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 raining each month. Note: this will require manipulating and classifying the existing data.
As a reference, below is code 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()
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