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Python->convert shapefile lat-long value from Degree minutes seconds to Degree decimal
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I am processing shapefiles in python using standard library functions like python “shapefile” library and geo pandas.
I have two shapefiles having the same projected co-ordinate system-> WGS_1984_UTM_Zone_44N
But the first shapefile has lat-long values in “Degree decimal” format and the second shapefile has lat-long values in “Degree minutes seconds” format
In order to proceed with further processing (merging the information from the two shapefiles) I need both shapefiles to be of the same format(either Degree decimal or degree minutes seconds format)
SHAPEFILE 1(LAT-LONG VALUES):
bbox =[300827.06, 2347377.51977153, 302414.939109026, 2348912.5], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 45)
bbox =[301663.127583958, 2345705.27205747, 303118.13, 2348567.5722892], parts =[0, 755], shapeTypeName =POLYGON
('number of points in shape ', 760)
SHAPEFILE 2(LAT-LONG VALUES):
bbox =[78.97802486855807, 21.102058250837672, 78.98699067762817, 21.107654743123476], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 28)
bbox =[79.1842653948201, 21.090100785102777, 79.18754905100815, 21.092718192209304], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 10)
Is there some function that can be applied on the shapefile for this conversion?
shapefile polygon
New contributor
add a comment |
I am processing shapefiles in python using standard library functions like python “shapefile” library and geo pandas.
I have two shapefiles having the same projected co-ordinate system-> WGS_1984_UTM_Zone_44N
But the first shapefile has lat-long values in “Degree decimal” format and the second shapefile has lat-long values in “Degree minutes seconds” format
In order to proceed with further processing (merging the information from the two shapefiles) I need both shapefiles to be of the same format(either Degree decimal or degree minutes seconds format)
SHAPEFILE 1(LAT-LONG VALUES):
bbox =[300827.06, 2347377.51977153, 302414.939109026, 2348912.5], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 45)
bbox =[301663.127583958, 2345705.27205747, 303118.13, 2348567.5722892], parts =[0, 755], shapeTypeName =POLYGON
('number of points in shape ', 760)
SHAPEFILE 2(LAT-LONG VALUES):
bbox =[78.97802486855807, 21.102058250837672, 78.98699067762817, 21.107654743123476], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 28)
bbox =[79.1842653948201, 21.090100785102777, 79.18754905100815, 21.092718192209304], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 10)
Is there some function that can be applied on the shapefile for this conversion?
shapefile polygon
New contributor
add a comment |
I am processing shapefiles in python using standard library functions like python “shapefile” library and geo pandas.
I have two shapefiles having the same projected co-ordinate system-> WGS_1984_UTM_Zone_44N
But the first shapefile has lat-long values in “Degree decimal” format and the second shapefile has lat-long values in “Degree minutes seconds” format
In order to proceed with further processing (merging the information from the two shapefiles) I need both shapefiles to be of the same format(either Degree decimal or degree minutes seconds format)
SHAPEFILE 1(LAT-LONG VALUES):
bbox =[300827.06, 2347377.51977153, 302414.939109026, 2348912.5], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 45)
bbox =[301663.127583958, 2345705.27205747, 303118.13, 2348567.5722892], parts =[0, 755], shapeTypeName =POLYGON
('number of points in shape ', 760)
SHAPEFILE 2(LAT-LONG VALUES):
bbox =[78.97802486855807, 21.102058250837672, 78.98699067762817, 21.107654743123476], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 28)
bbox =[79.1842653948201, 21.090100785102777, 79.18754905100815, 21.092718192209304], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 10)
Is there some function that can be applied on the shapefile for this conversion?
shapefile polygon
New contributor
I am processing shapefiles in python using standard library functions like python “shapefile” library and geo pandas.
I have two shapefiles having the same projected co-ordinate system-> WGS_1984_UTM_Zone_44N
But the first shapefile has lat-long values in “Degree decimal” format and the second shapefile has lat-long values in “Degree minutes seconds” format
In order to proceed with further processing (merging the information from the two shapefiles) I need both shapefiles to be of the same format(either Degree decimal or degree minutes seconds format)
SHAPEFILE 1(LAT-LONG VALUES):
bbox =[300827.06, 2347377.51977153, 302414.939109026, 2348912.5], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 45)
bbox =[301663.127583958, 2345705.27205747, 303118.13, 2348567.5722892], parts =[0, 755], shapeTypeName =POLYGON
('number of points in shape ', 760)
SHAPEFILE 2(LAT-LONG VALUES):
bbox =[78.97802486855807, 21.102058250837672, 78.98699067762817, 21.107654743123476], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 28)
bbox =[79.1842653948201, 21.090100785102777, 79.18754905100815, 21.092718192209304], parts =[0], shapeTypeName =POLYGON
('number of points in shape ', 10)
Is there some function that can be applied on the shapefile for this conversion?
shapefile polygon
shapefile polygon
New contributor
New contributor
New contributor
asked 16 mins ago
Manaswini MuralidaranManaswini Muralidaran
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