Data Interview Qs - Snowiest months

You're given the following dataset, containing information about a year's worth of weather. Using this data, calculate the percent of time it was snowing each month. Note: this will require manipulating and classifying the existing data.

To help get you started, below is code (Python) to import the dataset:

    
# Import libraries
    
%matplotlib inline
    
import pandas as pd
    
import matplotlib.pyplot as plt
    
import numpy as np
    
# Import data
    
weather_2012 = pd.read_csv('https://raw.githubusercontent.com/erood/interviewqs.
com_code_snippets/master/Datasets/weather_2012.csv', parse_dates=True, index_col='Date/Time')
    
# Preview data
    
weather_2012.head()
    

Solution will be written in Python for premium users.