np.savez() do in NumPy?np.savez() saves multiple NumPy arrays into a single file with a .npz extension. It helps keep related arrays together for easy loading later.
np.savez()?You pass arrays as keyword arguments like np.savez('file.npz', arr1=array1, arr2=array2). This saves arrays with the names arr1 and arr2 inside the file.
np.savez()?Use np.load('file.npz') to open the file. It returns a dictionary-like object where you can access arrays by their saved names, e.g., data['arr1'].
np.savez() and np.savez_compressed()?np.savez() saves arrays without compression, which is faster. np.savez_compressed() compresses the data to save disk space but takes more time to save and load.
np.savez()? What happens?Yes, you can pass arrays as positional arguments like np.savez('file.npz', array1, array2). They get saved with default names like arr_0, arr_1, etc.
np.savez() create?np.savez() creates an archive file with the .npz extension to store multiple arrays.
np.savez()?Loading with np.load() returns a dictionary-like object. You access arrays by keys like data['data'].
np.savez_compressed() compresses arrays when saving, reducing file size.
np.savez(), what names do they get?Unnamed arrays get default names like arr_0, arr_1, etc.
np.savez()?np.savez() saves arrays in a binary format, not plain text.
np.savez().np.savez() and np.savez_compressed().