Data Types

We can use the info() function to display the data types in our dataset.

Example

print(health_data.info())

Result:

This dataset contains two data types:

Float64
Object

Objects can’t be used for calculations, so they must be converted to float64 using the astype() function. In the example, the “Average_Pulse” and “Max_Pulse” columns are converted to float64, while the other columns are already in this format.

Example

health_data[“Average_Pulse”] = health_data[‘Average_Pulse’].astype(float)
health_data[“Max_Pulse”] = health_data[“Max_Pulse”].astype(float)

print (health_data.info())

Result:

Now, the dataset consists entirely of float64 data types.