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Python: Orders Manager P4
Learning : Orders Management System using Python and Pandas
Subject: File Exists and Adding new Record
In the last post of our system, we develop the file_exists function, the function is checking if the file not exists then will create ond and enter a dummy data. Now we need to add a code to the application body that call this function and if the file exists the application will run without applying the or creating any file. Here is the code in the application body:
Header here
if file_exists() != ‘exit’ :
# calling the menu
user_enter = the_menu()
”’
Validation: If the user enter any thing else than numbers
or (q for quit) nothing will happen.
”’
while user_enter !=’q’ or ‘Q’ :
if user_enter in [‘q’,’Q’] :
print(‘\n You select to Exit the application.’)
save_it = input(‘\n Do your want to save your work/changes [y or n] ? ‘)
if save_it in [‘y’,’Y’]:
save_the_df (df)
break
elif user_enter not in [‘1′,’2′,’3′,’4′,’5′,’6′,’7′,’8′,’9’] :
user_enter = the_menu()
else:
user_choice(user_enter)
user_enter = the_menu()
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In this post we will talk about the Adding new record function, since we may start from new file we need to enter some records in our data file. Here is the def add_new_record() that will help us to enter our data.
Add New Record Function
def add_new_record(old_df):
clear() # To clear the terminal.
app_header()
# First we will fetch the columns from the df
col_list = []
for each in old_df.columns :
col_list.append(each)
print(col_list)
# Get max id and increase it by 1
next_id = old_df[‘order_no’].max()+1
new_row={}
# let user enter the new record.
print(‘\n Enter the data for each field then press Enter.\n’ )
print(‘ If you just press Enter NaN will be entered.’)
for each in col_list:
if each !=’order_no’:
print(‘ Enter data for ‘,each)
new_row.update({each:(input(‘ : ‘))})
new_row.update({‘order_no’:next_id})
old_df = old_df.append([new_row])
for each in col_list :
if (old_df.loc[old_df[‘order_no’] == next_id, each][0]) ==”:
(old_df.loc[old_df[‘order_no’] == next_id,[each]]) = float(‘NaN’)
print(‘\n New Record added successfully..\n’)
# print out last 5 rows to show the new record.
print(‘\n The new record in the df..\n ‘,old_df.tail(5))
global df # Reset the df as global variable
df = old_df
input(‘\n\n\n\n ** Press any key to continue .. . . ‘)
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In the coming post, we will work on the date validation function also the user choice loop so we can run the application and test it.
Follow me on Twitter..Python: Orders Manager P3
Learning : Orders Management System using Python and Pandas
Subject: Data File and Adding new Record
In This system and once the user run the application we will check if the Data file exists or not. If the file exists then the system will run, otherwise the application will guide the user to some questions to create the new file. Then we will talk about adding new records to our file.
First time run: Each time we run the application the system will chick for the file, at this version we will have only one data file we will call it “orders_dataframe.csv” if the file exists the application will continue and the file will be loaded automaticly, if not, then the first choice of our menu will be called. Function called “create_file()” will run, we will inform the user that the file is not there and if he want to create a new file. If the user select Yes, the file will be created and a dummy row (id = 0) will be added. If the user select No, we will show a message then if any key pressed the system will quite. .. Let’s see the code ..
File Exists check point
def file_exists():
# Check if the data file not exists create one
if not (os.path.exists(‘orders_dataframe.csv’)):
no_file =’o’
while no_file not in [‘y’,’Y’,’n’,’N’]: # Validation for user input
clear() # To clear the terminal.
app_header()
no_file = input(‘\n The file ”orders_dataframe.csv” is not exists, Do you want to create new one: [ y , n ] ‘)
if no_file in [‘y’,’Y’]: # Validation for user input
create_file() # Call the function create_file
return
elif no_file in [‘n’,’N’]: # Validation for user input
print(‘\n You select not to create a data file, so the system will Exit. ‘)
input(‘\n\n Press any key …’)
return ‘exit’
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Validation:
To keep asking the user for his input until he enters one of [ y,Y,n,N]
while no_file not in [‘y’,’Y’,’n’,’N’]:
no_file = input(‘\n The file ”orders_dataframe.csv” is not exists, Do you want to create new one: [y,n] ‘)
Last, I am thinking to add a header for our app, so this header will be at the top of all out screens. Here it is ..
Application Header
def app_header():
print(‘\n ********************************’)
print(‘ ** Orders Managment System **’)
print(‘ ** App V.08-19 **’)
print(‘ **********************************\n’)
In the next post we will look at the Validation on the File Exists check and create file function, also first row added to our dataframe.
