Yes, you can filter all spans by a specific time range in the Phoenix UI using the search bar with Python boolean expressions, and you can export the filtered results. The UI supports time-based filtering, and you can also use the Python client to export spans within a time range as a DataFrame using the get_spans_dataframe or query_spans methods with start_time and end_time parameters.
For example, in code:
```
import phoenix as px
from datetime import datetime
client = px.Client()
start = datetime(2024, 6, 20, 8, 0, 0)
end = datetime(2024, 6, 20, 9, 0, 0)
df = client.query_spans(start_time=start, end_time=end)
```
According to the documentation, the same filter logic applies in the UI and Python client, and the exported data can be saved as a DataFrame or CSV file as needed. Would you like more detail on how to do this in the UI or with code?
Sources:
- <https://arize.com/docs/phoenix/how-to/extract-data-from-spans|Export Data & Query Spans | Phoenix>
- <https://arize.com/docs/phoenix/tracing/how-to-tracing/extract-data-from-spans|Export Data & Query Spans | Phoenix>
- <https://arize.com/docs/phoenix/release-notes/04.30.2025-span-querying-and-data-extraction-for-phoenix-client|Span Querying & Data Extraction for Phoenix Client>
