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