Find missing values
In the field of Data Science, it is common to encounter datasets with missing values. This is especially true in the case of time series data, where missing values can occur if a measurement fails to record the value at a specific timestamp. To count the number of missing values in a DataFrame called df
that contains time series data, you can use the command:
missing_values = df.isnull().sum()
In this exercise, you will learn how to find whether your data contains any missing values.
Este ejercicio forma parte del curso
Visualizing Time Series Data in Python
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Display first seven rows of co2_levels
print(___.____(____))