how to Parse several .txt files in which have the many data files in netCDF format (.nc4 extension) using Python, and after that to configure a time filter and stitch the content of each file into a single Pandas data frame indexed by tl timestamp.
I tried but i am not finding any solution, because I am new to use coding and python.
I have downloaded satellite data from NASA Earth data platform, I have to work data which should be in netCDF format (.nc4 extension), but when I have downloaded these files these files are downloaded in .txt format (there is about 8 files) when I open these files with VS code it has several .nc4 extension files (which is also my required data). now I have to Parse the data in netCDF format (.nc4 extension) using Python, and to configure a time filter and stitch the content of each file into a single Pandas data frame indexed by tl timestamp. But I am not getting what to do, neither I have found no documents regarding my problem from Google. I am also new to use Python programming and Data Analysis by using coding.