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
0
thumb_down
0
chat_bubble_outline
0
Comment auto_stories Bi-column layout
settings
NumPy | cumsum 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 cumsum(~) method returns an array holding the cumulative sums of the input array.
Parameters
1. a | array_like
The input array.
2. axis | None or int | optional
The allowed values are as follows:
Axis | Meaning |
|---|---|
0 | Cumulative sum is computed column-wise |
1 | Cumulative sum is computed row-wise |
None | Cumulative sum is computed using entire array |
By default, axis=None.
3. dtype | string or type | optional
The desired data-type of the returned array. By default, the data-type is the same as that of the input array.
4. out | Numpy array | optional
A Numpy array to place the results in.
Return value
A Numpy array holding the cumulative sum of the input elements.
Examples
1D array
To compute the cumulative sum of a 1D array:
x = np.array([1,2,3])np.cumsum(x)
array([1, 3, 6])
Here, the we are performing the following computations:
[0] 1 = 1[1] 1 + 2 = 3[2] 1 + 2 + 3 = 6
2D array
Consider the following 2D array:
x = np.array([[1,2], [3,4]])x
array([[1, 2], [3, 4]])
All values
To compute the cumulative sums of all values:
x = np.array([[1,2], [3,4]])np.cumsum(x)
array([ 1, 3, 6, 10])
Column-wise
To compute the cumulative sums column-wise, set axis=0:
x = np.array([[1,2], [3,4]])np.cumsum(x, axis=0)
array([[1, 2], [4, 6]])
Row-wise
To compute the cumulative sums row-wise, set axis=1:
x = np.array([[1,2], [3,4]])np.cumsum(x, axis=1)
array([[1, 3], [3, 7]])
Specifying a datatype
To obtain an array of data-type float:
x = np.array([1,2,3])np.cumsum(x, dtype=float)
array([1., 3., 6.])
Here, the . means that the numbers are floats.
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
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!
