Closed praful-dodda closed 1 year ago
Please see how I am reading the data and subset the data for the given lat-lon and time range ` import pandas as pd import PseudoNetCDF as pnc from datetime import datetime import pytz
cmaq_file_path = ""HR2DAY_LST_ACONC_EQUATES_v532_12US1_2019.nc" cmaq_data = pnc.pncopen(cmaq_file_path , format='ioapi')
sub_lon = [-125, -114] sub_lat = [32, 42]
sub_time = [datetime(2019, 10, 1, tzinfo = pytz.utc), datetime(2019, 12, 31, tzinfo = pytz.utc)] i, j = cmaq_data.ll2ij(sub_lon, sub_lat) k = i * 0 t = cmaq_data.time2t(sub_time)
sub_cmaq_data = cmaq_data.sliceDimensions(ROW = j, COL = i, LAY = k, TSTEP = t) `
Here cmaq_data and sub_cmaq_data have different dimension names. cmaq_data.dimensions.keys() sub_cmaq_data.dimensions.keys()
cmaq_data.dimensions.keys() sub_cmaq_data.dimensions.keys()
Please see how I am reading the data and subset the data for the given lat-lon and time range ` import pandas as pd import PseudoNetCDF as pnc from datetime import datetime import pytz
cmaq_file_path = ""HR2DAY_LST_ACONC_EQUATES_v532_12US1_2019.nc" cmaq_data = pnc.pncopen(cmaq_file_path , format='ioapi')
sub_lon = [-125, -114] sub_lat = [32, 42]
sub_time = [datetime(2019, 10, 1, tzinfo = pytz.utc), datetime(2019, 12, 31, tzinfo = pytz.utc)] i, j = cmaq_data.ll2ij(sub_lon, sub_lat) k = i * 0 t = cmaq_data.time2t(sub_time)
sub_cmaq_data = cmaq_data.sliceDimensions(ROW = j, COL = i, LAY = k, TSTEP = t) `
Here cmaq_data and sub_cmaq_data have different dimension names.
cmaq_data.dimensions.keys() sub_cmaq_data.dimensions.keys()