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NumPy References
Course
NumPy Array Operations Methods
Gives a new shape to an array
where() returns indices of an array that are True
transpose() swaps the axes of the given array
concatenate() joins arrays elements together
vstack() stacks the input arrays vertically
append() appends the values at the end of an array
sort() method sorts an array in ascending order
shape() method returns the shape of an array
ravel() flattens array without changing its data
repeat() repeats the elements of the array
hstack() stacks the arrays horizontally
stack() joins a sequence of arrays along new axis
argmax() returns the index of the largest element
roll() shifts array elements by specified times
tile() constructs an array by repeating arrays
argsort() returns indices that sorts an array
squeeze() removes the dimensions with size 1
argmin() returns index of smallest array element
insert() adds the values at specified indices
nonzero() finds indices of elements that aren't 0
returns indices of non-zero elements as 2-D array
delete() deletes the values at specified indices
flip() reverses the order of the elements
dstack() stacks the sequence of arrays depthwise
flatten() flattens array without changing its data
astype() converts an array to a specified datatype
tolist() converts a NumPy array to a Python list
pad() adds a value around array axis
split() splits an array into many sub-arrays
applies function to axis of nd arrays,avoids loops
apply a function repeatedly over multiple axes
NumPy Array Creation Methods
creates an array with interval-based elements
creates new array of given shape filled with zeros
create evenly spaced array elements over interval
creates new array of given shape filled with ones
creates new array of given shape filled with ones
logspace() creates array with evenly spaced number
meshgrid() taken 1D arrays and returns 2D arrays
empty() creates new array without defining entries
copy() returns the copy of an array
full() creates an array filled with a given value
loadtxt() loads data from a text file
asarray() converts all array-like objects to array
diag() either forms or fetches diagonal of array
eye() creates 2D array with 1s(on diagonal) and 0s
frombuffer() interprets a buffer as a 1D array
NumPy Matrix Operations Methods
returns the sum of the diagonals of the matrix
compute the determinant of the given matrix
performs matrix multiplication in NumPy
creates a matrix from a 2-D array-like object
computes various matrix norms
fromstring() creates 1D array from raw binary/text
histogram() computes the histogram of the dataset
NumPy Matrix Operations Methods
std() computes standard deviation of given numbers
percentile() computes q-th percentile of the data
max() returns the largest element of an array
min() returns the smallest element of an array.
average() computes the weighted average of array
computes cross-correlation of two 1D sequences
median() finds the median along specified axis.
var() computes the variance along specified axis
quantile() computes the q-th quantile of the data
nanmean() computes arithmetic mean, ignoring NaNs
computes range of values(maximum-minimum) in array
estimate covariance matrix, given data and weights
mean() computes arithmetic mean of a given set
NumPy Matrix Operations Methods
limits the values in an array to a specified range
returns rounded elements
calculate the sum of array elements
raise the elements of an array to specified power
calculate the cumulative sum of array elements
perform element-wise multiplication of two arrays
computes square root of each element in an array
round down elements to nearest smallest integer
computes the absolute value
calculate the difference of consecutive elements
perform element-wise division of the elements
computes the element-wise sine of array
computes squares of an array's elements
perform element-wise addition
finds minimum value between corresponding elements
finds maximum value between corresponding elements
computes the element-wise arc tangent
computes the cross product of two vectors
determines the sign of each element in an array
calculates base-10 logarithm of array elements
computes arctangent (inverse tangent) of an array
compute the maximum value in an array
computes arccosine (inverse cosine) of an array
computes the element-wise cosine of an array
performs element-wise subtraction of two arrays
rounds up each element in an array
compute the minimum value
compute definite integral using trapezoidal rule
computes the arcsine (inverse sine) of array
rounds the elements of an array
compute the element-wise tangent
calculate the product of array elements
calculate the hyperbolic tangent
calculates the hypotennumber
calculate the natural logarithm of the elements
calculate the exponential values of the elements