![]() ![]() Note occasionally a placeholder zero (or two zeros) is used, or the coordinates are +100 deg E or W, in that case:DDDMMSS.XXH is used OUTPUT must be DDMMSS.XXH and depending on LAT/LONG be N/S or E/WĭDMMSS.XXH H is a letter, and is always either N,or SĭDMMSS.XXH H is a letter, and is always either E, or W. This process should actually be much easier than going from DMS to DD, and the values that are #.XXXXXX format (100 or over)or #.XXXXXX (under 10) I think can be managed by the same format. If the value is Negative then it is either S or W as applicable for the column My Decimal Degrees are in #.XXXXXX format. Take decimal degrees and output degrees, minutes, seconds (dot) numbered fraction as shown above. I also need to be able to take decimal degrees and reverse the process… I need to take data that is geo coordinates latitude and longitude from Degrees, minutes, seconds(dot) numbered fraction (.75 not ¾) and translate it to Decimal degrees. The functionality I need is paste my data into Collum A and B and get out puts in C and D LAT LONG -> LAT LONG I am prohibited from simply sending the actual coordinates, but I can use made up random ones all day long. Will probably use it as a reference but some of the terminology/syntax is different from Python.I need a tool that works in MS excel to handle a very large amounts of data. I came across this ESRI article, but it's in VB. But the problem I'm having is how to ignore (for lack of a better word) the 'N' and 'W' in the data? Can I skip them? And DMS are listed all together without any symbols or spaces.Ĭan I use len(), range(), split() to specify what part to read from the value? For example, can do the following? ![]() I have done this problem before where I created a script which converted DMS to DD, and vice-versa, so I guess I could use bits from that. For example, in the data, they are listed as N335042.06 in the Latitude column, and W86031.04 in the Longitude column. I need to convert lat/long that is expressed as degrees, minutes, and seconds in the data into decimal degrees. ![]()
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