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I have two flat lists of geographical coordinates (lat, long), and I need to combine them into a 2D array or matrix.
They are now stored in a dataframe:
lat lon
0 48.010258 -6.156909
1 48.021648 -6.105887
2 48.033028 -6.054801
3 48.044384 -6.003691
4 48.055706 -5.952602
5 48.067017 -5.901447
6 48.078304 -5.850270
7 48.089558 -5.799114
8 48.100800 -5.747891
How can I combine these two lists into a 2D array so that the lat-lon correspondence is preserved? These are the plain data:
lat=[48.01,48.02,48.03,48.04,48.05,48.06,48.07,48.08,48.10]
lon=[-6.15,-6.10,-6.05,-6.00,-5.95,-5.90,-5.85,-5.79,-5.74]
EDIT
These excerpted data represent a (lat, long) or (y, x) geographical map. Combined, they reproduce the below image. You clearly see the presence of The intended outcome will have to be deprived of an outer frame of data of a certain width. So it's like cutting out an outer frame of a picture, the width of which is 30 data points.
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Concatenate Two Lists in Python In almost all simple situations, using list1 + list2 is the way you want to concatenate lists. The edge cases below are better in some situations, but + is generally the best choice. All options covered work in Python 2.3, Python 2.7, and all versions of Python 31.
Suppose that two numbers are given: the number of rows of n and the number of columns m . You must create a list of size n × m , filled with, say, zeros. This can be easily seen if you set the value of a[0][0] to 5 , and then print the value of a[1][0] — it will also be equal to 5.
list(zip(lat, long))
gives
[(48.01, -6.15), (48.02, -6.1), (48.03, -6.05), (48.04, -6.0),
(48.05, -5.95), (48.06, -5.9), (48.07, -5.85), (48.08, -5.79), (48.1, -5.74)]
More on zip here
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