Contribute to wxwwt/opencv-picture-to-excel development by creating an account on GitHub. I have written several times about the usefulness of pandas as a data manipulation/wrangling tool and how it can be used to efficiently move data to and from Excel. There are cases, however, where you need an interactive environment for data analysis and trying to pull that together in pure python, in a user-friendly manner would be difficult. Contribute to wxwwt/opencv-picture-to-excel development by creating an account on GitHub. Now, let’s see different ways to convert an Excel file into a CSV file: Method 1: Convert Excel file to CSV file using the pandas library. Pandas is an open-source software library built for data manipulation and analysis for Python programming language. The other two libraries, csv and sys, are Python standard libraries so you don’t need to install them. Walkthrough The library xlrd allows us to interact with Excel files.

In this quick guide, I’ll show you how to convert a CSV to Excel using Python.

I’ll also include the Python code for a tool that can facilitate the conversion:

To start, here is a template that you can use to convert a CSV to Excel using Python:

In the next section, I’ll show you how to apply this template in practice.

Steps to Convert a CSV to Excel using Python

Step 1: Install the pandas package

If you haven’t already done so, install the pandas package. You can use the following command to install the pandas package (under Windows):

Step 2: Capture the path where the CSV file is stored

Next, capture the path where the CSV file is stored on your computer.

For example, I stored a CSV file about products under the following path:

C:UsersRonDesktopTestProduct_List.csv

Where ‘Product_List’ is the current CSV file name, and csv is the file extension.

Step 3: Specify the path where the new excel file will be stored

Now, you’ll need to specify the path where the new Excel file will be stored. In my case, I specified the following path:

C:UsersRonDesktopTestNew_Products.xlsx

Where ‘New_Products’ is the new file name, and xlsx is the Excel file extension.

Step 4: Convert the CSV to Excel using Python

For this final step, you’ll need to use the following template to perform the conversion:

This is the code that I applied for our example (you’ll need to modify the paths to reflect the location where the files will be stored on your computer):

Run the code in Python and the new Excel file (i.e., New_Products) will get created at your specified location:

Tool to Convert CSV files to Excel files

In the final section of this guide, I’ll share with you a universal code that you may run in Python. This code will create a simple GUI to convert CSV files to Excel files:

Once you run the code in Python, you’ll see the following tkinter GUI:

Click on the ‘Import CSV File’ button:

A dialogue box will appear on your screen. Locate and then select your CSV file (and then click on Open):

Now click on the ‘Convert CSV to Excel’ button:

Finally, type a name for your new Excel file (e.g., New_Products) and then click on Save:

You’ll now see the new Excel file at your saved location:

Latest version

Released:

Convert csv file to excel file.

Project description

Convert csv file to excel file.

Install

Installed Command Line Utils

convert-csv-to-xlsx

Csv To Excel Python

Usage

Releases

v0.1.0 2020/03/30

First release.

Release historyRelease notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Csv File To Excel Python

Files for convert-csv-to-xlsx, version 0.1.0
Filename, size	File type	Python version	Upload date	Hashes
Filename, size convert-csv-to-xlsx-0.1.0.tar.gz (2.7 kB)	File type Source	Python version None	Upload date	Hashes

Csv To Excel Python

Hashes for convert-csv-to-xlsx-0.1.0.tar.gz

Convert Excel To Csv Python

Hashes for convert-csv-to-xlsx-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`3a9f0221efd68f8d08d5bb332571ce7c315e8f43aff006abfe1977e1d484adbc`
MD5	`0fd522c246c71047e54a83d87a53799b`
BLAKE2-256	`60ed8d3ac8c2524f954e1567998a5c13b8e263e312045d7d91e1ff202fd205fe`

Csv To Excel Python Downloadbackstage