python - Reading a sqlite3.Binary object with numpy.genfromtxt -

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I have a text file that contains a large string that was originally a binary blob in the SQL column. I would like to read the data using the numpy.genfromtxt and convert the text to the 1d NMP array and then using the converters parameter in a binary blob to import into SQL later: 

  np.genfromtxt (data, delimiter = '\ t', dtype = [("a", 'f8'), ("b", 'u100'), ("c" , 'F8')], converters = {1: Lambda X: SQLite 3. Binary (NP.frosting (X, DTP = 'F4', SP = ''))}
< P> and import file will be Something like this:

1.0 \ t1.0 2.0 3.0 \ t1.0

However this error message returns: 

  file "./ Import_sql .py ", line 25, & lt; Module & gt; Converters = {19: Lambda X: Esquite 3 Binary (file "/usr/lib/python3.4/site-packages/numpy/lib/npyio.py", line 1742, in Geneofomtext rows = NP.Ere (data, DTP = [for Dtype_flat _} [[ Value error: an array element can not be set with a sequence

I would like to return a array of genfromtxt where the first and third column float values ​​will be included and the second The column will have sqlite3. The data of the binary blob with 1D NMP array.

This does not work because I It is possible to read the data from mass StormText in a large string in the output and then before writing the data to the process database. Is it possible to include a sequel 3. Binary Object in a NMP array?

You can only type from the column type b to 'U100' to the object Switch, then it should work.


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