Numpy dType complex, with fixed array of variables, using function fromfile to import binary file

Question

Numpy dType complex, with fixed array of variables, using function fromfile to import binary file

Navigation

#1 by (0 votes)

0

I'm reading a complex binary file, where there is a fixed array of values, could anyone help?

The structure is:

   8 bytes     = Long    Current Time (unixtime stamp)
   8 bytes     = Long    Current Time (unixtime stamp in MiliSeconds)
   8 bytes     = Long    Server Time (unixtime stamp)
   8 bytes     = Long    Ticks from windows startup
   8 bytes     = Long    Microseconds from windows startup
   X[
      1 byte   = UChar (sensor on/off)
      8 bytes  = Double (sensor converted value)
      8 bytes  = Long (sensor raw value)
      ]

X is the array with 3 values, the size of X is fixed normally 32 or 16, but inside the file is always the same size, the example I will use is 32:

   dt = np.dtype([('a'         ,np.datetime64),
           ('b'      ,np.datetime64),
           ('c'           ,np.datetime64),
           ('d'        ,'u8'),
           ('e' ,'u8'),

           #aqui esta o meu problema, como faço este trecho se repetir 32 vezes?
           {'name':   ['f', 'g', 'h'] , 'formats':['u1','f8', 'u8']}
   ])

   print(dt,type(dt))
   print(dt.fields)
   print(np.fromfile("sensores.32.bin", dtype=dt))

Thank you!

python numpy

asked by anonymous 20.12.2017 / 16:49

1 answer

Two BD connections in a single file Warning: mysqli_num_rows () expects parameter 1 to be mysqli_result, [duplicate]

score 0 · Accepted Answer

Hi, if I understand the question I think there is a solution like this

def make_dict(uri):

    my_fields = [
        'X{}-campo1'.format(uri), 
        'X{}-campo2'.format(uri),
        'X{}-campo3'.format(uri)
    ]

    my_formats = ['u1','f8', 'u8']

    return dict(name=my_fields, formats=my_formats)

my_arg  = [('campo1', np.datetime64),
           ('campo2', np.datetime64),
           ('campo3', np.datetime64),
           ('campo4', 'u8'),
           ('campo5', 'u8')]

for i in range(32):
    my_arg.append(make_dict(i+1))

dt = np.dtype(my_arg)

print(dt,type(dt))
print(dt.fields)
print(np.fromfile("sensores.32.bin", dtype=dt))