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structure to a matrix
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Structure of 1x205 with 66 fields need to be converted to a matrix of m x 66 ( a simple table or array with cummulative data).
Data contains numerical values and date strings, date and time
When using for loops its taking 4 hours to convert. Please suggest an efficient method
5 Comments
the cyclist
on 27 Dec 2021
Can you upload the data? Use the paperclip icon from INSERT section of the toolbar.
Stephen23
on 27 Dec 2021
Edited: Stephen23
on 27 Dec 2021
I would start with https://www.mathworks.com/help/matlab/ref/struct2table.html
We can't do much until you upload the data by clicking the paperclip button.
Lakshmi Chodavarapu
on 27 Dec 2021
file is above 5MB...unable to upload
Lakshmi Chodavarapu
on 27 Dec 2021
a portion of the data is attached. thank you
Accepted Answer
Stephen23
on 27 Dec 2021
S = load('DD_hyde_iisc_0.3to6.3_15.mat')
S = struct with fields:
DD_SlantSmoothTEC: [1×71 struct]
T = struct2table(S.DD_SlantSmoothTEC)
T = 71×66 table
dtntm GPSTOW UT ref_PRN_st1 ref_PRN_st2 ref_PRN_EL_st1 ref_PRN_EL_st2 ref_PRN_AZ_st1 ref_PRN_AZ_st2 sub_PRN_st1 sub_PRN_st2 sub_PRN_EL_st1 sub_PRN_EL_st2 sub_PRN_AZ_st1 sub_PRN_AZ_st2 ref_IPPGeoLong_st1 ref_IPPGeoLat_st1 ref_IPPGeoLong_st2 ref_IPPGeoLat_st2 sub_IPPGeoLong_st1 sub_IPPGeoLat_st1 sub_IPPGeoLong_st2 sub_IPPGeoLat_st2 ref_absL1_st1 ref_absL1_st2 ref_SD_absL1 sub_absL1_st1 sub_absL1_st2 sub_SD_absL1 ref_absL1_range_st1 ref_absL1_range_st2 ref_SD_absL1_range sub_absL1_range_st1 sub_absL1_range_st2 sub_SD_absL1_range ref_absL2_st1 ref_absL2_st2 ref_SD_absL2 ref_absL2_range_st1 ref_absL2_range_st2 ref_SD_absL2_range sub_absL2_st1 sub_absL2_st2 sub_SD_absL2 sub_absL2_range_st1 sub_absL2_range_st2 sub_SD_absL2_range DD_absL1 DD_absL11 DD_absL1_range DD_absL11_range DD_absL22 DD_absL2_range DD_absL22_range ref_STEC_st1 ref_VTEC_st1 ref_STEC_st2 ref_VTEC_st2 sub_STEC_st1 sub_VTEC_st1 sub_STEC_st2 sub_VTEC_st2 DD_STEC DD_VTEC ref_PRN_IPPdist_Km sub_PRN_IPPdist_Km
________________ ______________ ________________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ __________________ _________________ __________________ _________________ __________________ _________________ __________________ _________________ ______________ ______________ ______________ ______________ ______________ ______________ ___________________ ___________________ __________________ ___________________ ___________________ __________________ ______________ ______________ ______________ ___________________ ___________________ __________________ ______________ ______________ ______________ ___________________ ___________________ __________________ ______________ ______________ ______________ _______________ ______________ ______________ _______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ __________________ __________________
{171×1 datetime} {171×1 double} {171×1 datetime} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double} {171×1 double}
