This code will read the CSV file expenses.csv, calculate the monthly expenses and risk factor, and plot the results.
- Python 3
- Matplotlib
- Pandas
To run the code, save it as monthly_expenses.py and run it from the command line:
python monthly_expenses.py
This will create a plot showing the monthly expenses and risk factor.
The output of the code is a plot showing the monthly expenses and risk factor. The plot is labeled with the following information:
- The x-axis shows the time in months.
- The y-axis shows the amount of money spent in dollars.
- The red line shows the daily expenses.
- The blue line shows the monthly expenses.
- The green line shows the risk factor.
The plot also has a title, which is "Monthly Expenses\n1 day = 0.3 & 1 month = 30 days". The title is customized to give the reader more information about the plot.
This code was written ganesh nikhil
This code is licensed under the MIT License.
The code uses the style.use() function to set the style of the plot. This will make the plot look more professional. The code also uses the legend() function to add a legend to the plot. This will make it easier to understand what the different lines represent. The code also uses the grid() function to add a grid to the plot. This will make the plot easier to read.
The code is well-commented, so it should be easy to understand how it works. If you have any questions, please feel free to contact Bard.
- Matplotlib
- Pandas
You can download the libraries required for this code by creating a requirements.txt file and listing the libraries in it. Then, you can use the pip install -r requirements.txt command to install the libraries.
For example, if you have the following libraries in your requirements.txt file:
matplotlib
pandas
Then, you can install the libraries by running the following command:
pip install -r requirements.txt
This will install the latest versions of the libraries in your Python environment.