numpy

Python Numpy 101: How to Calculate the Row Variance of a Numpy 2D Array?

You can play with the following interactive Python code to calculate the variance of a 2D array (total, row, and column variance). Here’s another practical example: What is the output of this puzzle?*Advanced Level* (solution below) Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices. This puzzle introduces a …

Python Numpy 101: How to Calculate the Row Variance of a Numpy 2D Array? Read More »

How to Calculate Variance of Python NumPy Arrays?

Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices. Did you already learn something new today? Let’s master the popular variance function in NumPy! Problem: How to calculate the variance of a NumPy array? Solution: To calculate the variance of a Python NumPy array x, use the function np.var(x). …

How to Calculate Variance of Python NumPy Arrays? Read More »

Numpy Weighted Average np.average(array, axis=0, weights=[0.1,0.1,0.8])

How to Calculate the Weighted Average of a Numpy Array in Python?

NumPy’s average function computes the average of all numerical values in a NumPy array. When used without parameters, it simply calculates the numerical average of all values in the array, no matter the array’s dimensionality. For example, the expression np.average([[1,2],[2,3]]) results in the average value (1+2+2+3)/4 = 2.0. However, what if you want to calculate …

How to Calculate the Weighted Average of a Numpy Array in Python? Read More »

Python Numpy 101: How to Calculate the Simple Average of a Numpy Array?

[python] import numpy as np # stock prices (3x per day) # [morning, midday, evening] solar_x = np.array( [[2, 3, 4], # day 1 [2, 2, 5]]) # day 2 print(np.average(solar_x)) [/python] What is the output of this puzzle? *Beginner Level* (solution below) Numpy is a popular Python library for data science focusing on arrays, …

Python Numpy 101: How to Calculate the Simple Average of a Numpy Array? Read More »

How to Calculate the Standard Deviation of a Numpy Array?

Daily Data Science Puzzle [python] import numpy as np temp_sensor = np.array( [ 18, 22, 22, 18 ]) mean = np.mean(temp_sensor) std = np.std(temp_sensor) print(str(int(mean – std)) + "-" + str(int(mean + std))) [/python] What is the output of this puzzle? *Intermediate Level* (solution below) Numpy is a popular Python library for data science for …

How to Calculate the Standard Deviation of a Numpy Array? Read More »