Loading py/cso_pal.py +3 −4 Original line number Diff line number Diff line Loading @@ -238,9 +238,8 @@ class CSO_PAL_Inquire(utopya.UtopyaRc): platform_name, rest = bname.split("_", 1) processing = rest[0:4] product_type = rest[5:15] start_time, end_time, orbit, collection, processor_version, production_time = rest[ 16: ].split("_") (start_time,end_time,orbit,collection,\ processor_version,production_time) = rest[16:].split("_") # convert: tfmt = "%Y%m%dT%H%M%S" Loading @@ -262,7 +261,7 @@ class CSO_PAL_Inquire(utopya.UtopyaRc): "href": [href], } # add record: output_df = output_df.append(pandas.DataFrame(rec), ignore_index=True) output_df = pandas.concat([output_df, pandas.DataFrame(rec)], ignore_index=True) # endfor # entries Loading Loading
py/cso_pal.py +3 −4 Original line number Diff line number Diff line Loading @@ -238,9 +238,8 @@ class CSO_PAL_Inquire(utopya.UtopyaRc): platform_name, rest = bname.split("_", 1) processing = rest[0:4] product_type = rest[5:15] start_time, end_time, orbit, collection, processor_version, production_time = rest[ 16: ].split("_") (start_time,end_time,orbit,collection,\ processor_version,production_time) = rest[16:].split("_") # convert: tfmt = "%Y%m%dT%H%M%S" Loading @@ -262,7 +261,7 @@ class CSO_PAL_Inquire(utopya.UtopyaRc): "href": [href], } # add record: output_df = output_df.append(pandas.DataFrame(rec), ignore_index=True) output_df = pandas.concat([output_df, pandas.DataFrame(rec)], ignore_index=True) # endfor # entries Loading