{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Intro" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook demonstrates basic usage of the firefly_client API method `show_table` for a file with multiple tables.\n", "\n", "Note that it may be necessary to wait for some cells (like those displaying an table) to complete before executing later cells." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Call the imports for firefly_client:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from firefly_client import FireflyClient" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example, we use the IRSA Viewer - a public firefly server. The firefly server can also be run locally, e.g. via a Firefly Docker image obtained from https://hub.docker.com/r/ipac/firefly/tags/. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "url='https://irsa.ipac.caltech.edu/irsaviewer'\n", "# url=http://127.0.0.1:8080/firefly # if you have firefly server running locally\n", "\n", "fc = FireflyClient.make_client(url)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The following example involves 2 files in different formats that contain multiple tables, 1 FITS and 1 VOTable (in XML style). If none are present, try to get a FITS from KOA (https://koa.ipac.caltech.edu/cgi-bin/KOA/nph-KOAlogin) and a XML VOTable through an Extended Name search on the classic version of NED (https://ned.ipac.caltech.edu/classic) and save them to a local computer path. To obtain the files directly, follow the links below:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "FITS: https://koa.ipac.caltech.edu/cgi-bin/getKOA/nph-getKOA?filehand=/koadata40/MOSFIRE/20210502/lev0/MF.20210502.18830.fits\n", "

\n", "VOTable: https://ned.ipac.caltech.edu/cgi-bin/objsearch?objname=M31&extend=no&hconst=73&omegam=0.27&omegav=0.73&corr_z=1&out_csys=Equatorial&out_equinox=J2000.0&obj_sort=RA+or+Longitude&of=xml_all&zv_breaker=30000.0&list_limit=5&img_stamp=YES" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Please set `testdata_repo_path` to be the local path where the FITS and VOTable files are located:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "testdata_repo_path = '/hydra/cm' # to be reset to where test files are located on your system" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load a FITS containing multiple tables" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Upload a file in FITS format that contains multiple tables and display it within the browser (noting that it may likely appear as though only the initial one is visible):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "localfile = os.path.join(testdata_repo_path, 'MF.20210502.18830.fits')\n", "filename = fc.upload_file(localfile)\n", "\n", "fc.show_table(filename)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Look at another table within the FITS file in the browser (simply the only other one included for the case being looked at):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fc.show_table(filename, table_index=2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load a VOTable containing multiple tables" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Upload a file in XML format which functions as a VOTable that contains multiple tables display it within the browser (noting that it may likely appear as though only the initial one is visible):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "localfile = os.path.join(testdata_repo_path, 'Mr31objsearch.xml')\n", "filename = fc.upload_file(localfile)\n", "\n", "fc.show_table(filename, tbl_id='votable-0')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Look at another table within the VOTable in the broswer (simply the only other one included for the case being looked at):" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "fc.show_table(filename, tbl_id='votable-1', table_index=1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.9" } }, "nbformat": 4, "nbformat_minor": 4 }