as_pandas() -> as_pandas_dataframe(); add __str__ representation Change-Id: I357f9544572fd93bd4a50a9b11f05aaa38121964
diff --git a/src/trace_processor/python/example.py b/src/trace_processor/python/example.py index 5788aa3..b3925a4 100644 --- a/src/trace_processor/python/example.py +++ b/src/trace_processor/python/example.py
@@ -46,14 +46,14 @@ addr=args.address, file_path=args.file, bin_path=args.binary) # Iterate through QueryResultIterator - res_it = tp.query('select name from slice') + res_it = tp.query('select * from slice limit 10') for row in res_it: print(row.name) # Convert QueryResultIterator into a pandas dataframe + iterate. This yields # the same results as the function above. try: - res_df = tp.query('select name from slice').as_pandas() + res_df = tp.query('select * from slice limit 10').as_pandas_dataframe() for index, row in res_df.iterrows(): print(row['name']) except Exception: