+# plt.savefig('test.png')

requirements.txt

@@ -0,0 +1,2 @@
+pandas
+matplotlib