arrays

File Purpose: tools for arrays (more generic than xarrays)

Functions

finite_max(arr, *[, if_empty])	returns max of all the finite values of arr.
finite_mean(arr, *[, if_empty])	returns mean of all the finite values of arr.
finite_median(arr, *[, if_empty])	returns median of all the finite values of arr.
finite_min(arr, *[, if_empty])	returns min of all the finite values of arr.
finite_op(arr, op, *[, if_empty])	returns op(arr), hitting only the finite values of arr.
finite_percentile(arr, percentile, *[, if_empty])	returns percentile of all the finite values of arr.
finite_std(arr, *[, if_empty])	returns std of all the finite values of arr.
indices_to_slice(indices, *[, default])	returns a slice object equivalent to the given indices, if possible.
interprets_fractional_indexing(indexer[, L, ...])	interprets any fractional values, i.e. non-integers between -1 and 1.
looks_flat(x)	returns whether x looks flat, i.e. looks like an iterable with no internal layers.
memory_size_check(array, *[, MBmax, ...])	raise MemorySizeError if array is too large.
memory_size_check_loading_arrays_like(array1)	raise MemorySizeError if loading nload arrays like array1 will be too large.
ndenumerate_nonNone(arr[, none])	np.ndenumerate(arr) but skip wherever value is none (compared via 'is', not '==').
ndindex_array(shape)	returns an array of indexes, where each element is its own np.ndindex.
nest_shape(nested_list[, is_element])	returns the implied shape for a numpy object array constructed from nested_list.
np_dtype_object_to_str(array)	convert a numpy array of dtype==object into array of str(x) for all x in array.
unique_close(arr, *[, rtol, atol])	returns unique values of arr, within relative tolerance rtol and absolute tolerance atol.
wraplist(x[, wraprow, wrapcol, fill, dtype])	wrap 1D list into a 2D array.