Python: Orders Manager P2
Orders Managment System
Subject: Main Menu and creation of the data file – P2
First thing we will talk about the menu, in this post we will cover the Main Menu and the user choice. Also we will add some validation.
Main Menu: Here is a list of what we will have in the main menu with some descriptions for each choice.
Load File: We will name the file as “orders_data.csv” so once we start the application the system will check if the file exist or not, if Yes then the application will load it automatically as DataFrame (df) if not thats mean you are running the app for the first time, so we will go through file creating process.
Show Data: In this option we will have another sub menu page having:
1. Show all data.
2. Show sample data.
3. Show last 5 records.
Sort: Here we will have sorting as columns that we have, the user will select a column.
Search: We can here search for an order by Date, Price, Quantity or details, also we will do groping for the data.
Missing Data: To show us how many missing data we have so we can fill them.
Add New Order: To add new order to the system.
Edit a Record: To Edit/change a record.
Delete a Record: To delete a record from the DataFrame.
Save: To save what ever you do to the DataFrame.
The Main Menu
def the_menu ():
print(‘\n ::—–{ The menu }—-::’)
print(‘1. Create New csv File’)
print(‘2. Show Data’)
print(‘3. Sort.’)
print(‘4. Search.’)
print(‘5. Missing Data’)
print(‘6. Add New Record.’)
print(‘7. Edit a record.’)
print(‘8. Delete a Record.’)
print(’9. Save the File.’)
return input(‘\n Select from the menu (”q” to quit): ‘)
Main while loop: In the application body we will use a while loop to control the user input and run the function he select. Unlike what we did In the zoo managment system, we will add a validation on the user input as:
Validation:
1. If the user enter any thing else than numbers (1 to 9) or ([q – Q] for quit) nothing will happen.
2. If the user select (q to quit) then we will ask if he want to save before Exit.
Here is the code …
Main while loop
# calling the menu
user_enter = the_menu()
”’
Validation: If the user enter any thing else than numbers
or (q for quit) nothing will happen.
”’
while user_enter !=’q’ or ‘Q’ :
if user_enter in [‘q’,’Q’] :
print(‘\n You select to Exit the application.’)
save_it = input(‘\n Do your want to save your work/changes [y or n] ? ‘)
if save_it in [‘y’,’Y’]:
save_the_df (df)
break
elif user_enter not in [‘1′,’2′,’3′,’4′,’5′,’6′,’7′,’8′,’9’] :
user_enter = the_menu()
else:
user_choice(user_enter)
user_enter = the_menu()
Here is a screen shot for the code..
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In this post we cover the Main Menu and the main while loop we need to call the functions, in the coming post we will create the data file and Adding new record.
Python: Orders Manager P1
Orders Managment System
Subject: Outlines – P1
In last several posts we develop a Zoo Managment System [Click to Read]. We try to use our skills in python and pandas to work with DataFrame and developing easy app that reading and writeing a csv file. We will use the same principle and re-use most of it’s functions to write our new coming system.
The Story: I don’t think that there is any person using the web without using at least one of the online shopping sites, personally; I am using three sites. In coming posts we will work on Orders Managment System (OMS) to track our orders.
General Enhancement In the Zoo application we did not use any validation or try … Exceptions blocks, but this time we will use a range of validations over the user input starting from the menu until asking if the user want to save shange before he Quit. Using validations will make the code (or make it looks like) complicated, so I will use lots of comments to describe some codes.
Validation Example ..
In our Date entry, we will inform the user that we want the date as DD-MM-YYYY , then if the user enter any thing not logic (not a date) or say he enter “3/8-2019” our validation will convert that to “03-08-2019”.
OMS Outline: In this application our goal is to practices on data validation so we will develop a system to store our orders data and apply the validation on it, I will use aliexpress orders information to build the csv file. As far as i know, aliexpress site is not providing any tool to export a file that contain your orders detail so we will do this just to keep a history records of our orders.
File Structuer: The file will have 8 columns here is a short description of each column:
order_no: A serial number that will increment automatically, we will consider this to be a primary key of the table.
order_id: This is the order id generated by aliexpress site, we will enter it as it is.
order_date: To hold the orders date, the date will be in DD-MM-YYYY format.
order_detail: Short description of the order, even you write it in your words or copy paste it from your order page.
item_price: The price in US$
ship_price: Shipment amount in US$
quantity: The Quantity of the items.
item_url: The URL of the item page.
