Category

PYTHON

Category

Πως να επιλέγετε γραμμές και στήλες με τη βιβλιοθήκη pandas της γλώσσας προγραμματισμού Python See below the data and the code for the result shown on image . . . How to select rows and columns in pandas # Credit : Trifonas Papadopoulos, Oct 4th, 2022, Version 2.0 # start of code —————————————————————————————– import pandas as pd import numpy as np # data data = [[‘A0001′,”,”,”,0,’variable’,0,0], [‘A0001′,’WHITE’,’S’,’Small’,1,’variation’,0,0], [‘A0001′,’WHITE’,’M’,’Medium’,2,’variation’,0,0], [‘A0001′,’WHITE’,’L’,’Large’,3,’variation’,0,0], [‘A0001′,’WHITE’,’XL’,’Extra Large’,4,’variation’,0,0], [‘A0001′,’BLACK’,’L’,’Large’,5,’variation’,0,0], [‘A0003′,”,”,”,6,’variable’,0,0], [‘A0003′,’BLACK’,’XL’,’Extra Large’,7,’variation’,0,0], [‘A0002′,”,”,”,8,’variable’,0,0], [‘A0002′,’BLACK’,’L’,’Large’,9,’variation’,0,0], [‘A0002′,’BLACK’,’XL’,’Extra Large’,10,’variation’,0,0], [‘A0004′,”,”,”,12,’variable’,0,0], [‘A0004′,’WHITE’,’S’,’Small’,12,’variation’,0,0], [‘A0004′,’RED’,’S’,’Small’,13,’variation’,0,0], [‘A0004′,’RED’,’M’,’Medium’,14,’variation’,0,0], [‘A0001′,’WHITE’,’XXL’,’2 Extra Large’,15,’variation’,0,0], ] # print list of columns print(‘–list of columns———————————————————–‘) cols = list(df.columns.values) print(cols) # dataframe with defined column names df = pd.DataFrame(data, columns=[‘parent’, ‘color’, ‘size’, ‘size_desc’, ‘order’, ‘type’, ‘quantity’,’price’]) print(”) print(‘–dataframe with defined column names—————————————‘) print(df) # end of code —————————————————————————————– If you want to see more ways to select rows and columns in pandas (Python), read my code (Version…

Let’s assume that you have 2 excel files : product_data_excel.xlsx (99 rows x 5 columns, A2: E100) product_data_excel_2.xlsx (107 rows x 5 columns, A2:E108) The 5 columns of the two excel files are : product_id, product_description, quantity, regular_price and category.product_data_excel.xlsx You have changed quantity and price values for existing product_ids : “A0001” and “A0003” (column : “product_id”) and you have added 8 new products in excel file : product_data_excel_2.xlsx. product_data_excel_2.xlsx Now you want to compare product_data_excel.xlsx and product_data_excel_2.xlsx and create a new excel file  : product_data_excel_changed_and_new_records.xlsx and csv file : product_data_excel_changed_and_new_data.csv with the 2 existing products you have changed and the 8 new ones you have added. product_data_excel_changed_and_new_records.xlsx Download product_data_excel.xlsx, product_data_excel_2.xlsx, product_data_excel_changed_and_new_records.xlsx, product_data_excel_changed_and_new_records.csv Click comparing_data_values_between_2_excel_files to see the code (html format) . . .

Let’s assume that you got three csv files from the sales department : “_sales_january_2021_d.csv” “_sales_feb_2021_d.csv”“_sales_mar_2021_d.csv” and you want : to join them in one new csv file : “sales_jan_feb_mar_2021_d.csv” to find actual sales sum per month, actual sales sum (quantity) per month and actual sales mean per month to save actual sales by person per month in csv file : “sales_by_person.csv”and in excel file : “sales_by_person.xlsx” to save “sales_by person.csv” as “sales_by_person_modified.csv” with different english headers to save “sales_by person.csv” as “sales_by_person_modified_gr.csv” with different greek headers to find actual sales sum, actual sales mean and actual sales total for salesperson : “Trifon Papadopoulos” to create a graph(bar) for Actual Sales total per Salesperson to create a graph(bar) for Actual Sales total per Month_ref to join “sales_jan_feb_mar_2021_d.csv” with “sales_january_2021_d_products_orders.csv” and save the output to excel file : “output1.xlsx” to improve styling of excel files : “sales_jan_feb_mar_2021_d.xlsx” and “output1.xlsx” Results of…

Comparison of Budget and Actual Sales / Jan 21 – Jun 21 Results 1) Budget Sales VS Actual Sales – Graph (line) 2) Budget Sales sum 3) Actual Sales sum 4) Difference between Budget Sales sum and Actual Sales sum – Euro 5) Actual Sales sum is X % of Budget Sales sum 6) Creation of new data source file (format : csv) with 2 new columns 7) Budget Sales VS Actual Sales – Graph (bar) Photo 1 8) Budget Sales VS Actual Sales – Graph (line), selection of certain columns to plot and different graph dimensions (photo 1) 9) Budget Sales mean (photo 1) 10) Actual Sales mean (photo 1) Click the html file data_visualization_with_python_5 to view the project . . . Data source file : sample_data_sales.csv Columns in data source file : month, budget_sales, actual_sales New data source file : sample_data_sales_with_difference.csv New columns calculated and added with…

Αυτόματη εισαγωγή δεδομένων πίνακα δεδομένων και τριών γραφημάτων σε αρχείο excel και αποθήκευση αυτού σε προκαθορισμένο φάκελο με χρήση γλώσσας προγραμματισμού python. Μπορούμε να αναλύσουμε και να μετατρέψουμε σε γραφήματα, οποιοδήποτε πίνακα δεδομένων. Το μόνο που πρέπει να κάνετε εσείς, είναι να τρέξετε το πρόγραμμα που θα σας δώσουμε και το αρχείο θα δημιουργηθεί στον προκαθορισμένο φάκελο. Products 1 to 6 Comparison of Sales (Units) for year 2020 and 2021 Products, Sales Score 2020, Sales Score 2021 Product 1, 90, 45 Product 2, 78, 39 Product 3, 60, 30 Product 4, 80, 40 Product 5, 60, 30 Product 6, 90, 60 FB Tags : #softexperia #analysis #graphs #python / fb : Softexperia.com / www.softexperia.com

Pin It