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35 lines
1.3 KiB
Markdown
35 lines
1.3 KiB
Markdown
---
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title: Scalars Reporting
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---
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The [scalar_reporting.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/scalar_reporting.py) script
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demonstrates explicit scalar reporting. ClearML reports scalars in the **ClearML Web UI** **>** experiment details
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**>** **SCALARS** tab.
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When the script runs, it creates an experiment named `scalar reporting` in the `examples` project.
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To reports scalars, call [`Logger.report_scalar()`](../../references/sdk/logger.md#report_scalar).
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To report more than one series on the same plot, use the same `title` argument. For different plots, use different
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`title` arguments.
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```python
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# report two scalar series on the same graph
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for i in range(100):
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Logger.current_logger().report_scalar(
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title="unified graph", series="series A", iteration=i, value=1./(i+1)
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)
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Logger.current_logger().report_scalar(
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title="unified graph", series="series B", iteration=i, value=10./(i+1)
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)
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# report two scalar series on two different graphs
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for i in range(100):
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Logger.current_logger().report_scalar(
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title="graph A", series="series A", iteration=i, value=1./(i+1)
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)
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Logger.current_logger().report_scalar(
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title="graph B", series="series B", iteration=i, value=10./(i+1)
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)
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```
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