I am trying to create a bar chart that answers the question: Which gender spent the most money each year? I have a dataset that has each transaction listed with money spent, gender (male, female, other), and date (10-16-2014, 9-8-2015, 7-29-2016, etc.) attached to each entry. I want create a bar stacked bar chart that shows the total amount spent by each gender, every year (just the year). Please Help!

    THIS IS WHAT I HAVE SO FAR (Doesn't work):
    import pandas as pd 
    import numpy as np
    import matplotlib.pyplot as plt
    import seaborn as sns
    sns.set(style = "white", color_codes=True)
    sales = pd.read_csv("/kaggle/input/mobile-sales-dataset/mobile_sales.csv")

   
    sales.groupby(['CustomerGender'])['TotalRevenue'].sum()
    genders =["Male","Female","Other"]
    w = 0.2
    xp = range(len(genders))

    plt.bar(xp,genders)
    #p1 = plt.bar(bar1, male, w, label = "Male")
    #p2 = plt.bar(bar2, female, w, label = "Female")
    #p3 = plt.bar(bar3, other, w, label = "Other")

    plt.ylabel('Total Revenue')
    plt.title('Total Revenue by Gender')
    plt.xticks(xp,x)
    plt.legend()
    plt.show()
```