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The numpy.matlib.rand() function is used to generate a matrix where all the entries are initialized with some random values. The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects. This function helps to create a matrix of a given shape and filled with random value in the range [0, 1). Hence, we can use this methodContinue Reading

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The numpy.matlib.identity() function is used to return an identity matrix of the given size. Let us understand the concept of identity matrix first. An Identity matrix is a matrix with all the diagonal elements initialized to 1 and rest all other elements to zero. Syntax of matlib.identity(): The required syntax to use this function is as follows: Parameters: LetContinue Reading

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The numpy.matlib.eye() function is used to return a matrix with all the diagonal elements initialized to 1 and with zero value elsewhere. The numpy.matlib is a matrix library used to configure matrices instead of ndarray objects. Syntax of matlib.eye(): The required syntax to use this function is as follows: Parameters: Let us now cover the parameters used with this function: Returned Values: This method willContinue Reading

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In numpy.std() function “std” stands for standard deviation. Let us first tell you what is standard deviation mean and then we will cover this method. What is Standard Deviation? The standard deviation is basically a measure of the amount of variation or dispersion of the set of values. It is also known as the square root of the averageContinue Reading

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Syntax of numpy.mean(): The syntax required to use this function is as follows: Parameters: Below we have the description of Parameters used by this Function: Returned Values: This function mainly returns the arithmetic mean of the array (it will return a scalar value if the axis is none) or an arrayContinue Reading

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The term Median is basically defined as the value that is used to separate the higher range of data samples from a lower range of data samples. Syntax of numpy.median(): The syntax required to use this function is as follows: Parameters: Below we have the description of parameters used by this function: ReturnedContinue Reading

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In the statistical function numpy.ptp(), “ptp” stands for peak to peak. Syntax of numpy.ptp(): The syntax required to use this function is as follows: Parameters: Below we have the description of the parameters accepted by this function: Returned Values: This function returns the range of the array (it will return a scalar valueContinue Reading

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This is a statistical function of the NumPy library that is used to return the maximum element of an array or maximum element along an axis. To find the minimum value of an array we use the numpy.amin() function. Syntax of numpy.amax(): The syntax required to use this function is as follows: Parameters: NowContinue Reading

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This is a statistical function of the NumPy library that is used to return the minimum element of an array or minimum element along an axis. Syntax of numpy.amin(): The syntax required to use this function is as follows: Parameters: Now it’s time to discuss the parameters of this method: Returned Values: This functionContinue Reading

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The strip() function is used to strip or remove the leading and trailing characters for each element in an array. We can specify the character to be stripped, otherwise by default this function will remove the extra leading and trailing whitespaces from the string. This function basically calls str.strip in an element-wise manner. Syntax of numpy.char.strip(): TheContinue Reading