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Exercise

Load your time series data

The most common way to import time series data in Python is by using the pandas library. You can use the read_csv() from pandas to read the contents of a file into a DataFrame. This can be achieved using the following command:

df = pd.read_csv("name_of_your_file.csv")

Once your data is loaded into Python, you can display the first rows of your DataFrame by calling the .head(n=5) method, where n=5 indicates that you want to print the first five rows of your DataFrame.

In this exercise, you will read in a time series dataset that contains the number of "great" inventions and scientific discoveries from 1860 to 1959, and display its first five rows.

Instructions
100 XP
  • Import the pandas library using the pd alias.
  • Read in the time series data from the csv file located at url_discoveries into a DataFrame called discoveries.
  • Print the first 5 lines of the DataFrame using the .head() method.