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jdnc/vizier-add-row-examples.json

Created July 8, 2013 14:35
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add_row seems to work well when the number of columns is restricted to be the same in all the votables from different catalogs. Here are some common examples with this
Raw
vizier-add-row-examples.json
{
"metadata": {
"name": "vizier-examples-add-row"
},
"name": "vizier-examples-add-row",
"nbformat": 2,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": "from astroquery.vizier import Vizier\nimport astropy.units as u\nimport astropy.coordinates as coord",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "WARNING: ConfigurationDefaultMissingWarning: Requested default configuration file /home/rk7/astropy/astropy/astropy.cfg is not a file. Cannot install default profile. If you are importing from source, this is expected. [astropy]"
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"source": "When all the columns in all the Votables are the same then combining them with add_row does work\nbut it won't if different votables have different columns. Here are most exaples, using only the common \ncolumns:"
},
{
"cell_type": "code",
"collapsed": false,
"input": "v = Vizier(columns=['_RAJ2000', '_DEJ2000'])\nv.query_object(\"m1\")",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "WARNING: W27: None:34:2: W27: COOSYS deprecated in VOTable 1.2 [astropy.io.votable.exceptions]"
},
{
"html": "<table><tr><th>_RAJ2000</th><th>_DEJ2000</th></tr><tr><td>83.63520</td><td>22.02480</td></tr><tr><td>83.62880</td><td>22.01900</td></tr><tr><td>83.62880</td><td>22.01900</td></tr><tr><td>83.61523</td><td>21.98653</td></tr><tr><td>83.62547</td><td>21.98287</td></tr><tr><td>83.62556</td><td>21.98263</td></tr><tr><td>83.62549</td><td>21.98278</td></tr><tr><td>83.66388</td><td>22.00853</td></tr><tr><td>83.66109</td><td>22.03038</td></tr><tr><td>83.66097</td><td>22.03047</td></tr><tr><td>83.62537</td><td>21.98288</td></tr><tr><td>...</td><td>...</td></tr><tr><td>83.62920</td><td>22.01670</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.62710</td><td>22.00000</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>83.64559</td><td>22.01045</td></tr></table>",
"output_type": "pyout",
"prompt_number": 4,
"text": "<Table rows=736 names=('_RAJ2000','_DEJ2000')>\nmasked_array(data = [(83.6352, 22.0248) (83.6288, 22.019) (83.6288, 22.019)\n (83.615228, 21.986525) (83.625475, 21.98287) (83.62556, 21.98263)\n (83.62549, 21.98278) (83.66388, 22.00853) (83.66109, 22.03038)\n (83.66097, 22.03047) (83.625367, 21.982881) (83.627434, 22.016859)\n (83.630203, 22.01515) (83.630542, 22.014614) (83.631959, 22.045945)\n (83.640187, 22.044295) (83.625361, 21.982729) (83.625, 21.9828)\n (83.600415, 22.021152) (83.602009, 22.007845) (83.603053, 22.007894)\n (83.607523, 22.023716) (83.608628, 22.022961) (83.60382, 22.008406)\n (83.632035, 22.045681) (83.640027, 22.044189) (83.645804, 22.040349)\n (83.625353, 21.982729) (83.625544, 21.982947) (83.63897, 21.981755)\n (83.615316, 21.986238) (83.625361, 21.982729) (83.639327, 22.041625)\n (83.66382, 22.008448) (83.627101, 22.016781) (83.63058, 22.014609)\n (83.639327, 22.041625) (83.640194, 22.044233) (83.646578, 22.043244)\n (83.61309, 21.990124) (83.625369, 21.98273) (83.637421, 21.997693)\n (83.64297, 