{ 71×1 datetime} { 71×1 double} { 71×1 datetime} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double}
{244×1 datetime} {244×1 double} {244×1 datetime} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double}
{158×1 datetime} {158×1 double} {158×1 datetime} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double} {158×1 double}
{ 7×1 datetime} { 7×1 double} { 7×1 datetime} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double} { 7×1 double}
{182×1 datetime} {182×1 double} {182×1 datetime} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double} {182×1 double}
{244×1 datetime} {244×1 double} {244×1 datetime} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double}
{244×1 datetime} {244×1 double} {244×1 datetime} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double} {244×1 double}
{155×1 datetime} {155×1 double} {155×1 datetime} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double} {155×1 double}
{ 69×1 datetime} { 69×1 double} { 69×1 datetime} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double}
{ 69×1 datetime} { 69×1 double} { 69×1 datetime} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double}
{ 69×1 datetime} { 69×1 double} { 69×1 datetime} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double}
{ 69×1 datetime} { 69×1 double} { 69×1 datetime} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double}
{ 69×1 datetime} { 69×1 double} { 69×1 datetime} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double} { 69×1 double}
{ 71×1 datetime} { 71×1 double} { 71×1 datetime} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double} { 71×1 double}
{582×1 datetime} {582×1 double} {582×1 datetime} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double} {582×1 double}
4 Comments
Lakshmi Chodavarapu
on 27 Dec 2021
Edited: Lakshmi Chodavarapu
on 27 Dec 2021
but I need mx66 table with all cummulative data, pl
Stephen23
on 27 Dec 2021
Edited: Stephen23
on 27 Dec 2021
You can do this easily with one loop over the fieldnames, it should not take too long:
S = load('DD_hyde_iisc_0.3to6.3_15.mat')
S = struct with fields:
DD_SlantSmoothTEC: [1×71 struct]
D = S.DD_SlantSmoothTEC % your 1x71 data structure
D = 1×71 struct array with fields:
dtntm
GPSTOW
UT
ref_PRN_st1
ref_PRN_st2
ref_PRN_EL_st1
ref_PRN_EL_st2
ref_PRN_AZ_st1
ref_PRN_AZ_st2
sub_PRN_st1
sub_PRN_st2
sub_PRN_EL_st1
sub_PRN_EL_st2
sub_PRN_AZ_st1
sub_PRN_AZ_st2
ref_IPPGeoLong_st1
ref_IPPGeoLat_st1
ref_IPPGeoLong_st2
ref_IPPGeoLat_st2
sub_IPPGeoLong_st1
sub_IPPGeoLat_st1
sub_IPPGeoLong_st2
sub_IPPGeoLat_st2
ref_absL1_st1
