Install Import Openpyxl For Python In Mac

This Article discusses the famed “no module named xxx” import error in Python.

  1. Install Import Openpyxl For Python In Mac Operating System
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  3. Install Import Openpyxl For Python In Mac Shortcut
  4. Import Openpyxl
  5. Install Import Openpyxl For Python In Mac Os
Install import openpyxl for python in mac os

As someone who owns a Coding website and blog, I tend to keep an eye out on the Programming community and their troubles. If I notice enough demand for a certain topic or question, I’ll create a tutorial or make a post about it.

One day while going through a list of popular googles searches, I happened to notice an unusually large number of people making searches like “no module name xxx“. For some Python libraries, there would be over 10k monthly searches like this. If one were to add them all up, they would probably number well over 100k per month.

At any rate, I was quite surprised, and have decided to make this article as a guide, explaining this error, how to fix it and how to avoid running into this in the future.

Python provides openpyxl module for operating with Excel files. How to create Excel files, how to write, read etc. Can be implemented by this module. For installing openpyxl module, we can write this command in command prompt. Pip install openpyxl If we want to give a sheet title name Example code. Hello, I have been working for about an hour trying to run a simple python script that reads an excel file I have made. However, when I run it in the terminal I receive this error: Traceback (most recent call last): File 'Untitled.py', line 3, in import openpyxl ImportError: No module named openpyxl. Nov 08, 2018 Python provides openpyxl module for operating with Excel files. How to create Excel files, how to write, read etc. Can be implemented by this module. For installing openpyxl module, we can write this command in command prompt. Pip install openpyxl If we want to give a sheet title name Example code.

What does this Error mean?

As the name implies, this error occurs when Python is unable to locate a module that you have tried importing. And as expected of the Python interpreter, it immediately returns an exception, ModuleNotFoundError and shuts the program down.

So why was Python unable to find this module? Let’s assume you were trying to import this library called fly. You used the import fly statement, but of course, since no module called fly exists, the following error was thrown.

We’ll now proceed to examine every possible scenario in which this error can occur and how to fix it.

Library not installed

This is by far the most common reason. You’ve tried to import a library that you saw someone use in a YouTube tutorial, but the problem here is that Python does not come with all these libraries pre-installed and downloaded. Only a certain number of libraries, known as the Standard library can be imported directly. Popular examples of such libraries are DateTime and Tkinter.

So what do you do now? Well, you head over to the command prompt, navigate to your Python installation and use the Python package installer pip to download the library of your choice. It’s a very simple command, pip install <insert library here>.

Since I have the path to my Python.exe added to the list of default paths, I don’t have to manually navigate to it. If you were confused about any step in this process, head over to the Python setup guide where it’s discussed in detail.

Making sure you’re in the correct directory is of utmost importance. Most people make this mistake and simply try to call the pip install from the default location on the command prompt. You must first navigate to the folder with your Python.exe and then call the command. If you don’t know how to navigate the command prompt, you’ll have to look it up.

Multiple Python Installations

One issue that can complicate things is if you have multiple Python installations on your computer. And this is easily possible. As I’m writing this, I currently have two Python installations myself (accidentally of course). The first I happened to download when I was setting up Visual Studio, which would serve as my IDE for Python for a good while. My Python.exe file path looks something like this.

C://Program Files/Microsoft Visual Studio/Python37

Now, every time I download a library, it’s installed in the above folder. As a result only the python.exe in this folder can access those libraries. The second Python installation of mine was done through the regular method, and is stored elsewhere. As a result, it cannot access the libraries installed with the first Python installation.

Now how is this relevant to this article? Well, if you have multiple python installations, there’s a good chance you’ve gotten confused between the two and are importing the library from the wrong place. If this is the case, before rushing over to google this error, make sure that the library is installed at the Python installation you’re currently using.

Incorrect Library name

While extremely unlikely, there is a chance you messed up the library names. I know for fact that sometimes the actual name of a library and the name used to install the library can be a bit different.

