Explore JWQL database tables through the web browser


This page allows users to interactively explore the JWQL database tables. The main function of this tool is to visually inspect data through the JWQL Web Application. Simply select a table from the dropdown menu to begin, if further investigation of the table is needed, you can click the "Download Data" button to obtain the displayed table as a CSV file.

The database table naming convention follows:

<instrument>_<monitor>_<stat_type></stat_type> For example, if a user is interested in the statistics from the NIRCAM Bias Monitor, the table to investigate would be nircam_bias_stats


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Select JWQL Database Table



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Download Data {% for column in table_columns %} {% endfor %} {% for row in table_rows %} {% for value in row %} {% endfor %} {% endfor %} {% for column in table_columns %} {% endfor %}
{{ column }}
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Importing A Table Using Python's Pandas Library


After downloading JWQLDB data, it is simple to import this data in a python session using pandas. Visit the pandas documentation for more information.

                
                import pandas as pd  # import pandas

                # Open CSV file with pandas
                nircam_bias_stats = pd.read_csv('/path/to/downloads/nircam_bias_stats.csv')

                print(nircam_bias_stats.columns)  #  to see column names.

                print(nircam_bias_stats['expstart']) #  to print exposure start times.