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# 1. import pandas as pd / pd.read_csv() the simple.csv. Get top 3 entries via .head() and assign to df.
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# 2. Define a function that takes an input, prints .name attribute of input, prints type(input) and prints the input.
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# 3. Use the dataframe.apply() method, and supply the function (with no parenthesis) and axis=1
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# 4. Now do it with axis=0. Which one of these does a function by row? Which by column? Significance of .name?
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# 5. Write a function for a row series that gets the date and count and prints "The Count was X on Date X."
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# 6. Write a function that returns a string. Apply this function to your dataframe. What is the result?
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# 7. Use your new function, and assign the returned series it to a new column, df['New Column 1']
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# 8. Write a function that takes a count and adds 5. Use map() with your function on your df['Count']
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# 9. This returns a series with each value individually altered. Assign the result to df['New Column 2]