Data types with data: data type not understood

Question

still pretty new to Numpy in Python ... I'm trying to create my own array from RINEX data (see example):

G13 2014 01 02 02 00 00  .440594740212D-04 -.375166564481D-11  .000000000000D+00
      .290000000000D+02  .705937500000D+02  .382980238378D-08 -.135945866650D+01
      .353716313839D-05  .509947887622D-02  .137723982334D-04  .515366394615D+04
      .352800000000D+06 -.819563865662D-07  .312956454846D+01 -.633299350739D-07
      .979542877504D+00  .129500000000D+03  .219020237787D+01 -.757495838456D-08
     -.431803700643D-09  .100000000000D+01  .177300000000D+04  .000000000000D+00
      .240000000000D+01  .000000000000D+00 -.111758708954D-07  .290000000000D+02
      .345618000000D+06  .400000000000D+01

I use the following code for an initialized matrix:

parameter_block_list = np.empty(cs.TOTAL_SATS, cs.RINEX_NAVIGATION_PARAMETERS) * np.NaN 

The problem is converting the numbers in the RINEX file, where each number uses "D" as an exponent. Is there a way in Numpy to do a data type conversion that is suitable for such data formats? The error I am getting is:

TypeError: data type not understood

Answer 1

, , data type not understood, , empty shape, dtype - - . . , shape :

parameter_block_list = np.empty((cs.TOTAL_SATS, cs.RINEX_NAVIGATION_PARAMETERS)) * np.NaN