How to Install Seaborn on MacOS? Last Updated : 30 Sep, 2021 Comments Improve Suggest changes Like Article Like Report In this article, we will learn how to install seaborn in Python on MacOS. Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and is closely integrated with pandas data structures. Installation:Method 1: Using pip to install Seaborn Package Follow the below steps to install the Seaborn package on macOS using pip: Step 1: Install the latest Python3 in MacOS Step 2: Check if pip3 and python3 are correctly installed. python3 --version pip3 --version Step 3: Upgrade your pip to avoid errors during installation. pip3 install --upgrade pip Step 4: Enter the following command to install Seaborn using pip3. pip3 install seabornMethod 2: Using setup.py to install Seaborn Follow the below steps to install the Seaborn package on macOS using the setup.py file: Step 1: Download the latest source package of Seaborn for python3 from here. curl https://files.pythonhosted.org/packages/58/81/51b7ee560a1b01d5c47cae22bfed4e79f1529a08cdff950506097b0d51e1/seaborn-0.11.2.tar.gz > seaborn.tar.gz Step 2: Extract the downloaded package using the following command. tar -xzvf seaborn.tar.gz Step 3: Go inside the folder and Enter the following command to install the package. Note: You must have developer tools for XCode MacOS installed in your system cd seaborn-0.11.2 python3 setup.py installVerifying Seaborn installation on macOS: Make the following import in your python terminal to verify if the installation has been done properly: import seaborn If there is any error while importing the module then is not installed properly. Comment More infoAdvertise with us Next Article How to Install Seaborn on MacOS? anilabhadatta Follow Improve Article Tags : How To Installation Guide Python-Seaborn how-to-install Similar Reads How to Install Theano on MacOS? Theano is a Python library that allows us to evaluate mathematical operations including multi-dimensional arrays so efficiently. It is mostly used in building Deep Learning Projects. It works way faster on Graphics Processing Unit (GPU) rather than on the CPU. In this article, we will look into the 1 min read How to Install Scala on MacOS? 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