How to count and plot with separated features?

Question

I have the data frame that looks like this: Date Visa Mastercard Amex Paypal 1/1/20 0 20 0 0 2/1/20 15 0 0 0 3/1/20 30 0 0 0 4/1/20 0 15 0 0 5/1/20 0 0 50 0 I will like to count the number of times Visa, MasterCard, AMEX, and PayPal appeared, which is 2 times for visa and Mastercard, 1x for AMEX, and 0 for Paypal. And then I will like to plot it. Is there any way to go about dealing with this? I do have the rough idea based on using df.info() Any help is appreciated Select the correct answer from above options

Answer 1

import matplotlib.pyplot as plt visa = df['Visa'].value_counts() mc = df['Mastercard'].value_counts() amex= df['Amex'].value_counts() pp = df['Paypal'].value_counts() plt.plot([visa,mc,amex,pp]) plt.show() This takes a value counts and plots them all against each other. If you are a beginner and want to know more about Python the do check out the Python for data science