python - Define dtypes in NumPy using a list? -


I have a problem with NumPy dtypes. Basically I'm trying to create a table that looks like the following (and Then save it using rec2csv): 

  name1 name2 name3. . Name1 # # # name2 # # # Name 2 # # # .

The matrix (numerical array at the center), the first name tag is calculated before attempting to add. I have tried to use the following code: 

  dt = dtype ({'names': tuple (blah), 'format': tuple (fmt)}) ReadArray = array (tuplelist , Dtype = dt)

where tuplelist is a list of rows (i.e. the line [name1, #, #, # ...]), blah is a list of strings (i.e. name , blah = ['name1', 'name2', ...] ) and the list of fmt format, s (i.e. fmt = [str, float, float, ...] ).

The error I am getting is the following: 

  Traceback (the most recent call final): The file "lt; stdin & gt;", line 1, & Lt; In module & gt; The file "table_calc_try2.py", in line 152, in table_calc_try2 dt = dtype ({'names': tuple (blah), 'format': tuple (fmt)}) type type: data type not understood

Can anyone help?

Thanks

The following code can help Np dt = np.dtype ( Tuplelist = [('N1', 1.2), ('N2', 3.4),] arr = [('name1', '| S10'), ('name2', '' S8 ''] Print (arr ['Name2']) # [1.2 3.4]

Your immediate problem was that np.dtype considers format specifiers as narrow type, such as 'S10' or ' and not Python type, such as str or float . If you type help (np.dtype) , you will see several examples of how np.dtypes can be specified. (I've only mentioned something.)

Note that np.array is expected to have a list of tuples. Instead it is special about

raises a list of lists TypeError: a readable buffer object .

A (Tuples of Tuples) or one (Tuval of lists) raises Value error: One sequence . Setting an array element with


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