21.999397) (83.644224, 21.991169) (83.6236, 22.0358)\n (83.6356, 22.011) (83.6289, 22.0091) (83.625, 22.0167) (83.625, 22.0167)\n (83.625, 22.0167) (83.6053, 22.0345) (83.6065, 22.0328) (83.6131, 22.0086)\n (83.6189, 22.0078) (83.6189, 22.0105) (83.6273, 22.028) (83.6065, 22.0328)\n (83.6482, 22.0298) (83.6438, 21.9979) (83.6189, 22.0105)\n (83.6236, 22.0358) (83.6356, 22.011) (83.609363, 21.996489)\n (83.613146, 21.990255) (83.615275, 21.986227) (83.617877, 21.996504)\n (83.637314, 21.996283) (83.6292, 22.0217) (83.6323, 22.0161)\n (83.62725, 22.01603) (83.62728, 22.02102) (83.62734, 22.03271)\n (83.62716, 21.99937) (83.62725, 22.01603) (83.6498, 22.0211)\n (83.6216, 22.0088) (83.657815, 21.990755) (83.653792, 21.998593)\n (83.656584, 22.000042) (83.663206, 22.000358) (83.660189, 22.001045)\n (83.639441, 21.981786) (83.628789, 21.984079) (83.64252, 21.98613)\n (83.652479, 21.987931) (83.637587, 21.989349) (83.639436, 21.981784)\n 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(83.63333, 22.01444) (83.63333, 22.01444) (83.6329, 22.0145)\n (83.6359, 22.0173) (83.6359, 22.0173) (83.6299, 22.0173)\n (83.6342, 22.0124) (83.6342, 22.0122) (83.6163, 22.0065)\n (83.6161, 22.0065) (83.616, 22.0064) (83.62574, 22.02338)\n (83.63279, 22.01259) (83.63279, 22.01259) (83.63279, 22.01259)\n (83.63279, 22.01259) (83.64329, 21.99444) (83.64329, 21.99444)\n (83.64329, 21.99444) (83.64329, 21.99444) (83.64329, 21.99444)\n (83.63321, 22.01447) (83.63321, 22.01447) (83.63137, 22.00769)\n (83.63137, 22.00769) (83.63137, 22.00769) (83.623, 22.0126)\n (83.623, 22.0126) (83.623, 22.0126) (83.625, 22.0135) (83.625, 22.0135)\n (83.63313, 22.0145) (83.6333, 22.0144) (83.63312, 22.01456)\n (83.6332, 22.0145) (83.64917, 22.01022) (83.63308, 22.0145)\n (83.63, 22.016) (83.62375, 22.0005) (83.61825, 22.005111)\n (83.649167, 22.010222) (83.616792, 22.034028) (83.645792, 22.035333)\n (83.6323, 22.0207) (83.6314, 22.018) (83.6314, 22.018) (83.6331, 22.0144)\n (83.6222, 22.0107) (83.6222, 22.0107) (83.6222, 22.0107)\n (83.6222, 22.0107) (83.6222, 22.0107) (83.6217, 22.0107)\n (83.62454, 21.98333) (83.63137, 22.01464) (83.63208, 22.01342)\n (83.64254, 21.99375) (83.63, 22.01) (83.6275, 22.0372) (83.6142, 22.0408)\n (83.6267, 22.0308) (83.6304, 22.0125) (83.6645, 22.0005)\n (83.6142, 22.0408) (83.62708, 22.01667) (83.62708, 21.99722)\n (83.62708, 22.0) (83.63608, 22.00278) (83.63308, 22.00278)\n (83.63008, 22.00278) (83.63, 22.0383) (83.629, 22.017) (83.633, 22.014)\n (83.633, 22.014) (83.616, 21.999) (83.632, 22.02) (83.6292, 22.015)\n (83.63321, 22.01447) (83.63321, 22.01447) (83.63321, 22.01447)\n (83.63321, 22.01447) (83.6287, 22.0193) (83.632, 22.016)\n (83.6412, 22.0247) (83.63321, 22.01447) (83.61533, 22.03719)\n (83.61558, 22.03789) (83.61683, 22.03858) (83.65121, 21.99147)\n (83.65125, 21.9915) (83.63333, 22.01444) (83.63333, 22.01444)\n (83.63333, 22.01444) (83.63333, 22.01444) (83.63333, 22.01444)\n (83.6291, 22.0172) (83.63313, 22.01447) (83.632, 22.016) 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22.044295)\n (83.625361, 21.982729) (83.625, 21.9828) (83.600415, 22.021152)\n (83.602009, 22.007845) (83.603053, 22.007894) (83.607523, 22.023716)\n (83.608628, 22.022961) (83.60382, 22.008406) (83.632035, 22.045681)\n (83.640027, 22.044189) (83.645804, 22.040349) (83.625353, 21.982729)\n (83.625544, 