I want to extract out the "A"(s) from this column. After doing that I want to be able to print the other data from other columns associated with "A" in the same row. However, my code printed this instead:
outputs:
UniqueCarrier NaN
CancellationCode NaN
Name: CancellationCode, dtype: object
None
The column CancellationCode
looks like this:
CancellationCode:
NaN
A
NaN
B
NaN
I want to get it to print in a data frame format with the filtered rows and columns.
Here is my code below:
cancellation_reason = (flight_data_finalcopy["CancellationCode"] == "A")
cancellation_reasons_filtered = cancellation_reason[["UniqueCarrier", "AirlineID", "Origin"]]
print(display(cancellation_reasons_filtered))
try this
cancellation_reason=flight_data_finalcopy[flight_data_finalcopy["CancellationCode"] == "A"]
cancellation_reasons_filtered = cancellation_reason[["UniqueCarrier", "AirlineID", "Origin"]]
print(display(cancellation_reasons_filtered))
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