{"id":753,"date":"2011-07-28T05:07:16","date_gmt":"2011-07-28T05:07:16","guid":{"rendered":"http:\/\/notebooks.dataone.org\/workflows\/?p=126"},"modified":"2013-05-17T19:52:54","modified_gmt":"2013-05-17T19:52:54","slug":"yet-more-graphs","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/data-analysis\/yet-more-graphs\/","title":{"rendered":"Yet More Graphs"},"content":{"rendered":"

Today I spent the morning trying to get MySQLdb working so that I could fully integrate Python with my databases, so that I could also fully integrate R into a code that would enable me to do a lot of graphs easily. After a few hours, I gave up, due to a faulty installation somewhere along the line. I realised after this that it would be faster and more convenient for me to just hardcode what I wanted to have for R into Python, and use arguments to change the information I needed to.<\/p>\n

That worked well. I now have over 200 graphs (although I could have gotten many, many more if I felt the need) which relate to which tags, title-names, etc. are being used on myExperiment. Any column which had a list of things can now be mined pretty efficiently using regular expressions. It took me a bit of time to work out, but I think I learned some more coding and I enjoyed the experience, and I should be on track for Friday.<\/p>\n

I’ve uploaded the code to github – it can be found here<\/a>. Don’t worry, it’s fully commented.<\/p>\n

T-1 day until meeting my mentors and seeing what we can get out of this!<\/p>\n","protected":false},"excerpt":{"rendered":"

Today I spent the morning trying to get MySQLdb working so that I could fully integrate Python with my databases, so that I could also fully integrate R into a code that would enable me to do a lot of graphs easily. After a few hours, I gave up, due Continue reading Yet More Graphs<\/span>→<\/span><\/a><\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[109],"tags":[],"_links":{"self":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/753"}],"collection":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/comments?post=753"}],"version-history":[{"count":6,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/753\/revisions"}],"predecessor-version":[{"id":1106,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/posts\/753\/revisions\/1106"}],"wp:attachment":[{"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/media?parent=753"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/categories?post=753"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/notebooks.dataone.org\/wp-json\/wp\/v2\/tags?post=753"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}