21.982947) (83.63897, 21.981755) (83.615316, 21.986238)\n (83.625361, 21.982729) (83.639327, 22.041625) (83.66382, 22.008448)\n (83.627101, 22.016781) (83.63058, 22.014609) (83.639327, 22.041625)\n (83.640194, 22.044233) (83.646578, 22.043244) (83.61309, 21.990124)\n (83.625369, 21.98273) (83.637421, 21.997693) (83.64297, 21.999397)\n (83.644224, 21.991169) (83.6236, 22.0358) (83.6356, 22.011)\n (83.6289, 22.0091) (83.625, 22.0167) (83.625, 22.0167) (83.625, 22.0167)\n (83.6053, 22.0345) (83.6065, 22.0328) (83.6131, 22.0086)\n (83.6189, 22.0078) (83.6189, 22.0105) (83.6273, 22.028) (83.6065, 22.0328)\n (83.6482, 22.0298) (83.6438, 21.9979) (83.6189, 22.0105)\n (83.6236, 22.0358) (83.6356, 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}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": "v = Vizier(columns=[\"_RA\", \"_DE\", \"Vmag\", \"B-V\"], column_filters={\"Vmag\":\"<12.5\"}, keywords=[\"optical\", \"uv\"])\nv.query_object(\"HD 226868\", catalog=[\"HIP\"])",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "WARNING: W06: None:48:4: W06: Invalid UCD 'phot.color;em.opt.B;em.opt.V': Unknown word 'phot.color' [astropy.io.votable.exceptions]\nWARNING: W06: None:122:4: W06: Invalid UCD 'phot.color;em.opt.B;em.opt.V': Unknown word 'phot.color' [astropy.io.votable.exceptions]"
},
{
"html": "<table><tr><th>_RAJ2000</th><th>_DEJ2000</th><th>Vmag</th><th>B-V</th></tr><tr><td>299.590315</td><td>35.201604</td><td>8.84</td><td>0.730</td></tr><tr><td>299.590315</td><td>35.201604</td><td>8.84</td><td>0.730</td></tr><tr><td>299.590315</td><td>35.201604</td><td>8.84</td><td>0.730</td></tr><tr><td>299.590315</td><td>35.201604</td><td>8.84</td><td>0.730</td></tr><tr><td>299.590307</td><td>35.201644</td><td>8.94</td><td>0.714</td></tr><tr><td>299.590056</td><td>35.216801</td><td>10.07</td><td>0.606</td></tr><tr><td>299.590307</td><td>35.201644</td><td>8.94</td><td>0.714</td></tr><tr><td>299.590056</td><td>35.216801</td><td>10.07</td><td>0.606</td></tr><tr><td>299.590307</td><td>35.201644</td><td>8.94</td><td>0.714</td></tr><tr><td>299.590056</td><td>35.216801</td><td>10.07</td><td>0.606</td></tr><tr><td>299.590307</td><td>35.201644</td><td>8.94</td><td>0.714</td></tr><tr><td>299.590056</td><td>35.216801</td><td>10.07</td><td>0.606</td></tr></table>",
"output_type": "pyout",
"prompt_number": 4,
"text": "<Table rows=12 names=('_RAJ2000','_DEJ2000','Vmag','B-V')>\nmasked_array(data = [(299.590315, 35.201604, 8.84000015258789, 0.7300000190734863)\n (299.590315, 35.201604, 8.84000015258789, 0.7300000190734863)\n (299.590315, 35.201604, 8.84000015258789, 0.7300000190734863)\n (299.590315, 35.201604, 8.84000015258789, 0.7300000190734863)\n (299.590307, 35.201644, 8.9399995803833, 0.7139999866485596)\n (299.590056, 35.216801, 10.069999694824219, 0.6060000061988831)\n (299.590307, 35.201644, 8.9399995803833, 0.7139999866485596)\n (299.590056, 35.216801, 10.069999694824219, 0.6060000061988831)\n (299.590307, 35.201644, 8.9399995803833, 0.7139999866485596)\n (299.590056, 35.216801, 10.069999694824219, 0.6060000061988831)\n (299.590307, 35.201644, 8.9399995803833, 0.7139999866485596)\n (299.590056, 35.216801, 10.069999694824219, 0.6060000061988831)],\n mask = [(False, False, False, False) (False, False, False, False)\n (False, False, False, False) (False, False, False, False)\n (False, False, False, False) (False, False, False, False)\n (False, False, False, False) (False, False, False, False)\n (False, False, False, False) (False, False, False, False)\n (False, False, False, False) (False, False, False, False)],\n fill_value = (1e+20, 1e+20, 1.0000000200408773e+20, 1.0000000200408773e+20),\n dtype = [('_RAJ2000', '<f8'), ('_DEJ2000', '<f8'), ('Vmag', '<f4'), ('B-V', '<f4')])"
