A FutureWarning is a warning message in Python that warns the user about possible issues that may arise in a future version of the library or package they are using. In this particular case, the warning message is related to an upcoming change in the default datatype for empty Series objects.
In previous versions of the library, an empty Series object would default to a datatype of float64. However, in a future version, the default datatype for empty Series objects will be changed to object. This change could potentially lead to compatibility issues or unexpected behavior in your code.
To address this warning and ensure consistent behavior across different versions of the library, the warning message suggests explicitly specifying the desired datatype when creating an empty Series object.
Example
# Import the necessary library
import pandas as pd
# Create an empty Series without explicitly specifying the datatype
empty_series = pd.Series()
# Trigger the FutureWarning
When running the above code in a future version of the pandas library, you will receive the FutureWarning message. To silence this warning and ensure consistent behavior, you can explicitly specify the datatype for the empty Series object:
# Import the necessary library
import pandas as pd
# Create an empty Series with explicitly specified datatype
empty_series = pd.Series(dtype='float64')
# No FutureWarning will be triggered