I've dataframe which contains latitude, longitude and altitude in single column ( coordinates
) and I want to split coordinates
column into three columns(latitude, longitude and altitude).
df:
ID Coordinates Region
1 latitude_degrees: 52.00755721100514\nlongitude_degrees: 12.565129548994266\naltitude_meters: 185.23616827199143\n Europe
2 latitude_degrees: 52.00755721100514\nlongitude_degrees: 12.565129548994266\naltitude_meters: 185.23616827199143\n Europe
3 latitude_degrees: 52.00755721100514\nlongitude_degrees: 12.565129548994266\naltitude_meters: 185.23616827199143\n Europe
4 latitude_degrees: 52.00755721100514\nlongitude_degrees: 12.565129548994266\naltitude_meters: 185.23616827199143\n Europe
5 latitude_degrees: 52.00755721100514\nlongitude_degrees: 12.565129548994266\naltitude_meters: 185.23616827199143\n Europe
Expected Output:
ID lat lon alt Region
1 52.00755721100514 12.565129548994266 185.23616827199143 Europe
2 52.00755721100514 12.565129548994266 185.23616827199143 Europe
3 52.00755721100514 12.565129548994266 185.23616827199143 Europe
4 52.00755721100514 12.565129548994266 185.23616827199143 Europe
5 52.00755721100514 12.565129548994266 185.23616827199143 Europe
What I tried:
I tried to first split columns on :
basis but it's not working:
df.loc[df['Coordinates'].isin(["latitude_degrees", "longitude_degrees"])]= ""
I also tried to replace the text but it's not working:
df.Coordinates.replace(to_replace=['latitude_degrees','longitude_degrees'],value='')
Let's use extractall
to extract lat
, long
and alt
from the Coordinates
column, then unstack
it to reshape, finally join
this with the columns ID
and Region
:
c = df['Coordinates'].str.extractall(r'([\d.]+)')[0].unstack()
d = df[['ID', 'Region']].join(c.set_axis(['lat', 'long', 'alt'], 1))
ID Region lat long alt
0 1 Europe 52.00755721100514 12.565129548994266 185.23616827199143
1 2 Europe 52.00755721100514 12.565129548994266 185.23616827199143
2 3 Europe 52.00755721100514 12.565129548994266 185.23616827199143
3 4 Europe 52.00755721100514 12.565129548994266 185.23616827199143
4 5 Europe 52.00755721100514 12.565129548994266 185.23616827199143
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