PythonsOnSHIPs - Revision history

Ali at 20:49, 26 April 2014

2014-04-26T20:49:57Z

Ali at 16:31, 15 May 2013

2013-05-15T16:31:43Z

Ali at 16:30, 15 May 2013

2013-05-15T16:30:36Z

Ali at 16:30, 15 May 2013

2013-05-15T16:30:04Z

Ali at 16:26, 15 May 2013

2013-05-15T16:26:41Z

Ali: Created page with "The Python programming environment is a relatively easy to use tool that has gained considerable acceptance and use in astronomical data processing. We will use Python on an ..."

2013-05-15T16:26:31Z

Created page with "The Python programming environment is a relatively easy to use tool that has gained considerable acceptance and use in astronomical data processing. We will use Python on an ..."

New page

The Python programming environment is a relatively easy to use tool that has gained considerable acceptance and use in astronomical data processing. We will use Python on an experimental basis to cover some basic work for SHIPs work.

===Python distribution to use===
Based on our requirements of Windows+MacOS+Linux, the choice is Anaconda python.
* [[http://continuum.io/downloads.html | http://continuum.io/downloads.html]]

@@ Line 7: / Line 7: @@
 ===Using Python===
-Some, but not all, operations for which we will use Python for:
+Some examples for which we can use Python for NITARP:
-* Read an APT output table file into memory.
+* Convert an APT photometry table file into a ds9 region file.
 * Merge photometry tables.
 * Create 2-dimensional plots of various types: scatter plots, line plots, histograms.  These plots may have multiple data sets on them.
 * Save plots to a JPG, PNG or similar graphic format file.

@@ Line 8: / Line 8: @@
 ===Using Python===
 Some, but not all, operations for which we will use Python for:
-* Read an APT output table file.
+* Read an APT output table file into memory.
-* Write a DS9 region file.
+* Write a DS9 region file using a table of either (x,y) or (ra,dec) positions and ID.
 * Read SHIPs ASCII format data table.
 * Write SHIPs ASCII format data table.
-* Merge photometry tables.  This may be complicated for simple.  We will need to decide.
+* Merge photometry tables.
 * Create 2-dimensional plots of various types: scatter plots, line plots, histograms.  These plots may have multiple data sets on them.
 * Save plots to a JPG, PNG or similar graphic format file.

@@ Line 12: / Line 12: @@
 * Read SHIPs ASCII format data table.
 * Write SHIPs ASCII format data table.
-* Merge photometry tables.
+* Merge photometry tables.  This may be complicated for simple.  We will need to decide.
 * Create 2-dimensional plots of various types: scatter plots, line plots, histograms.  These plots may have multiple data sets on them.
 * Save plots to a JPG, PNG or similar graphic format file.

← Older revision		Revision as of 16:30, 15 May 2013
Line 4:		Line 4:
	Based on our requirements of Windows+MacOS+Linux, the choice is Anaconda python.		Based on our requirements of Windows+MacOS+Linux, the choice is Anaconda python.
	* [http://continuum.io/downloads.html http://continuum.io/downloads.html]		* [http://continuum.io/downloads.html http://continuum.io/downloads.html]
		+
		+
		+	===Using Python===
		+	Some, but not all, operations for which we will use Python for:
		+	* Read an APT output table file.
		+	* Write a DS9 region file.
		+	* Read SHIPs ASCII format data table.
		+	* Write SHIPs ASCII format data table.
		+	* Merge photometry tables.
		+	* Create 2-dimensional plots of various types: scatter plots, line plots, histograms. These plots may have multiple data sets on them.
		+	* Save plots to a JPG, PNG or similar graphic format file.

@@ Line 3: / Line 3: @@
 ===Python distribution to use===
 Based on our requirements of Windows+MacOS+Linux, the choice is Anaconda python.
-* [[http://continuum.io/downloads.html | http://continuum.io/downloads.html]]
+* [http://continuum.io/downloads.html  http://continuum.io/downloads.html]