Merge pull request larymak#45 from Mahmoud-alzoubi95/main

Add "Read and write CSV files"

Author: larymak

CSV_files/README.md

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+# Reading and Writing a CSV File
+* There are various ways to read a CSV file that uses either the CSV module or the pandas library.
+
+- csv Module: The CSV module is one of the modules in Python which provides classes for reading and     writing tabular information in CSV file format.
+
+- pandas Library: The pandas library is one of the open-source Python libraries that provide high-performance, convenient data structures and data analysis tools and techniques for Python programming.
+
+* **Read using csv.DictReader() class:** the CSV file is first opened using the open() method then it is read by using the DictReader class of csv module which works like a regular reader but maps the information in the CSV file into a dictionary. The very first line of the file consists of dictionary keys. 
+* **Read using pandas module**  : you can read cvs file using pandas ,using read_csv method , you can also determine if you want to read the head or the tail or read specific piece of data .
+
+
+* There are various classes provide by csv  module for writting to csv:
+- using csv.writer class
+- using csv.DictWritter class
+
+* **Write using cvs.DictWritter() class**: this class returns a writer object which maps directories onto output rows.
+
+
+* **Write using pandas module**:You can save your Pandas DataFrame as a CSV file with .to_csv(data)
+  
+
+
+
+
+  # Steps :
+
+  1- clone the repo 
+
+  2- poetry install 
+  
+  3- poetry shell
+
+  4- run the wanted file 

CSV_files/assets/addresses.csv

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+name,course
+Noura,python40python401
+Mahmoud,python401
+Nizar,python401
+Raneem,python401
+Omer,python401

CSV_files/assets/course_name.csv

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+import csv
+import pandas as pd
+ 
+def read_using_DictReader(path):
+    # opening the CSV file
+    with open(path, mode ='r') as file:   
+       # reading the CSV file
+       csvFile = csv.DictReader(file)
+ 
+       # displaying the contents of the CSV file
+       for lines in csvFile:
+            return lines
+
+def read_by_pandas_head():
+    data=pd.read_csv('CSV_files/assets/addresses.csv')
+    return data.head()       
+
+def read_by_pandas_tail():
+    data=pd.read_csv('CSV_files/assets/addresses.csv')
+    return data.tail() 
+  
+if __name__=="__main__":
+    print(read_using_DictReader('assets/addresses.csv'))
+    print(read_using_DictReader())
+    print(read_by_pandas_head())
+    print(read_by_pandas_tail())
+

CSV_files/read_csv.py

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+import csv
+import pandas as pd
+
+
+ 
+
+def write_to_csv_files_using_DictWriter_class(data,fields,filename):
+   
+    with open(filename, 'w') as csvfile: 
+        # creating a csv dict writer object 
+        writer = csv.DictWriter(csvfile, fieldnames = fields) 
+            
+        # writing headers (field names) 
+        writer.writeheader() 
+            
+        # writing data rows 
+        writer.writerows(data) 
+
+def write_by_pandas(name_dict):
+        df = pd.DataFrame(name_dict)
+        return df
+
+if __name__=="__main__":
+     # my data rows as dictionary objects 
+    mydata =[{'name': 'Noura', 'course': 'python40python401'}, 
+            {'name': 'Mahmoud', 'course': 'python401'}, 
+            {'name': 'Nizar', 'course': 'python401'}, 
+            {'name': 'Raneem', 'course': 'python401'}, 
+            {'name': 'Omer', 'course': 'python401'}, ] 
+        
+    # field names 
+    fields = ['name','course'] 
+        
+    # name of csv file 
+    filename = "assets/course_name.csv"
+        
+    # writing to csv file 
+    print(write_to_csv_files_using_DictWriter_class(mydata,fields,filename))
+
+
+    name_dict = {
+        'Name': ['Omar','Mahmoud','Noura','Raneem'],
+        'Score': [82,86,84,65]
+        }
+    print(write_by_pandas(name_dict))