Coming Post We will start from next post to write the main menu, and the first function to create a csv file and insert the first row.
Python: Pandas Lesson 11
Learning : Pandas Lesson 11
Subject: Zoo Management System – P5
In this post we will cover another three functions, let’s start.
Missing Data: A commun problems we will face in any data file is Missing data, and if we are doing data analysis this may ledd us to a real problem. In this section we will cover only the missing data and will not go through any filling techniques.
Missing Data Report
def missing_data(df):
clear() # To clear the terminal.
print(‘\n\n *** Missing Data Report ***\n’)
print(‘ There are {} rows and {} columns.’.format(df.shape[0],df.shape[1]))
print(‘\n Number of missing data in each columns are:\n’)
total_miss = 0 # Counter
for each in df:
print(‘\n We have {} missing data in {} column.’.format(df[each].isnull().sum(),each))
total_miss = total_miss + df[each].isnull().sum()
print(‘\n Total missing data :’,total_miss)
print(‘\n The missing data represent {}% of the DataFrame.’.format((df.size*total_miss)/100))
input(‘\n\n\n\n ** Press any key to continue .. . . ‘)
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This is a very simple missing data report, but doing the job for-now, we cover some part of missing data in lesson 5 read it Here.
Add New Record: I divide the editing function into three parts or three functions, Add new record, Edit a record and delete a record.
First we will work on Add New Record, from the name we know that this function will allow the user to add a record to the DataFrame, first we will get all columns in the dataframe, also we will get the maximum value in the ID column and increase it by one, then we will ask the user to enter the data for each column, and we are assuming that the user will (or MUST) enter a valid data since we agree that we will not have any validation test in this version of the application, also if the user just press ‘Enter’ thats mean NA data so we will add NaN to the field.
So let’s start..
Add New Record
def add_new_record(old_df):
clear() # To clear the terminal.
# First we will fitch the columns from the df
col_list = []
for each in old_df.columns :
col_list.append(each)
print(col_list)
# Get max id and increase it by 1
next_id = old_df[‘id’].max()+1
new_row={}
# let user enter the new record.
print(‘\n Enter the data for each field then press Enter.\n’ )
print(‘ If you just press Enter NaN will be entered.’)
for each in col_list:
if each !=’id’:
print(‘ Enter data for ‘,each)
new_row.update({each:(input(‘ : ‘))})
new_row.update({‘id’:next_id})
old_df = old_df.append([new_row])
for each in col_list :
if (old_df.loc[old_df[‘id’] == next_id, each][0]) ==”:
(old_df.loc[old_df[‘id’] == next_id,[each]]) = float(‘NaN’)
print(‘\n New Record added successfully..\n’)
# print out last 5 rows to show the new record.
print(‘\n The new record in the df..\n ”,old_df.tail(5))
global df # Reset the df as global variable
df = old_df
input(‘\n\n\n\n ** Press any key to continu .. . . ‘)
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Save : At this point we will jump to the last function, simply after adding data to our DataFrame we need to keep this change, we need to save the new record so we can retrieve it next time we run the application. So to do this we will re-write the csv file again.
Save the DataFrame
def save_the_df (df):
clear() # To clear the terminal.
file_name=’data_file_zoo.csv’
df.to_csv(file_name, encoding=’utf-8′, index=False)
print(‘\n File saved .. ‘)
input(‘\n\n\n\n ** Press any key to continue .. . . ‘)
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Now, if we close the application then re-open it again we will have the new records that we add. We just save the file and will not have any option to rename it.
In Next Post.. in coming post we will cover deleting and editting functions, also I will upload the full code file to the portal so any one can download it as python file.
:: Pandas Lessons Post ::
| Lesson 1 | Lesson 2 | Lesson 3 | Lesson 4 |
| Lesson 5 | Lesson 6 | Lesson 7 | Lesson 8 |
| Lesson 9 | Lesson 10 | Lesson 11 |
Python: Pandas Lesson 10
Learning : Pandas Commands
Subject: Zoo Management System – P4
In the last lesson, we wrote the first two function (loading the file and showing some sample data), now we will show the columns in our data file, showing the data type of each column and sorting the data based on certain column.
Show Columns: In most or all cases, we need to take a look to what we have in our data file and columns name will give us a fast idea of what we should expect. To do this we will write this code..
Show Columns
def show_column(df):
clear() # To clear the terminal.
