PYTHON EXCEL || PYTHON IN EXCEL || PYTHON PANDAS смотреть онлайн

PYTHON EXCEL || PYTHON IN EXCEL || PYTHON PANDAS


Code Explanation:


Line 1: import pandas as pd
- This line imports the `pandas` library and assigns it an alias `pd` for convenience in our code.

Line 4-9:Sample Data
- These lines define a sample dataset named `data`. It simulates data with products, sales, and profit. You should replace this data with your own data source.

Line 12: `df = pd.DataFrame(data)`
- This line creates a Pandas DataFrame called `df` using the sample data we defined earlier. A DataFrame is a tabular data structure in Pandas that will be used for further data manipulation.

Line 15-26: Create a Pandas Excel Writer
- This code sets up an Excel writer using `pd.ExcelWriter`. It will create a new Excel file named 'interactive_report.xlsx' using the 'xlsxwriter' engine. This writer allows us to write our DataFrame to an Excel file.

Line 18: `df.to_excel(writer, sheet_name='Raw Data', index=False)`
- This line writes the DataFrame `df` to the Excel file we created. It saves the DataFrame on a sheet named 'Raw Data' and sets `index` to `False`, so the DataFrame's index is not included in the Excel sheet.

Line 21-24: Get Workbook and Worksheet
- These lines retrieve the workbook and worksheet objects from the Excel writer. We'll use these objects to create a Pivot Table and insert a chart.

Line 27-32: Create a Pivot Table
- This code creates a new worksheet called 'Pivot Table' and writes column headers for 'Product,' 'Total Sales,' and 'Total Profit.' This is where we'll generate our Pivot Table.

Line 35-40: Use Pandas to Create a Pivot Table
- Here, we use Pandas to create a Pivot Table named `pivot_df` based on the 'Product' column, summing 'Sales' and 'Profit' values. This data will populate our Pivot Table.

Line 43-53: Write Pivot Table Data to the Worksheet
- This section writes the data from the `pivot_df` DataFrame to the 'Pivot Table' worksheet, effectively creating the Pivot Table.

Line 56-66: Create a Chart
- We create a column chart (`'type': 'column'`) named `chart`. This chart will visualize the data from the Pivot Table.

Line 68-72: Insert the Chart
- Finally, we insert the chart into the 'Pivot Table' worksheet at cell 'E2'.

This code demonstrates how to create an interactive Excel report with a Pivot Table and a chart using Python and the Pandas library.

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