8th day of python challenges 111-117

challenges111-117/realpython-csv/employee_addresses.txt

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+name,address,date joined
+john smith,1132 Anywhere Lane Hoboken NJ, 07030,Jan 4
+erica meyers,1234 Smith Lane Hoboken NJ, 07030,March 2

challenges111-117/realpython-csv/employee_birthday.txt

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+name,department,birthday month
+John Smith,Accounting,November
+Erica Meyers,IT,March

challenges111-117/realpython-csv/employee_file.csv

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+John Smith,Accounting,November
+Erica Meyers,IT,March

challenges111-117/realpython-csv/employee_file2.csv

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+emp_name,dept,birth_month
+John Smith,Accounting,November
+Erica Meyers,IT,March

challenges111-117/realpython-csv/hrdata-noheader.csv

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+Graham Chapman,03/15/14,50000.00,10
+John Cleese,06/01/15,65000.00,8
+Eric Idle,05/12/14,45000.00,10
+Terry Jones,11/01/13,70000.00,3
+Terry Gilliam,08/12/14,48000.00,7
+Michael Palin,05/23/13,66000.00,8

challenges111-117/realpython-csv/hrdata.csv

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+Name,Hire Date,Salary,Sick Days remaining
+Graham Chapman,03/15/14,50000.00,10
+John Cleese,06/01/15,65000.00,8
+Eric Idle,05/12/14,45000.00,10
+Terry Jones,11/01/13,70000.00,3
+Terry Gilliam,08/12/14,48000.00,7
+Michael Palin,05/23/13,66000.00,8

challenges111-117/realpython-csv/hrdata_modified.csv

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+Employee,Hired,Salary,Sick Days
+Graham Chapman,2014-03-15,50000.0,10
+John Cleese,2015-06-01,65000.0,8
+Eric Idle,2014-05-12,45000.0,10
+Terry Jones,2013-11-01,70000.0,3
+Terry Gilliam,2014-08-12,48000.0,7
+Michael Palin,2013-05-23,66000.0,8

challenges111-117/realpython-csv/train-csv-lib.py

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+import csv
+
+
+# --------- READING CSV ----------
+
+# 1 - Built-in CSV Library
+# here return an array --> ['John Smith', 'Accounting', 'November']
+
+with open('employee_birthday.txt') as csv_file:
+    csv_reader = csv.reader(csv_file)
+    count = 0
+    for row in csv_reader:
+        print(row)
+        # if count == 0:
+        #     print(f'Columns are {", ".join(row)}')
+        #     count += 1
+        # else:
+        #     print(f'\t{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
+        #     count += 1
+    print(f'Processed {count} lines.')
+
+
+# 2 - Reading CSV Files Into a Dictionary
+# return dictionary of arrays --> [('name', 'John Smith'), ('department', 'Accounting'), ('birthday month', 'November')]
+
+with open('employee_birthday.txt') as csv_file:
+    csv_reader = csv.DictReader(csv_file)
+    count = 0
+    for row in csv_reader:
+        print(row)
+        # if count == 0:
+        #     print(f'Column names are {", ".join(row)}')
+        #     count += 1
+        # print(f'\t{row["name"]} works in the {row["department"]} department, and was born in {row["birthday month"]}.')
+        # count += 1
+    print(f'Processed {count} lines.')
+
+
+
+# --------- WRITING CSV ----------
+
+# 1 - Built-in CSV Library
+
+with open('employee_file.csv', mode='w') as employee_file:
+    employee_writer = csv.writer(employee_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
+
+    employee_writer.writerow(['John Smith', 'Accounting', 'November'])
+    employee_writer.writerow(['Erica Meyers', 'IT', 'March'])
+
+
+# 2 - Reading CSV Files Into a Dictionary
+
+with open('employee_file2.csv', mode='w') as csv_file:
+    fieldnames = ['emp_name', 'dept', 'birth_month']
+    writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
+
+    writer.writeheader()
+    writer.writerow({'emp_name': 'John Smith', 'dept': 'Accounting', 'birth_month': 'November'})
+    writer.writerow({'emp_name': 'Erica Meyers', 'dept': 'IT', 'birth_month': 'March'})

challenges111-117/realpython-csv/train-pandas-lib.py

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+import pandas
+
+# --------- READING CSV ----------
+
+df = pandas.read_csv('hrdata.csv')
+print(df)
+
+
+df = pandas.read_csv('hrdata.csv', index_col='Name')
+print(df)
+
+
+df = pandas.read_csv('hrdata.csv', index_col='Name', parse_dates=['Hire Date'])
+print(df)
+
+
+dfNh = pandas.read_csv('hrdata-noheader.csv',
+            index_col='Employee',
+            parse_dates=['Hired'],
+            header=0,
+            names=['Employee', 'Hired', 'Salary', 'Sick Days'])
+print(dfNh)
+
+
+# --------- WRITING CSV ----------
+
+df = pandas.read_csv('hrdata.csv',
+            index_col='Employee',
+            parse_dates=['Hired'],
+            header=0,
+            names=['Employee', 'Hired', 'Salary', 'Sick Days'])
+df.to_csv('hrdata_modified.csv')