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"cell_type" : " markdown" ,
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"metadata" : {},
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"source" : [
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- " ### Opening a dataset with `open_datatree()`\n " ,
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+ " ## Opening a dataset with `open_datatree()`\n " ,
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" \n " ,
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" Let's open up a precipitation dataset. This dataset was derived from \" GPM_3IMERGHH_07\" and \" M2T1NXFLX_5.12.4\" products."
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]
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"cell_type" : " markdown" ,
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"metadata" : {},
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"source" : [
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- " ### Nodes\n " ,
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+ " ## Nodes\n " ,
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" Groups in a netcdf4 or hdf5 file in the DataTree model are represented as \" nodes\" in the DataTree model.\n " ,
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" We can list all of the groups with `.groups`"
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]
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"cell_type" : " markdown" ,
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"metadata" : {},
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"source" : [
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- " ### Accessing variables in a nested groups\n " ,
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+ " ## Accessing variables in a nested groups\n " ,
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" Nested variables and groups can be accessed with either dict-like syntax or method based syntax."
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]
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},
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"cell_type" : " markdown" ,
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"metadata" : {},
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"source" : [
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- " ### Get the parent and child nodes from a group"
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+ " ## Get the parent and child nodes from a group"
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]
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},
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{
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}
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],
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"metadata" : {
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+ "kernelspec" : {
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+ "display_name" : " Python 3 (ipykernel)" ,
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+ "language" : " python" ,
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+ "name" : " python3"
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+ },
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"language_info" : {
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"codemirror_mode" : {
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"name" : " ipython" ,
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"mimetype" : " text/x-python" ,
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"name" : " python" ,
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"nbconvert_exporter" : " python" ,
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- "pygments_lexer" : " ipython3"
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+ "pygments_lexer" : " ipython3" ,
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+ "version" : " 3.12.9"
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}
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},
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"nbformat" : 4 ,
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- "nbformat_minor" : 2
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+ "nbformat_minor" : 4
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}
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