Pandas library plays an important role in python for data analysis and manipulation. This tool is widely used for analyzing data with python.
If you are having trouble installing pandas on your Mac OS, you are in the right place. In this guide, you will get the idea of installing pandas on Mac step by step. So, let's get started.
Pandas library is used for data analysis. It takes the data as a CSV File or SQL database and converts it into a data frame. Working with a data frame is quite easier than working with lists, dictionaries, or NumPy array in python.
It can also open text files like TSV, Excel, etc.
There are several ways of installing pandas on Mac OS. Here I will recommend three ways of installing pandas. They are pip installation, MacPorts installation, and installation with Anaconda navigator.
At first, make sure python is installed on your pc. You can simply download it from the python website. Now validate if python is installed properly by checking the version. For that write the command below;
Now you can easily install pandas packages. For that;
If pip is not recognized by the command prompt you can write “pip3 install pandas”.
For Mac Ports installation, you will need the proper XCode command-line tools. Before installing X code, check your Mac OS version. You can easily install it from the app store. If X code is installed on Lion or mountain lion;
The above instructions will help you to install the necessary X code command-line tools for your platform.
If your Mac is compatible with Snow Leopard, your tools are already installed. After installing command-line tools for X code properly you will get compilers named clang and GCC. Without GCC you cannot install pandas correctly. So you must do this step. Now;
Installing python packages through Mac Ports will ease your task. It will take a little time.
For this method, you need to install the anaconda navigator. For installing the anaconda navigator;
After installing all the packages open the Pandas environment. Now select the console and start your first Pandas programming.