Convert XLSX to CSV using Python

In this article, we will manage the transformation of the Succeed (.xlsx) document into .csv. There are two organizations, for the most part, utilized in Succeed:

• (*.xlsx): Succeed Microsoft Office Open XML Arrangement Accounting sheet document.
• (*.xls): Succeed Bookkeeping sheet (Succeed 97-2003 exercise manual).

We should Consider a dataset of a shopping store having information about the Client's Chronic Number, Client Name, Client ID, and Item Cost put away in the Succeed document.

Code:

Program Explanation:

In the given Python code, the panda's library is imported as 'pd,' and a Succeed record named "Test.xlsx" is perused utilizing the pd.read_excel() capability. The code basically stacks the information from the Succeed document into an organized plan organization called a DataFrame, making it simpler to break down and control utilizing pandas functionalities. The last line, 'df,' is utilized to show the items in the DataFrame in the result.

Output:

Presently, we should see various ways of changing an Excel file into a CSV record.

Method 1: Convert the Succeed Record to a CSV Document Utilizing the Panda's Library

Pandas is an open-source programming library that works for information control and examination for Python programming language. It offers different usefulness as far as information designs and activities for controlling mathematical tables and time series. It can peruse, channel, and once again organize little and enormous datasets and yield them in a scope of organizations, including Succeed, JSON, and CSV.

For perusing a successful record, utilizing the read_excel() technique and converting the information outline into the CSV document, use the to_csv() strategy for pandas.

Code:

Program Explanation:

In this Python code, the panda's library is imported, and an Excel file named "Test.xlsx" is read using pd.read_excel(). The data is then written to a CSV file named "Test.csv" using the to_csv() function. Subsequently, the CSV file is read back into a pandas DataFrame using pd.read_csv(), and the resulting DataFrame is stored in the variable 'df.' The code effectively converts data from an Excel file to a CSV file and then reads it back into a DataFrame for further analysis. The final line, 'df,' is used to display the contents of the DataFrame in the output.

Output:

Method 2: Convert Succeed Record to CSV Document Utilizing XLRD And CSV Library

xlrd is a library with the fundamental reason to pursue a successful record.

csv is a library with the primary reason to peruse and compose a csv document.

Code:

Program Explanation:

In this Python program, the xlrd library is used to open an Excel workbook ("Test.xlsx") and access its first sheet by index. The data from each row of the sheet is then written to a CSV file ("T.csv") using the csv module. Afterward, the data is read from the CSV file into a pandas DataFrame ('df'). The code essentially converts data from an Excel file to a CSV file and then reads it into a pandas DataFrame for analysis.

Output:

Method 3: Convert Excel File to CSV Document Utilizing Openpyxl and CSV Library

openpyxl is a library to peruse/compose Succeed 2010 xlsx/xlsm/xltx/xltm records. It was brought into the world from the absence of an existing library to peruse/compose locally from Python, the Workplace Open XML design.

Code:

Program Explanation:

In this Python code, the openpyxl library is used to load an Excel workbook ("Test.xlsx"). The active sheet of the workbook is selected, and its data is then written to a CSV file ("tt.csv") using the csv module. Finally, the data from the CSV file is read into a pandas DataFrame ('df'), and the DataFrame is displayed in the output. The code essentially converts data from an Excel file to a CSV file and then reads it into a pandas DataFrame for analysis.

Output: