This project demonstrates my understanding of Pandas, Numpy, and Matplotlib. I created a Pandas data frame that stores the number of M&Ms for each M&M color. Then, I used Pandas and Numpy to create a new row that contains the subtotal for each M&M color. Using the same process, I made another row to count the total number of M&Ms.
Then, I created a visual for the table of the M&M data using Matplotlib. I made a bar graph of the subtotal row of the M&M colors, ranging from greatest to least. I also created a pie chart of the subtotals.
- Matplotlib: A plotting library used to visualize data.
pip install matplotlib- Numpy: Has support for large multi-dimensional arrays and matrices. It also has many high-level mathematical functions to operate on Numpy arrays.
pip install numpy- Pandas: Used for data manipulation, analysis, and for storing data.
pip install pandasMain menu
Creates a visual of the M&M data frame.
Creates a Bar Graph visual of the Subtotal row from greatest to least.
Creates a Pie Chart of the Subtotal row.
