Jupyter Notebooks Introduction

Getting Data from the web and placing it in a DataFrame

1) Enter all imports

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2) Set the range of data to get by date, convert the text to a date type and place in a variable. (get 8 years)

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3) Get Nike stock market data and place the data into a DataFrame using the above range.

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4) Print the entire DataFrame that has the Nike stock data.

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5) Print just the first 10 rows of the DataFrame that has the Nike stock data.

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Setting the DataFrame Index

6) Write the code that removes only the index setting from the Nike DataFrame and keeps all the data.

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7) Print just the head of the DataFrame that has the Nike stock prices.

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8) Write the code that sets the column 'Date' as the index for the Nike stock prices DataFrame.

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9) Print just the head of the DataFrame that has the Nike stock data.

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Deleting/Dropping columns

10) Write the code that drops all the columns except the index and 'Adj Close'.

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11) Print just the head of the DataFrame that has the Nike stock data.

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Plotting

12) Import the packages to graph data and allows to change the graph style

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13) Write the code that graphs the Nike stock DataFrame.