| import pyarrow as pa |
|
|
| with pa.memory_map( |
| "graphs/out/57926662-ef6c-4d33-b456-aa79b8c0fc60/whisper_text.arrow", "r" |
| ) as source: |
| df_w = pa.RecordBatchStreamReader(source).read_all() |
|
|
| with pa.memory_map( |
| "graphs/out/57926662-ef6c-4d33-b456-aa79b8c0fc60/saved_file.arrow", "r" |
| ) as source: |
| df_i = pa.RecordBatchStreamReader(source).read_all() |
|
|
|
|
| df_w = df_w.to_pandas() |
| df_i = df_i.to_pandas() |
|
|
| df_i["origin"] = df_i["saved_file"].map(lambda x: x[0]["origin"]) |
| df_w["whisper_text"] = df_w["whisper_text"].map(lambda x: x[0]) |
|
|
| df = df_i.merge(df_w, on="trace_id") |
|
|
| print(df) |
|
|
| print(df.columns) |
|
|
|
|
| print(df.groupby(by=["trace_id", "origin"]).count()) |
|
|
|
|
| print(df.groupby(by=["whisper_text", "origin"]).count()) |
|
|
