NumPy
keyboard_arrow_down 319 guides
chevron_leftDocumentation
Method argpartition
NumPy Random Generator4 topics
Method choiceMethod dotMethod finfoMethod histogramMethod iinfoMethod maxMethod meanMethod placeMethod rootsMethod seedMethod uniformMethod viewMethod zerosMethod sumObject busdaycalendarMethod is_busdayProperty dtypeMethod uniqueMethod loadtxtMethod vsplitMethod fliplrMethod setdiff1dMethod msortMethod argsortMethod lexsortMethod aroundMethod nanmaxMethod nanminMethod nanargmaxMethod nanargminMethod argmaxMethod argminProperty itemsizeMethod spacingMethod fixMethod ceilMethod diffProperty flatProperty realProperty baseMethod flipMethod deleteMethod amaxMethod aminMethod logical_xorMethod logical_orMethod logical_notMethod logical_andMethod logaddexpMethod logaddexp2Method logspaceMethod not_equalMethod equalMethod greater_equalMethod lessMethod less_equalMethod remainderMethod modMethod emptyMethod greaterMethod isfiniteMethod busday_countMethod repeatMethod varMethod random_sampleMethod randomMethod signMethod stdMethod absoluteMethod absMethod sortMethod randintMethod isrealMethod linspaceMethod gradientMethod allMethod sampleProperty TProperty imagMethod covMethod insertMethod logMethod log1pMethod exp2Method expm1Method expMethod arccosMethod cosMethod arcsinMethod sinMethod tanMethod fromiterMethod trim_zerosMethod diagflatMethod savetxtMethod count_nonzeroProperty sizeProperty shapeMethod reshapeMethod resizeMethod triuMethod trilMethod eyeMethod arangeMethod fill_diagonalMethod tileMethod saveMethod transposeMethod swapaxesMethod meshgridProperty mgridMethod rot90Method log2Method radiansMethod deg2radMethod rad2degMethod degreesMethod log10Method appendMethod cumprodProperty nbytesMethod tostringProperty dataMethod modfMethod fmodMethod tolistMethod datetime_as_stringMethod datetime_dataMethod array_splitMethod itemsetMethod floorMethod put_along_axisMethod cumsumMethod bincountMethod putMethod putmaskMethod takeMethod hypotMethod sqrtMethod squareMethod floor_divideMethod triMethod signbitMethod flattenMethod ravelMethod rollMethod isrealobjMethod diagMethod diagonalMethod quantileMethod onesMethod iscomplexobjMethod iscomplexMethod isscalarMethod divmodMethod isnatMethod percentileMethod isnanMethod divideMethod addMethod reciprocalMethod positiveMethod subtractMethod medianMethod isneginfMethod isposinfMethod float_powerMethod powerMethod negativeMethod maximumMethod averageMethod isinfMethod multiplyMethod busday_offsetMethod identityMethod interpMethod squeezeMethod get_printoptionsMethod savez_compressedMethod savezMethod loadMethod asfarrayMethod clipMethod arrayMethod array_equivMethod array_equalMethod frombufferMethod set_string_functionMethod matmulMethod genfromtxtMethod fromfunctionMethod asscalarMethod searchsortedMethod full_likeMethod fullMethod shares_memoryMethod ptpMethod digitizeMethod argwhereMethod geomspaceMethod zeros_likeMethod fabsMethod flatnonzeroMethod vstackMethod dstackMethod fromstringMethod tobytesMethod expand_dimsMethod ranfMethod arctanMethod itemMethod extractMethod compressMethod chooseMethod asarrayMethod asmatrixMethod allcloseMethod iscloseMethod anyMethod corrcoefMethod truncMethod prodMethod crossMethod true_divideMethod hsplitMethod splitMethod rintMethod ediff1dMethod lcmMethod gcdMethod cbrtMethod flipudProperty ndimMethod array2stringMethod set_printoptionsMethod whereMethod hstackChar32 topics
check_circle
Mark as learned thumb_up
1
thumb_down
0
chat_bubble_outline
0
Comment auto_stories Bi-column layout
settings
NumPy | savez method
schedule Aug 10, 2023
Last updated local_offer
Tags Python●NumPy
tocTable of Contents
expand_more Master the mathematics behind data science with 100+ top-tier guides
Start your free 7-days trial now!
Start your free 7-days trial now!
Numpy's savez(~) method writes multiple Numpy arrays to a single file in .npz format. Unlike the savez_compressed(~) method, savez(~) merely bundles up the arrays without compression.
Parameters
1. file | file or string or pathlib.Path
The file to which the Numpy array will be written. The .npz extension will be appended to the filename if the path does not already include it.
2. args | Arguments | optional
The arrays to save, with their names assigned as "arr_0", "arr_1" and so on. These names will be needed later to access the arrays individually.
3. kwd | Keyword arguments | optional
The arrays to save, with their names specified by the keyword argument.
Return value
None.
Examples
Basic usage
To save multiple Numpy arrays:
filter_none
Copy
x = np.array([3,4,5])y = np.array([6,7,8])np.savez("my_data", x, y)
This saves our arrays in a single file called my_data.npz, which exists in the same directory as our Python script.
To read this file later, use Numpy's load(~) method like so:
filter_none
Copy
my_arrays = np.load("my_data.npz")print("x", my_arrays["arr_0"])print("y", my_arrays["arr_1"])
x [3 4 5]y [6 7 8]
Notice how the default name of the arrays are "arr_0" and "arr_1".
You could also iterate over all the arrays like so:
filter_none
Copy
my_arrays = np.load("my_data.npz")for name in my_arrays: print("name:", name, "| array:", my_arrays[name])
name: arr_0 | array: [3 4 5]name: arr_1 | array: [6 7 8]
Naming arrays
Instead of the default names, you can assign custom names to the arrays using keyword arguments:
filter_none
Copy
x = np.array([3,4,5])y = np.array([6,7,8])np.savez("my_data", my_x=x, my_y=y)
Now, to fetch these arrays later:
filter_none
Copy
my_arrays = np.load("my_data.npz")print("x:", my_arrays["my_x"])print("y:", my_arrays["my_y"])
x: [3 4 5]y: [6 7 8]
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Comment
Citation
Ask a question or leave a feedback...
thumb_up
1
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!
