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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

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The swapcase() function is mainly used to return an element-wise copy of the string with the uppercase characters of the string converted to lowercase and lowercase characters converted to uppercase. In short, it swaps or changes the case of the characters in a given string. This function is locale-dependent for an 8-bitContinue Reading

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The capitalize() function is basically used to convert the first character of a string to an uppercase (capital) letter. If the string is having its first character as capital already, then this function will return the original string itself. This function calls the str.capitalize in an element-wise manner. This function is locale-dependent for an 8-bit string. SyntaxContinue Reading

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The upper() function is used to convert all lowercase characters of a string to uppercase. If there is no lowercase characters in the given string then this function will return the original string. Syntax of numpy.char.upper(): The syntax required to use this function is as follows: The above syntax indicates that upper() function takes two parameters.Continue Reading