Merge pull request larymak#3 from Mahmoud-alzoubi95/omar

Write using pandas

Author: Omar-zoubi

CSV_files/README.md

@@ -12,4 +12,7 @@
 - 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)
 

CSV_files/poetry.lock

@@ -0,0 +1,15 @@
+[tool.poetry]
+name = "csv_files"
+version = "0.1.0"
+description = ""
+authors = ["Omar-zoubi <o.fandi02@gmail.com>"]
+
+[tool.poetry.dependencies]
+python = "^3.9"
+pandas = "^1.3.0"
+
+[tool.poetry.dev-dependencies]
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"

CSV_files/pyproject.toml

@@ -1,4 +1,7 @@
 import csv
+import pandas as pd
+
+
 
 
 def write_to_csv_files_using_DictWriter_class(data,fields,filename):
@@ -13,7 +16,9 @@ def write_to_csv_files_using_DictWriter_class(data,fields,filename):
         # 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 
@@ -27,7 +32,14 @@ def write_to_csv_files_using_DictWriter_class(data,fields,filename):
     fields = ['name','course'] 
 
     # name of csv file 
-    filename = "CSV_files/assets/course_name.csv"
+    filename = "assets/course_name.csv"
 
     # writing to csv file 
-    print(write_to_csv_files_using_DictWriter_class(mydata,fields,filename))
+    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))