From 8d1c59e8fa441f00c274d85d773910cd2c924ce4 Mon Sep 17 00:00:00 2001
From: Samuel Vasco Gonzalez <65866495+samuVG@users.noreply.github.com>
Date: Sat, 9 Jul 2022 19:32:58 -0500
Subject: [PATCH] Homework 2

---
 .../1152223665/homework_01/babynames.py       | 75 +++++++++++++++++++
 1 file changed, 75 insertions(+)
 create mode 100644 EXTRAS/homeworks_to_submit/1152223665/homework_01/babynames.py

diff --git a/EXTRAS/homeworks_to_submit/1152223665/homework_01/babynames.py b/EXTRAS/homeworks_to_submit/1152223665/homework_01/babynames.py
new file mode 100644
index 0000000..52be52b
--- /dev/null
+++ b/EXTRAS/homeworks_to_submit/1152223665/homework_01/babynames.py
@@ -0,0 +1,75 @@
+import numpy as np
+import pandas as pd
+import codecs #Library for open HTML file
+import re
+import sys
+
+
+
+def extract_names(filename):
+    #we open the file as string
+    file=codecs.open(filename,"r", "utf-8").read()  
+    #we use RegEx for find year 
+    year=re.findall(r"Popularity in (\d{4})",file)
+    #we use RegEx for find names and ranks
+    rank_names=re.findall(r"<tr align=\"right\"><td>(\d+)</td><td>(\S+)</td><td>(\S+)</td>",file)
+    
+    #we save year and rank of names in a list
+    Data= []
+
+    Data.append(year[0])
+    for i in range(len(rank_names)):
+        Data.append(rank_names[i][1]+" "+rank_names[i][0])
+        Data.append(rank_names[i][2]+" "+rank_names[i][0])
+    
+    Data.sort() #we order the list of names alphabetically
+    
+    return Data
+    
+
+
+def main():
+    # This command-line parsing code is provided.
+    # Make a list of command line arguments, omitting the [0] element
+    # which is the script itself.
+    args = sys.argv[1:]
+
+    if not args:
+        print('usage: [--summaryfile] file [file ...]')
+        sys.exit(1)
+        
+
+    # Notice the summary flag and remove it from args if it is present.
+    summary = False
+    if args[0] == '--summaryfile':
+        summary = True
+        del args[0]
+    
+    #we create variables where we saved the columns of data frame and the matrix 
+    #with the data called rows
+    columns=[]
+    rows=[]
+    
+    #here we fill the previous variables
+    for i in args:
+        data=extract_names(i)
+        columns.append(data[0])
+        data.pop(0)
+        rows.append(data)
+        
+    rows=np.array(rows).transpose()
+    
+    #here we create the data frame and we save the file
+    DF=pd.DataFrame(data=rows, columns=columns)
+    DF.to_csv("DataFrame_Babynames.csv")
+        
+    #if the flag summary is true then we save a text file per every html file 
+    #with the summary of baby names and his respective rank 
+    if summary:
+        for i in args:
+            f=open(i+".summary.txt", 'w')
+            f.write('\n'.join(extract_names(i)) + '\n')
+            f.close()
+  
+if __name__ == '__main__':
+    main()
\ No newline at end of file