flopy.utils.recarray_utils module

create_empty_recarray(length, dtype, default_value=0)[source]

Create a empty recarray with a defined default value for floats.

Parameters:
  • length (int) – Shape of the empty recarray.
  • dtype (np.dtype) – dtype of the empty recarray.
  • default_value (float) – default value to use for floats in recarray.
Returns:

r – Recarray of type dtype with shape length.

Return type:

np.recarray

Examples

>>> import numpy as np
>>> import flopy
>>> dtype = np.dtype([('x', np.float32), ('y', np.float32)])
>>> ra = flopy.utils.create_empty_recarray(10, dtype)
ra_slice(ra, cols)[source]

Create a slice of a recarray

Parameters:
  • ra (np.recarray) – recarray to extract a limited number of columns from.
  • cols (list of str) – List of key names to extract from ra.
Returns:

ra_slice – Slice of ra

Return type:

np.recarray

Examples

>>> import flopy
>>> raslice = flopy.utils.ra_slice(ra, ['x', 'y'])
recarray(array, dtype)[source]

Convert a list of lists or tuples to a recarray.

Parameters:
  • array (list of lists) – list of lists containing data to convert to a recarray. The number of entries in each list in the list must be the same.
  • dtype (np.dtype) – dtype of the array data
Returns:

r – Recarray of type dtype with shape equal to the length of array.

Return type:

np.recarray

Examples

>>> import numpy as np
>>> import flopy
>>> dtype = np.dtype([('x', np.float32), ('y', np.float32)])
>>> arr = [(1., 2.), (10., 20.), (100., 200.)]
>>> ra = flopy.utils.recarray(arr, dtype)