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Since from earlier questions you're at least a little familiar with <a href="http://pandas.pydata.org" rel="nofollow">pandas</a>, how about: <pre><code>import pandas as pd df1 = pd.read_csv("file1.csv", sep=r"\s+") df2 = pd.read_csv("file2.csv", sep=r"\s+") merged = df1.merge(df2.rename_axis({"Mon-id": "NAME"})) merged.to_csv("merged.csv", index=False) </code></pre> <hr> Some explanation (note that I've modified <code>file2.csv</code> so that there are more elements in common) follows. First, read the data: <pre><code>>>> import pandas as pd >>> df1 = pd.read_csv("file1.csv", sep=r"\s+") >>> df2 = pd.read_csv("file2.csv", sep=r"\s+") >>> df1.head() NAME RA DEC Mean_I1 Mean_I2 0 Mon-000101 100.27242 9.608597 11.082 10.034 1 Mon-000102 100.18012 9.520860 12.296 12.223 2 Mon-000103 100.24811 9.586362 9.429 9.010 3 Mon-000104 100.26741 9.867225 11.811 11.797 4 Mon-000105 100.21005 9.814060 12.087 12.090 >>> df2.head() Mon-id 0 Mon-000101 1 Mon-000121 2 Mon-000131 3 Mon-000141 4 Mon-000151 </code></pre> Then, we can rename the axis in df2: <pre><code>>>> df2.rename_axis({"Mon-id": "NAME"}).head() NAME 0 Mon-000101 1 Mon-000121 2 Mon-000131 3 Mon-000141 4 Mon-000151 </code></pre> and after that, <code>merge</code> will simply do the right thing: <pre><code>>>> merged = df1.merge(df2.rename_axis({"Mon-id": "NAME"})) >>> merged NAME RA DEC Mean_I1 Mean_I2 0 Mon-000101 100.27242 9.608597 11.082 10.034 1 Mon-000121 100.45421 9.685027 11.805 11.777 2 Mon-000131 100.20533 9.397307 -100.000 11.764 3 Mon-000141 100.26134 9.388555 -100.000 12.571 </code></pre> Finally, we can write this out, telling it not to add an index column: <pre><code>>>> merged.to_csv("output.csv", index=False) </code></pre> producing a file which looks like <pre><code>NAME,RA,DEC,Mean_I1,Mean_I2 Mon-000101,100.27242,9.608597,11.082,10.034 Mon-000121,100.45421,9.685027,11.805,11.777 Mon-000131,100.20533,9.397307,-100.0,11.764 Mon-000141,100.26134,9.388555,-100.0,12.571 </code></pre>
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1. COTHANKS! That did exactly what I needed...and using pandas...bonus. Thanks again.
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