Pandas and Matplotlib Lab #

In this lab, you will be introduced to two data science Python frameworks, Pandas and Matplotlib.

[0] Setup #

💻 Start by cloning your lab repo from Github. Starter code for the lab is provided in the lab-pandas-matplotlib repo.

cd desktop/cs9/unit_01
git clone https://github.com/the-isf-academy/lab-pandas-matplotlib-YOUR-GITHUB-USERNAME.git

💻 Download the required Python packages.

pip3 install pandas
pip3 install matplotlib

[1] Intro to Pandas and Matplotlib #

Pandas and Matplotlib are widely used Python frameworks for data science. Pandas is used to analyze large data sets and Matplotlib is used to visualize it.

💻 Open Jupyter notebook inside of your repository: jupyter notebook

💻 Open the pandas-matplotlib.ipynb lab in Jupyter using the window that popped up in your web browser.

💻 Complete the lab in the Jupyter notebook.

Each person should work on their own lab, but you can work together in groups to complete it.

[Deliverables] #

⚡✨

💻 For this lab, you should push updates to the following files to Github.

pandas-matplotlib.ipynb file with code for each exercise

[2] Extension #

In this extension, you will answer research questions about the Pokemon dataset.

💻 Open the sumstats.ipynb file in the lab-sumstats directory

💻 At the bottom of the file, use pandas and matplotlib to answer the following questions about the pokemon_dataset.csv.

What are the top 5 Pokemon with the highest and lowest speed?
What are the top 5 strongest non-legendary pokemon?
What is the relationship between type 1 and attack?