Let’s learn how to generate evenly spaced samples in NumPy using np.linspace(), which creates arrays with a specified number of points between start and stop values. We will use Numpy linspace method for that purpose.
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How to Calculate Correlation Between Arrays in NumPy Using np.corrcoef (Pearson Coefficient Matrix)
This guide shows how to calculate correlation between arrays in NumPy using np.corrcoef(), which returns the Pearson correlation coefficient matrix for two or more arrays.
How to Calculate Absolute Value Using NumPy np.abs (Scalars, Arrays, Matrices, and Complex Numbers)
This Python guide introduces you to calculating the absolute value using Numpy, along with several practical techniques.
How to Cast NumPy Array dtype Using astype() (int to float, float to int Examples)
Let’s learn how to cast NumPy array dtype using the astype() method, which converts arrays from int to float, float to int, or any other data type with simple syntax.
How to Generate Sequence Arrays in NumPy Using np.arange (start, stop, step Examples)
Let’s see how to generate sequence arrays in NumPy using the np.arange() function, which creates evenly spaced values with customizable start, stop, and step parameters.
How to Convert NumPy Array to String (np.array2string, np.array_str, and Python join Methods)
Let’s look at a few ways to convert a numpy array to a string. We will see how to do it in both Numpy and Python-specific ways.
How to Reverse Array in NumPy (np.flip, np.flipud, np.fliplr, and Slicing Examples)
Let’s learn how to reverse array in NumPy using np.flip() for all axes, np.flipud() for vertical reversal, np.fliplr() for horizontal reversal, and slicing tricks.
How to Convert NumPy Array to Python List (Using .tolist() and list() Methods)
Let’s see how to convert NumPy array to Python list using the preferred ndarray.tolist() method or the built-in list() constructor for seamless type conversion.
How to Create Empty Array in NumPy Using np.empty (Uninitialized Arrays Explained)
Let’s see how to create empty array in Numpy Python module.
How to Reshape Array in NumPy (np.reshape with Dimensions, order=’C/F’, and copy Examples)
Let’s see how to reshape array in NumPy using the np.reshape() method, which changes array dimensions while preserving total elements and supports order and copy parameters.
How to Calculate Square Root in NumPy (np.sqrt for 1D and Multi-Dimensional Arrays)
NumPy’s np.sqrt() function makes it easy to calculate square root in NumPy for entire arrays, applying the square root operation element-wise to 1D or multi-dimensional arrays. Let’s see how to calculate square root in Numpy Python module.
How to Calculate Standard Deviation in NumPy (np.std with ddof, axis, and Population/Sample Examples)
This guide shows how to calculate standard deviation in NumPy using np.std(), supporting both population standard deviation (default ddof=0) and sample standard deviation (ddof=1). Standard deviation is a statistical measure that quantifies the dispersion or spread of a dataset around its mean (average) value. A low standard deviation indicates that the data points tend to Continue reading
How to Calculate Variance in NumPy (np.var with Population, Sample and ddof Examples)
This guide shows how to calculate variance in NumPy using the np.var() function, which handles both population variance (default) and sample variance with the ddof parameter. Variance is a key statistical measure that helps to understand how data points are spread out.
How to Calculate Mode in Python (statistics.mode, NumPy bincount/argmax, and Examples)
Let’s see how to calculate mode in Python.
How to Calculate Geometric Mean in Python (statistics.geometric_mean, NumPy, and SciPy Examples)
This guide shows how to calculate geometric mean in Python using the statistics module, NumPy logarithmic method, or SciPy’s gmean function for data analysis tasks. The geometric mean is a measure of central tendency that is useful for dealing with data that has a wide range of values and is often used in finance, biology, Continue reading