ref_absL1_st2
ref_SD_absL1
sub_absL1_st1
sub_absL1_st2
sub_SD_absL1
ref_absL1_range_st1
ref_absL1_range_st2
ref_SD_absL1_range
sub_absL1_range_st1
sub_absL1_range_st2
sub_SD_absL1_range
ref_absL2_st1
ref_absL2_st2
ref_SD_absL2
ref_absL2_range_st1
ref_absL2_range_st2
ref_SD_absL2_range
sub_absL2_st1
sub_absL2_st2
sub_SD_absL2
sub_absL2_range_st1
sub_absL2_range_st2
sub_SD_absL2_range
DD_absL1
DD_absL11
DD_absL1_range
DD_absL11_range
DD_absL22
DD_absL2_range
DD_absL22_range
ref_STEC_st1
ref_VTEC_st1
ref_STEC_st2
ref_VTEC_st2
sub_STEC_st1
sub_VTEC_st1
sub_STEC_st2
sub_VTEC_st2
DD_STEC
DD_VTEC
ref_PRN_IPPdist_Km
sub_PRN_IPPdist_Km
T = table();
C = fieldnames(D);
for k = 1:numel(C) % loop over the fieldnames
F = C{k};
T.(F) = vertcat(D.(F));
end
display(T)
T = 12861×66 table
dtntm GPSTOW UT ref_PRN_st1 ref_PRN_st2 ref_PRN_EL_st1 ref_PRN_EL_st2 ref_PRN_AZ_st1 ref_PRN_AZ_st2 sub_PRN_st1 sub_PRN_st2 sub_PRN_EL_st1 sub_PRN_EL_st2 sub_PRN_AZ_st1 sub_PRN_AZ_st2 ref_IPPGeoLong_st1 ref_IPPGeoLat_st1 ref_IPPGeoLong_st2 ref_IPPGeoLat_st2 sub_IPPGeoLong_st1 sub_IPPGeoLat_st1 sub_IPPGeoLong_st2 sub_IPPGeoLat_st2 ref_absL1_st1 ref_absL1_st2 ref_SD_absL1 sub_absL1_st1 sub_absL1_st2 sub_SD_absL1 ref_absL1_range_st1 ref_absL1_range_st2 ref_SD_absL1_range sub_absL1_range_st1 sub_absL1_range_st2 sub_SD_absL1_range ref_absL2_st1 ref_absL2_st2 ref_SD_absL2 ref_absL2_range_st1 ref_absL2_range_st2 ref_SD_absL2_range sub_absL2_st1 sub_absL2_st2 sub_SD_absL2 sub_absL2_range_st1 sub_absL2_range_st2 sub_SD_absL2_range DD_absL1 DD_absL11 DD_absL1_range DD_absL11_range DD_absL22 DD_absL2_range DD_absL22_range ref_STEC_st1 ref_VTEC_st1 ref_STEC_st2 ref_VTEC_st2 sub_STEC_st1 sub_VTEC_st1 sub_STEC_st2 sub_VTEC_st2 DD_STEC DD_VTEC ref_PRN_IPPdist_Km sub_PRN_IPPdist_Km
___________________ __________ ________ ___________ ___________ ______________ ______________ ______________ ______________ ___________ ___________ ______________ ______________ ______________ ______________ __________________ _________________ __________________ _________________ __________________ _________________ __________________ _________________ _____________ _____________ ____________ _____________ _____________ ____________ ___________________ ___________________ __________________ ___________________ ___________________ __________________ _____________ _____________ ____________ ___________________ ___________________ __________________ _____________ _____________ ____________ ___________________ ___________________ __________________ __________ __________ ______________ _______________ __________ ______________ _______________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ ____________ _______ _______ __________________ __________________
01/15/2020 04:28:00 2.7528e+05 04:28:00 1 1 22.63 20.06 312.39 314.74 10 10 