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"source": "If the keyword is not present, then it emits a warning."
},
{
"cell_type": "markdown",
"source": "Now we can use this for a region query, that is specified nearly the same as an object query.\nThe keyword can also be set later on"
},
{
"cell_type": "code",
"collapsed": true,
"input": "v = Vizier(columns=[\"_RA\", \"_DE\"])",
"language": "python",
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": "v.keywords = [\"chandra\", \"xry\"]",
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "WARNING: xry : No such keyword [astroquery.vizier.core]"
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": "v.query_region(coord.ICRSCoordinates(ra=83.63308, dec=22.01450, unit=(u.deg, u.deg)), radius=2*u.arcmin)",
"language": "python",
"outputs": [
{
"html": "<table><tr><th>_RAB1950</th><th>_DEB1950</th></tr><tr><td>82.88290</td><td>21.99210</td></tr><tr><td>82.87650</td><td>21.98630</td></tr><tr><td>82.87650</td><td>21.98630</td></tr><tr><td>83.61523</td><td>21.98653</td></tr><tr><td>83.62547</td><td>21.98287</td></tr><tr><td>83.62556</td><td>21.98263</td></tr><tr><td>83.62549</td><td>21.98278</td></tr><tr><td>83.66388</td><td>22.00853</td></tr><tr><td>83.66109</td><td>22.03038</td></tr><tr><td>83.66097</td><td>22.03047</td></tr><tr><td>83.62537</td><td>21.98288</td></tr><tr><td>...</td><td>...</td></tr><tr><td>83.62920</td><td>22.01670</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.63321</td><td>22.01447</td></tr><tr><td>83.62710</td><td>22.00000</td></tr><tr><td>83.63320</td><td>22.01450</td></tr><tr><td>82.89334</td><td>21.97782</td></tr></table>",
"output_type": "pyout",
"prompt_number": 29,
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22.00769)\n (83.623, 22.0126) (83.623, 22.0126) (83.623, 22.0126) (83.625, 22.0135)\n (83.625, 22.0135) (83.63313, 22.0145) (83.6333, 22.0144)\n (83.63312, 22.01456) (83.633, 22.014) (83.64917, 22.01022)\n (83.63308, 22.0145) (83.63, 22.016) (83.62375, 22.0005)\n (83.61825, 22.005111) (83.649167, 22.010222) (83.616792, 22.034028)\n (83.645792, 22.035333) (82.88, 21.9881) (82.8792, 21.9853)\n (82.8792, 21.9853) (82.8808, 21.9817) (82.87, 21.978) (82.87, 21.978)\n (82.87, 21.978) (82.87, 21.978) (82.87, 21.978) (83.6217, 22.0107)\n (83.62454, 21.98333) (83.63137, 22.01464) (83.63208, 22.01342)\n (83.64254, 21.99375) (83.63, 22.01) (83.6275, 22.0372) (83.6142, 22.0408)\n (83.6267, 22.0308) (83.6304, 22.0125) (83.6645, 22.0005)\n (83.6142, 22.0408) (83.62708, 22.01667) (83.62708, 21.99722)\n (83.62708, 22.0) (83.63608, 22.00278) (83.63308, 22.00278)\n (83.63008, 22.00278) (83.63, 22.0383) (83.629, 22.017) (83.633, 22.014)\n (83.633, 22.014) (83.616, 21.999) (83.632, 22.02) (83.6292, 22.015)\n (83.63321, 22.01447) (83.63321, 22.01447) (83.63321, 22.01447)\n (83.63321, 22.01447) (83.6287, 22.0193) (83.632, 22.016)\n (83.6412, 22.0247) (83.63321, 22.01447) (83.61533, 22.03719)\n (83.61558, 22.03789) (83.61683, 