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53 lines
1.6 KiB
Markdown
53 lines
1.6 KiB
Markdown
---
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title: Tables Reporting (Pandas and CSV Files)
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---
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The [pandas_reporting.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/pandas_reporting.py) example demonstrates reporting tabular data from Pandas DataFrames and CSV files as tables.
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ClearML reports these tables in the **ClearML Web UI** **>** experiment details **>** **RESULTS** tab **>** **PLOTS**
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sub-tab.
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When the script runs, it creates an experiment named `table reporting`, which is associated with the `examples` project.
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## Reporting Pandas DataFrames as Tables
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Report Pandas DataFrames by calling the [Logger.report_table](../../references/sdk/logger.md#report_table)
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method, and providing the DataFrame in the `table_plot` parameter.
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```python
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# Report table - DataFrame with index
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df = pd.DataFrame(
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{
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"num_legs": [2, 4, 8, 0],
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"num_wings": [2, 0, 0, 0],
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"num_specimen_seen": [10, 2, 1, 8],
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},
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index=["falcon", "dog", "spider", "fish"],
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)
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df.index.name = "id"
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Logger.current_logger().report_table(
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"table pd",
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"PD with index",
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iteration=iteration,
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table_plot=df
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)
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```
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## Reporting CSV Files as Tables
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Report CSV files by providing the URL location of the CSV file in the `url` parameter. For a local CSV file, use the `csv` parameter.
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```python
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# Report table - CSV from path
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csv_url = "https://raw.githubusercontent.com/plotly/datasets/master/Mining-BTC-180.csv"
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Logger.current_logger().report_table(
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"table csv",
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"remote csv",
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iteration=iteration,
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url=csv_url
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)
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```
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