45.22 44.3 95.71 89.21 73.529 21.615 72.345 17.897 81.556 17.108 80.625 13.044 2.3483e+07 2.3724e+07 2.4115e+05 2.1602e+07 2.1662e+07 59774 4.4735e+06 4.5194e+06 45939 4.1152e+06 4.1266e+06 11387 2.3483e+07 2.3724e+07 2.4115e+05 5.7415e+06 5.8005e+06 58961 2.1602e+07 2.1662e+07 59773 5.2817e+06 5.2963e+06 14614 1.8138e+05 1.7294e+07 34552 34552 1.6124e+07 44347 58961 13.05 9.05 21.69 12.72 14.88 13.81 16.69 15.12 6.83 2.36 431.58 462.81
01/15/2020 04:28:30 2.7531e+05 04:28:30 1 1 22.78 20.21 312.22 314.59 10 10 45.13 44.24 96.04 89.56 73.546 21.578 72.366 17.854 81.563 17.09 80.631 13.026 2.347e+07 2.371e+07 2.398e+05 2.1608e+07 2.1665e+07 57776 4.4711e+06 4.5168e+06 45682 4.1163e+06 4.1273e+06 11006 2.347e+07 2.371e+07 2.398e+05 5.7385e+06 5.7971e+06 58632 2.1608e+07 2.1665e+07 57775 5.2831e+06 5.2972e+06 14126 1.8203e+05 1.7298e+07 34676 34676 1.6128e+07 44506 58632 13.04 9.07 21.68 12.75 14.92 13.83 16.81 15.19 6.75 2.32 432.11 462.84
01/15/2020 04:29:00 2.7534e+05 04:29:00 1 1 22.93 20.37 312.05 314.44 10 10 45.04 44.18 96.38 89.9 73.562 21.541 72.387 17.81 81.57 17.072 80.637 13.008 2.3458e+07 2.3696e+07 2.3845e+05 2.1613e+07 2.1669e+07 55776 4.4687e+06 4.5141e+06 45424 4.1173e+06 4.128e+06 10625 2.3458e+07 2.3696e+07 2.3845e+05 5.7354e+06 5.7937e+06 58301 2.1613e+07 2.1669e+07 55775 5.2844e+06 5.2981e+06 13637 1.8267e+05 1.7303e+07 34799 34799 1.6133e+07 44664 58301 13.02 9.08 21.68 12.79 15 13.87 16.88 15.23 6.78 2.35 432.72 462.86
01/15/2020 04:29:30 2.7537e+05 04:29:30 1 1 23.07 20.53 311.88 314.29 10 10 44.94 44.12 96.71 90.24 73.578 21.504 72.407 17.767 81.578 17.054 80.643 12.99 2.3445e+07 2.3682e+07 2.3708e+05 2.1619e+07 2.1673e+07 53775 4.4663e+06 4.5115e+06 45164 4.1184e+06 4.1286e+06 10244 2.3445e+07 2.3682e+07 2.3708e+05 5.7324e+06 5.7903e+06 57967 2.1619e+07 2.1673e+07 53774 5.2858e+06 5.299e+06 13148 1.8331e+05 1.7307e+07 34920 34920 1.6137e+07 44819 57967 13.05 9.12 21.72 12.85 15.07 13.9 16.98 15.29 6.76 2.34 433.25 462.91
01/15/2020 04:30:00 2.754e+05 04:30:00 1 1 23.22 20.68 311.71 314.14 10 10 44.85 44.06 97.05 90.59 73.594 21.467 72.427 17.725 81.585 17.036 80.649 12.972 2.3433e+07 2.3669e+07 2.3571e+05 2.1625e+07 2.1676e+07 51773 4.464e+06 4.5089e+06 44903 4.1195e+06 4.1294e+06 9862.9 2.3433e+07 2.3669e+07 2.3571e+05 5.7293e+06 5.787e+06 57632 2.1625e+07 2.1676e+07 51772 5.2872e+06 5.2999e+06 12658 1.8394e+05 1.7311e+07 35040 35040 1.6141e+07 44973 57632 12.99 9.11 21.73 12.89 15.13 13.94 17.1 15.37 6.77 2.35 433.67 462.94
01/15/2020 04:30:30 2.7543e+05 04:30:30 1 1 23.36 20.84 311.54 313.98 10 10 44.75 44 97.38 90.93 73.61 21.431 72.447 17.682 81.592 17.018 80.655 12.954 2.3421e+07 2.3655e+07 2.3433e+05 2.163e+07 2.168e+07 49770 4.4616e+06 4.5063e+06 44640 4.1206e+06 4.1301e+06 9481.2 2.3421e+07 2.3655e+07 2.3433e+05 5.7263e+06 5.7836e+06 57294 2.163e+07 2.168e+07 49769 5.2886e+06 5.3008e+06 12169 1.8456e+05 1.7316e+07 35158 35158 1.6145e+07 45125 57294 13 9.14 21.73 12.93 15.18 13.96 17.18 15.42 6.73 2.33 434.31 462.96
