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.

Este exercício faz parte do curso

Visualizing Time Series Data in Python

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Instruções do exercício

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.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Import pandas
____

# Read in the file content in a DataFrame called discoveries
discoveries = ____(url_discoveries)

# Display the first five lines of the DataFrame
print(discoveries.____)

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