issue with data types across parquet files
#2
by init5iv3 - opened
attempting to use this dataset using datasets library, but am getting data types casting errors
here is some of the output:
datasets.table.CastError: Couldn't cast
Dst Port: int64
Protocol: int64
Timestamp: string
Flow Duration: int64
Tot Fwd Pkts: int64
Tot Bwd Pkts: int64
TotLen Fwd Pkts: double
TotLen Bwd Pkts: double
Fwd Pkt Len Max: double
Fwd Pkt Len Min: double
Fwd Pkt Len Mean: double
Fwd Pkt Len Std: double
Bwd Pkt Len Max: double
Bwd Pkt Len Min: double
Bwd Pkt Len Mean: double
Bwd Pkt Len Std: double
Flow Byts/s: double
Flow Pkts/s: double
Flow IAT Mean: double
Flow IAT Std: double
Flow IAT Max: double
Flow IAT Min: double
Fwd IAT Tot: double
Fwd IAT Mean: double
Fwd IAT Std: double
Fwd IAT Max: double
Fwd IAT Min: double
Bwd IAT Tot: double
Bwd IAT Mean: double
Bwd IAT Std: double
Bwd IAT Max: double
Bwd IAT Min: double
Fwd PSH Flags: int64
Bwd PSH Flags: int64
Fwd URG Flags: int64
Bwd URG Flags: int64
Fwd Header Len: int64
Bwd Header Len: int64
Fwd Pkts/s: double
Bwd Pkts/s: double
Pkt Len Min: double
Pkt Len Max: double
Pkt Len Mean: double
Pkt Len Std: double
Pkt Len Var: double
FIN Flag Cnt: int64
SYN Flag Cnt: int64
RST Flag Cnt: int64
PSH Flag Cnt: int64
ACK Flag Cnt: int64
URG Flag Cnt: int64
CWE Flag Count: int64
ECE Flag Cnt: int64
Down/Up Ratio: double
Pkt Size Avg: double
Fwd Seg Size Avg: double
Bwd Seg Size Avg: double
Fwd Byts/b Avg: int64
Fwd Pkts/b Avg: int64
Fwd Blk Rate Avg: int64
Bwd Byts/b Avg: int64
Bwd Pkts/b Avg: int64
Bwd Blk Rate Avg: int64
Subflow Fwd Pkts: int64
Subflow Fwd Byts: int64
Subflow Bwd Pkts: int64
Subflow Bwd Byts: int64
Init Fwd Win Byts: int64
Init Bwd Win Byts: int64
Fwd Act Data Pkts: int64
Fwd Seg Size Min: int64
Active Mean: double
Active Std: double
Active Max: double
Active Min: double
Idle Mean: double
Idle Std: double
Idle Max: double
Idle Min: double
Label: string
Flow ID: double
Src IP: double
Src Port: double
Dst IP: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 10681
to
{'Dst Port': Value('float64'), 'Protocol': Value('float64'), 'Timestamp': Value('string'), 'Flow Duration': Value('float64'), 'Tot Fwd Pkts': Value('float64'), 'Tot Bwd Pkts': Value('float64'), 'TotLen Fwd Pkts': Value('float64'), 'TotLen Bwd Pkts': Value('float64'), 'Fwd Pkt Len Max': Value('float64'), 'Fwd Pkt Len Min': Value('float64'), 'Fwd Pkt Len Mean': Value('float64'), 'Fwd Pkt Len Std': Value('float64'), 'Bwd Pkt Len Max': Value('float64'), 'Bwd Pkt Len Min': Value('float64'), 'Bwd Pkt Len Mean': Value('float64'), 'Bwd Pkt Len Std': Value('float64'), 'Flow Byts/s': Value('float64'), 'Flow Pkts/s': Value('float64'), 'Flow IAT Mean': Value('float64'), 'Flow IAT Std': Value('float64'), 'Flow IAT Max': Value('float64'), 'Flow IAT Min': Value('float64'), 'Fwd IAT Tot': Value('float64'), 'Fwd IAT Mean': Value('float64'), 'Fwd IAT Std': Value('float64'), 'Fwd IAT Max': Value('float64'), 'Fwd IAT Min': Value('float64'), 'Bwd IAT Tot': Value('float64'), 'Bwd IAT Mean': Value('float64'), 'Bwd IAT Std': Value('float64'), 'Bwd IAT Max': Value('float64'), 'Bwd IAT Min': Value('float64'), 'Fwd PSH Flags': Value('float64'), 'Bwd PSH Flags': Value('float64'), 'Fwd URG Flags': Value('float64'), 'Bwd URG Flags': Value('float64'), 'Fwd Header Len': Value('float64'), 'Bwd Header Len': Value('float64'), 'Fwd Pkts/s': Value('float64'), 'Bwd Pkts/s': Value('float64'), 'Pkt Len Min': Value('float64'), 'Pkt Len Max': Value('float64'), 'Pkt Len Mean': Value('float64'), 'Pkt Len Std': Value('float64'), 'Pkt Len Var': Value('float64'), 'FIN Flag Cnt': Value('float64'), 'SYN Flag Cnt': Value('float64'), 'RST Flag Cnt': Value('float64'), 'PSH Flag Cnt': Value('float64'), 'ACK Flag Cnt': Value('float64'), 'URG Flag Cnt': Value('float64'), 'CWE Flag Count': Value('float64'), 'ECE Flag Cnt': Value('float64'), 'Down/Up Ratio': Value('float64'), 'Pkt Size Avg': Value('float64'), 'Fwd Seg Size Avg': Value('float64'), 'Bwd Seg Size Avg': Value('float64'), 'Fwd Byts/b Avg': Value('float64'), 'Fwd Pkts/b Avg': Value('float64'), 'Fwd Blk Rate Avg': Value('float64'), 'Bwd Byts/b Avg': Value('float64'), 'Bwd Pkts/b Avg': Value('float64'), 'Bwd Blk Rate Avg': Value('float64'), 'Subflow Fwd Pkts': Value('float64'), 'Subflow Fwd Byts': Value('float64'), 'Subflow Bwd Pkts': Value('float64'), 'Subflow Bwd Byts': Value('float64'), 'Init Fwd Win Byts': Value('float64'), 'Init Bwd Win Byts': Value('float64'), 'Fwd Act Data Pkts': Value('float64'), 'Fwd Seg Size Min': Value('float64'), 'Active Mean': Value('float64'), 'Active Std': Value('float64'), 'Active Max': Value('float64'), 'Active Min': Value('float64'), 'Idle Mean': Value('float64'), 'Idle Std': Value('float64'), 'Idle Max': Value('float64'), 'Idle Min': Value('float64'), 'Label': Value('string')}
because column names don't match
curious to know whether this was due to the automatic type conversion from .csv to parquet using pandas/pyarrow