01/15/2020 04:31:00 2.7546e+05 04:31:00 1 1 23.5 20.99 311.37 313.83 10 10 44.66 43.93 97.71 91.27 73.625 21.395 72.466 17.64 81.599 17 80.661 12.936 2.3408e+07 2.3641e+07 2.3294e+05 2.1636e+07 2.1684e+07 47766 4.4593e+06 4.5037e+06 44375 4.1217e+06 4.1308e+06 9099.5 2.3408e+07 2.3641e+07 2.3294e+05 5.7234e+06 5.7803e+06 56954 2.1636e+07 2.1684e+07 47765 5.2901e+06 5.3018e+06 11679 1.8517e+05 1.732e+07 35276 35276 1.6149e+07 45276 56954 13.06 9.19 21.72 12.96 15.26 14 17.31 15.5 6.61 2.27 434.84 462.99
01/15/2020 04:31:30 2.7549e+05 04:31:30 1 1 23.65 21.14 311.19 313.67 10 10 44.56 43.87 98.04 91.61 73.64 21.359 72.485 17.599 81.606 16.982 80.667 12.918 2.3396e+07 2.3628e+07 2.3154e+05 2.1642e+07 2.1688e+07 45761 4.457e+06 4.5011e+06 44109 4.1228e+06 4.1316e+06 8717.4 2.3396e+07 2.3628e+07 2.3154e+05 5.7204e+06 5.777e+06 56613 2.1642e+07 2.1688e+07 45759 5.2915e+06 5.3027e+06 11188 1.8578e+05 1.7325e+07 35391 35391 1.6154e+07 45424 56613 13.06 9.21 21.74 13.01 15.34 14.04 17.42 15.57 6.6 2.27 435.26 463.01
01/15/2020 04:32:00 2.7552e+05 04:32:00 1 1 23.79 21.3 311.01 313.51 10 10 44.46 43.8 98.37 91.95 73.655 21.324 72.504 17.558 81.613 16.963 80.673 12.9 2.3384e+07 2.3614e+07 2.3014e+05 2.1648e+07 2.1692e+07 43755 4.4547e+06 4.4986e+06 43841 4.124e+06 4.1323e+06 8335.3 2.3384e+07 2.3614e+07 2.3014e+05 5.7175e+06 5.7737e+06 56269 2.1648e+07 2.1692e+07 43753 5.293e+06 5.3037e+06 10698 1.8638e+05 1.733e+07 35506 35506 1.6158e+07 45571 56269 13.12 9.26 21.78 13.06 15.42 14.09 17.48 15.6 6.6 2.29 435.8 462.93
01/15/2020 04:32:30 2.7555e+05 04:32:30 1 1 23.93 21.45 310.84 313.35 10 10 44.36 43.73 98.69 92.29 73.669 21.289 72.523 17.517 81.62 16.945 80.679 12.882 2.3372e+07 2.3601e+07 2.2872e+05 2.1654e+07 2.1696e+07 41747 4.4524e+06 4.496e+06 43572 4.1252e+06 4.1331e+06 7952.9 2.3372e+07 2.3601e+07 2.2872e+05 5.7145e+06 5.7705e+06 55923 2.1654e+07 2.1696e+07 41746 5.2945e+06 5.3047e+06 10207 1.8697e+05 1.7334e+07 35619 35619 1.6163e+07 45716 55923 13.13 9.29 21.74 13.09 15.5 14.13 17.58 15.66 6.53 2.27 436.3 462.96
01/15/2020 04:33:00 2.7558e+05 04:33:00 1 1 24.07 21.6 310.66 313.19 10 10 44.26 43.66 99.02 92.62 73.683 21.254 72.541 17.477 81.627 16.927 80.685 12.863 2.3361e+07 2.3588e+07 2.273e+05 2.1661e+07 2.17e+07 39740 4.4502e+06 4.4935e+06 43301 4.1263e+06 4.1339e+06 7570.4 2.3361e+07 2.3588e+07 2.273e+05 5.7116e+06 5.7672e+06 55575 2.1661e+07 2.17e+07 39738 5.296e+06 5.3057e+06 9716 1.8756e+05 1.7339e+07 35730 35730 1.6167e+07 45859 55575 13.18 9.33 21.78 13.14 15.57 14.17 17.65 15.7 6.52 2.28 436.73 463.09