For instance the popular web scrapper library BeautifulSoup is installed and imported with the name bs4. Some people may try to download or import it using the name BeautifulSoup, and that would return an error.

There’s a simple to find the name through which a library is imported. Do a google search like Python numpy and click on the first tutorial for it. 9 times out of 10 there will be a small section at the top where they mention how to install the library.

Importing a file

Unbeknownst to many python programmers, you can actually import another python file into your python program. Why we do this is a story for another article, where it’s explained in greater detail. But for now, we’ll just cover the import problems that may be caused while doing this.

Let’s assume you’re trying to import a file called data.py. To import this correctly, you must use import data. Note the lack of an extension. Secondly, it must be in the same directory as the file you’re importing it into. If the Python files are not in the same directory, a no module named data error will pop up.

You can still import a file even if it’s in another directory, but the process is a bit shaky, so its best to avoid it.

One final tip. Be careful while naming your files. Do not use the names of any libraries, like numpy.py or csv.py. If you do so, and simultaneously import that same library, Python will get confused between the two and try importing the file instead of the library.

Install Import Openpyxl For Python In Mac Operating System

I think that just about covers every scenario in which you could possibly face this error. Hopefully you’ve learnt something from this article and won’t have to worry about this error in the future.

This marks the end of the Python “no module named” error Article. Any suggestions or contributions for CodersLegacy are more than welcome. Relevant questions regarding the article can be asking in the comments section below.

Latest version

Install Import Openpyxl For Python In Mac Shortcut

Released:

Accelerated Excel XLSX Writing Library for Python 2/3

Project description

Accelerated Excel XLSX writing library for Python

master: dev: test coverage:

  • Authors: Kevin Wang and KevinZhang
  • Copyright 2015 Kevin Wang, Kevin Zhang. Portions copyright Google,Inc.
  • License: Simplified BSD License

Description

PyExcelerate is a Python for writing Excel-compatible XLSX spreadsheetfiles, with an emphasis on speed.

Benchmarks

Benchmark code located in pyexcelerate/tests/benchmark.py
Ubuntu 12.04 LTS, Core i5-3450, 8GB DDR3, Python 2.7.3

Installation

PyExcelerate is supported on Python 2.6, 2.7, 3.3, 3,4, and 3.5.

Usage

Writing bulk data to a range

PyExcelerate also permits you to write data to ranges directly, which isfaster than writing cell-by-cell.

Writing cell data

Fast

Merging cells

Styling cells

Styling cells causes non-negligible overhead. It will increaseyour execution time (up to 10x longer if done improperly!). Only stylecells if absolutely necessary.

Faster

Fast

Note that .style.format.format’s repetition is due to plannedsupport for conditional formatting and other related features. Theformatting syntax may be improved in the future.

Import

Styling rows

A simpler (and faster) way to style an entire row.

Faster

Install Import Openpyxl For Python In Mac Shortcut

Styling columns

Fastest

Available style attributes

Consistent with the implementation patterns above, the following styleparameters are available:

Each attribute also has constructors for implementing viaset_cell_style().

The following border styles are available: .-, ..-, --,.., =, ., medium -., medium -.., medium --,/-., _

Setting row heights and column widths

Row heights and column widths are set using the size attribute inStyle. Appropriate values are: * -1 for auto-fit * 0 forhidden * Any other value for the appropriate size.

For example, to hide column B:

Linked styles

PyExcelerate supports using style objects instead manually setting eachattribute as well. This permits you to modify the style at a later time.

Packaging with PyInstaller

PyInstaller is the only packager officially supported by PyExcelerate.Copy hook-pyexcelerate.Writer.py to your PyInstaller hooks directory.

Support

Please use the GitHub Issue Tracker and pull request system to reportbugs/issues and submit improvements/changes, respectively. Pullrequests *must* be based against the dev branch - if not, we will reject the PRand ask you to rebase against the correct branch. All nontrivialchanges to code should be accompanied by a test when appropriate. We usethe Nose testing framework.

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