0 投票

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

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the cyclist
the cyclist 2021 年 12 月 27 日
Can you upload the data? Use the paperclip icon from INSERT section of the toolbar.
Stephen23
Stephen23 2021 年 12 月 27 日
編集済み: Stephen23 2021 年 12 月 27 日
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
Lakshmi Chodavarapu 2021 年 12 月 27 日
file is above 5MB...unable to upload
Matt J
Matt J 2021 年 12 月 27 日
編集済み: Matt J 2021 年 12 月 27 日
Upload a subset of the data, then. e.g., the first 10 of the 205 elements.
Lakshmi Chodavarapu
Lakshmi Chodavarapu 2021 年 12 月 27 日
a portion of the data is attached. thank you

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Stephen23
Stephen23 2021 年 12 月 27 日
Ran in:

1 投票

Ran in:
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}

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Lakshmi Chodavarapu
Lakshmi Chodavarapu 2021 年 12 月 27 日
編集済み: Lakshmi Chodavarapu 2021 年 12 月 27 日
but I need mx66 table with all cummulative data, pl
Stephen23
Stephen23 2021 年 12 月 27 日
編集済み: Stephen23 2021 年 12 月 27 日
Ran in:
Ran in:
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
Lakshmi Chodavarapu 2021 年 12 月 28 日
This is exactly what I required. Grateful to you.
Lakshmi Chodavarapu
Lakshmi Chodavarapu 2021 年 12 月 28 日
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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