#first we will count the column.
print(‘\n\n There is {} column in the DataFrame. ‘.format(len(df.columns)))
print(‘\n The columns name: ‘,df.columns)
input(‘\n\n\n\n ** Press any key to continu .. . . ‘)
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Enhancement: If we want to add more flexibility to this function, we may give the user the opportunity to change the columns name, but we want this application to be as simple as we can.
Data Type: Knowing the Data type of our fields is important, in case we want to apply the data validation on user entries we will use the data type, so here is the function to do this.
def data_type()
def data_type(df):
clear() # To clear the terminal.
print(‘\n\n The data type of each columns in the DataFrame is :\n’)
print(df.dtypes)
input(‘\n\n\n\n ** Press any key to continu .. . . ‘)
 Run Time .. 
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Third function we want to write is Sort, sorting the dataframe and in this function we will give the user the ability to select the column to sort the data based on it.
To do this, we first will list the clomns in the date frame then we will ask the use to select a column of sort.
Here is the code
Sorting based on user selection
def sort_df(df):
clear() # To clear the terminal.
x = 1
print(‘\n\n The list of the columns in the DataFrame are:’)
for each in df.columns : # List the columns in DataFrame
print(‘ ‘,x,each)
x +=1
u_sele=input(‘\n Enter the column number you want to sort the data based on: ‘)
print(‘\n\n Data sorted on ‘,df.columns[int(u_sele)-1])
print(‘\n’,df.sort_values(df.columns[int(u_sele)-1]))
input(‘\n\n\n\n ** Press any key to continu .. . . ‘)
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Screen shot of the code. |
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After selecting option No.5 (Sort) from the main menu, we will have a list of columns in the DataFrame to select from. |
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DataFrame sorted based on our selection. |
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Another try of sorting. |
Enhancement: In sorting we can add to sort Descending or Ascending, but we will keep this for next version.
Wrapping Up: At this point we finised five functions of our system, I will upload the code file pandas_zoo_app.py at the end of this lesson section, the file will be on my Download Page.
:: Pandas Lessons Post ::
| Lesson 1 | Lesson 2 | Lesson 3 | Lesson 4 |
| Lesson 5 | Lesson 6 | Lesson 7 | Lesson 8 |
| Lesson 9 | Lesson 10 | Lesson 11 | Lesson 12 |
Python: Pandas Lesson 9
Learning : Pandas Commands
Subject: Zoo Management System – P3
In this lesson we will write two functions in our Zoo Management System-ZMS, first one to load the data file (we assume we have our data file in the same directory of the .py file.) and the second one is to display a sample 5 rows from the data. We will write each function and test it then we will add it to our main app user_choice() section and will try it from there. At the end of this post you can find a screen shot of the user_choice() code with two function in place.
Also I would like to emphasize that I am not using any try .. exception block in this system, so I am expecting that the user will enter a valid data.
Load New File: As far we want to be simple in this lesson, we will assume that we have a file named ‘data_file_zoo.csv’ and that it stored in the same directory as our source file .py, so we will not cover the [find file code] to change or select other file in other directory.(maybe in version 2.0 of this app if we want to upgrade it. ).
Enhancement ides:
1. Giving the user the ability to change the path and the file.
2. User can start form new empty file and create the columns and data of his new data file.
def load_file()
def load_file() :
filename=’data_file_zoo.csv’
global df
df = pd.read_csv(filename)
print(‘\n\n *** File Been Loaded *** \n’)
input(‘\n ** Press any key to continu .. . . ‘)
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Show sample data: After loading the data into a df, and we set the df as a global variable so we can use it any-where in our application. So to print-out a sample data we will use coming code.
get_sample_data(df2)
def get_sample_data(df2):
clear() # To clear the terminal.
print(‘\n\n Sample Data from .. \n’,df2.sample(5))
input(‘\n ** Press any key to continue .. . . ‘)
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Here is the two function in the def user_coice(u_choice):
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Summary: At this point we have the menu and two functions, each time we run the app we need to select first number 1 to load the data into a df, the idea behind this was to give the user the opportunity to select any data file from any path, but in this stage the data file will be static in the code. this feature will be in version 2.0 After loading the data we can select number 2 from the menu ( Show sample data ).
And here is a run screen shot..
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In coming Next Post .. in coming post we will cover more functioins in our system. We will check the columns name, seeing the data type of each column and sorting the data in the data frame.
:: Pandas Lessons Post ::
| Lesson 1 | Lesson 2 | Lesson 3 | Lesson 4 |
| Lesson 5 | Lesson 6 | Lesson 7 | Lesson 8 |
| Lesson 9 |
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