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# Change the denominator if you change start_time above.
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# Change the denominator if you change summary window size away from 10s.
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df.requests_per_s = df.throughput /10
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px.export(df, px.otel.Data(
@@ -261,9 +261,9 @@ px.export(df, px.otel.Data(
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> This is the script we developed in [Step 2](/tutorials/integrations/otel/#write-the-pxl-script) with a few modifications:
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> - We changed the DataFrame's `start_time`argument to use `px.plugin.start_time`. This value can be configured using the `Summary Window` field on this page.
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> - We changed the DataFrame's `start_time`and `end_time` arguments to use `px.plugin.start_time` and `px.plugin.end_time`. These are set whenever the plugin executes the script. The size of this window sample can be configured using the `Summary Window` field on this page.
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> - We removed the `Endpoint` parameter. We configured the plugin with this value in Step 3.
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> - We removed the `Endpoint` parameter. The plugin sets this value from what We configured in Step 3.
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> - We removed the `px.display()` call on the last line. This was used to display the data in the Live UI when developing our script in the Scratch Pad.
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