loadNpz
Syntax
loadNpz(fileName)
Arguments
filename is a STRING indicating the path of .npz file.
Details
Read an npz binary file from Python NumPy and convert it into DolphinDB objects. NaN in .npz file is converted into NULL in DolphinDB.
Conversion Table for Python np.array and DolphinDB Objects:
| NumPy array | DolphinDB Objects |
|---|---|
| one-dimensional | vector |
| two-dimensional | matrix |
| three-dimensional | tuple (where each element represents a matrix |
Data types supported for conversion are: BOOL, CHAR, SHORT, INT, LONG, FLOAT, DOUBLE and STRING (only one-dimensional array is supported).
Examples
Save .npz file in Python:
import numpy as np a = np.array([[[97, 98]]], dtype=np.int8) a1 = np.array(['133', '211', '3dds', 'ddd4', 'e5', 'w6']) b1 = np.array([[0.7, 0.8, 9.2], [0, np.nan, np.nan], [1.5, 2.8, 0.2]]) c1 = np.array([[[0.2, 3.3], [1.9, 4.3]], [[5, 6], [1, 2]]]) np.savez('my_path/array_save.npz', char=a, a1=a1, b1=b1, c1=c1)
Load .npz file in DolphinDB:
path="my_path/array_save.npz"
loadNpz(path)
// output
a1->[133,211,3dds,ddd4,e5,w6]
char->(#0 #1
'a' 'b'
)
c1->(#0 #1
0.2 3.3
1.9 4.3
,#0 #1
5 6
1 2
)
b1->
#0 #1 #2
0.7 0.8 9.2
0
1.5 2.8 0.2Related Function: loadNpy