22.03858) (83.65121, 21.99147)\n (83.65125, 21.9915) (83.63333, 22.01444) (83.63333, 22.01444)\n (83.63333, 22.01444) (83.63333, 22.01444) (83.63333, 22.01444)\n (83.6291, 22.0172) (83.63312, 22.01447) (83.632, 22.016) (83.635, 22.013)\n (83.63, 22.016) (82.87917, 21.98806) (82.875, 21.9733) (83.6385, 22.0147)\n (83.6208, 22.015) (83.6208, 22.015) (83.6208, 22.015) (83.63321, 22.01447)\n (83.6333, 22.0144) (83.6385, 22.0147) (83.63321, 22.01447)\n (82.8792, 21.9881) (83.64917, 22.01022) (83.63309, 22.01453)\n (83.63303, 22.01445) (83.63313, 22.01443) (83.633221, 22.014461)\n (83.63321, 22.01447) (83.6325, 22.019444) (83.6329, 22.0144)\n (83.6292, 22.0167) (83.6332, 22.0145) (83.6332, 22.0145)\n (83.6332, 22.0145) (83.63321, 22.01447) (83.63321, 22.01447)\n (83.63321, 22.01447) (83.63321, 22.01447) (83.6271, 22.0)\n (83.6332, 22.0145) (82.89334, 21.97782)],\n mask = [(False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, 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False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False) (False, False) (False, False) (False, False) (False, False)\n (False, False)],\n fill_value = (1e+20, 1e+20),\n dtype = [('_RAB1950', '<f8'), ('_DEB1950', '<f8')])"
}
],
"prompt_number": 29
},
{
"cell_type": "markdown",
"source": "If the columns on which to filter are not a subset of the output columns then throw exception"
},
{
"cell_type": "code",
"collapsed": false,
"input": "v.column_filters = {\"Vmag\": \"<6\"}",
"language": "python",
"outputs": [
{
"ename": "Exception",
"evalue": "Column-Filters not a subset of the output columns",
"output_type": "pyerr",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mException\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m/home/rk7/astroquery/<ipython-input-4-e6354cf7e29d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn_filters\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m\"Vmag\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"<6\"\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/home/rk7/astroquery/astroquery/vizier/core.py\u001b[0m in \u001b[0;36mcolumn_filters\u001b[0;34m(self, value_dict)\u001b[0m\n\u001b[1;32m 85\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue_dict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 86\u001b[0m \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"{val}: to be filtered but not set as an output column\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 87\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Column-Filters not a subset of the output columns\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 88\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_column_filters\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue_dict\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 89\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mException\u001b[0m: Column-Filters not a subset of the output columns"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": "WARNING: Vmag: to be filtered but not set as an output column [astroquery.vizier.core]\nERROR: Exception: Column-Filters not a subset of the output columns [astroquery.vizier.core]"
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": true,
"input": "",
"language": "python",
"outputs": []
}
]
}
]
}
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