01/15/2020 04:33:30 2.7561e+05 04:33:30 1 1 24.21 21.75 310.48 313.03 10 10 44.16 43.6 99.35 92.96 73.697 21.219 72.559 17.437 81.634 16.908 80.691 12.845 2.3349e+07 2.3575e+07 2.2587e+05 2.1667e+07 2.1705e+07 37731 4.4479e+06 4.491e+06 43028 4.1275e+06 4.1347e+06 7187.8 2.3349e+07 2.3575e+07 2.2587e+05 5.7088e+06 5.764e+06 55225 2.1667e+07 2.1705e+07 37730 5.2975e+06 5.3068e+06 9224.9 1.8814e+05 1.7344e+07 35840 35840 1.6172e+07 46000 55225 13.21 9.37 21.78 13.18 15.65 14.21 17.72 15.73 6.5 2.29 437.15 463.01
01/15/2020 04:34:00 2.7564e+05 04:34:00 1 1 24.35 21.91 310.3 312.87 10 10 44.06 43.53 99.67 93.3 73.711 21.185 72.577 17.397 81.642 16.89 80.697 12.827 2.3337e+07 2.3561e+07 2.2443e+05 2.1673e+07 2.1709e+07 35721 4.4457e+06 4.4885e+06 42754 4.1287e+06 4.1355e+06 6804.9 2.3337e+07 2.3561e+07 2.2443e+05 5.7059e+06 5.7608e+06 54874 2.1673e+07 2.1709e+07 35720 5.2991e+06 5.3078e+06 8733.6 1.8871e+05 1.7349e+07 35949 35949 1.6177e+07 46140 54874 13.19 9.38 21.8 13.23 15.74 14.26 17.79 15.77 6.56 2.34 437.69 463.06
01/15/2020 04:34:30 2.7567e+05 04:34:30 1 1 24.49 22.06 310.12 312.71 10 10 43.96 43.45 99.99 93.63 73.725 21.151 72.594 17.357 81.649 16.871 80.703 12.808 2.3325e+07 2.3548e+07 2.2298e+05 2.168e+07 2.1713e+07 33712 4.4435e+06 4.486e+06 42478 4.1299e+06 4.1364e+06 6422.2 2.3325e+07 2.3548e+07 2.2299e+05 5.7031e+06 5.7576e+06 54520 2.168e+07 2.1713e+07 33711 5.3006e+06 5.3089e+06 8242.4 1.8927e+05 1.7354e+07 36056 36056 1.6181e+07 46277 54520 13.23 9.42 21.81 13.27 15.82 14.3 17.86 15.81 6.54 2.34 438.25 463.08
01/15/2020 04:35:00 2.757e+05 04:35:00 1 1 24.63 22.21 309.93 312.54 10 10 43.86 43.38 100.31 93.97 73.738 21.117 72.611 17.318 81.656 16.853 80.709 12.79 2.3314e+07 2.3535e+07 2.2153e+05 2.1686e+07 2.1718e+07 31702 4.4413e+06 4.4835e+06 42201 4.1312e+06 4.1372e+06 6039.3 2.3314e+07 2.3535e+07 2.2153e+05 5.7003e+06 5.7544e+06 54164 2.1686e+07 2.1718e+07 31701 5.3022e+06 5.31e+06 7750.9 1.8983e+05 1.7359e+07 36162 36162 1.6186e+07 46413 54164 13.26 9.46 21.79 13.29 15.87 14.32 17.92 15.84 6.48 2.31 438.68 463.11
01/15/2020 04:35:30 2.7573e+05 04:35:30 1 1 24.77 22.36 309.75 312.38 10 10 43.75 43.31 100.63 94.3 73.751 21.084 72.628 17.28 81.663 16.834 80.715 12.772 2.3302e+07 2.3523e+07 2.2006e+05 2.1693e+07 2.1722e+07 29691 4.4391e+06 4.481e+06 41922 4.1324e+06 4.1381e+06 5656.2 2.3302e+07 2.3523e+07 2.2007e+05 5.6975e+06 5.7513e+06 53806 2.1693e+07 2.1722e+07 29690 5.3038e+06 5.3111e+06 7259.2 1.9037e+05 1.7364e+07 36266 36266 1.6191e+07 46547 53806 13.33 9.52 21.84 13.36 15.97 14.37 17.98 15.87 6.5 2.34 439.11 463.02
Lakshmi Chodavarapu
on 28 Dec 2021
This is exactly what I required. Grateful to you.
Lakshmi Chodavarapu
on 28 Dec 2021
With thi code, I could convert 143 big structures to 143 tables in 20 min. Stephen you saved my time. Thanks again.
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