Specifying different dtypes while reading large ASCII as numpy array with np.fromiter
How to construct an np.array with fromiter
Numpy create two arrays using fromiter simultaneously Why does numpy's fromiter function require specifying the dtype when other array creation routines don't? trouble setting column dtypes pandas python pandas.apply changing the dtypes How to create a numpy dtype from other dtypes? numpy fromiter with generator of list Convert numpy elements to numpy dtypes Odd behavior of numpy.all with object dtypes Creating a numpy matrix with dtypes Assign pandas dataframe column dtypes How to set dtypes by column in pandas DataFrame pandas unique values multiple columns different dtypes Python Pandas: dtypes not show column types for all columns Pandas Converting columns to different dtypes read an ascii file into a numpy array Reconcile np.fromiter and multidimensional arrays in Python Error using NumPy.fromiter() with MySQL query results query properties of numpy dtypes How do changed the dtypes of multiple columns? Read data into structured array with multiple dtypes Is there a way to generate the dtypes as a dictionary in pandas? a valid element not in np.arange, though print() does show it, dtypes are also same Parsing complex numpy dtypes (i.e. dtypes consisting of an array of tuples) into lists? Make a histogram of dtypes Error setting dtypes of an array Converting numpy dtypes to native python types Reading ASCII file in Python (numpy-array?) Specify correct dtypes to pandas.read_csv for datetimes and booleans Can't set appropriate dtypes reading from a Numpy array