pandas numpy This function generates a normally distributed sample from a given pandas Series data. The mean of the normal distribution can be customized, while the standard deviation is calculated based on the original data. Data generation and processing 2024-12-16 12:16:09 11 views
seaborn numpy This function performs a t-test to compare the mean of a numerical column in a specific group of a dataset and visualizes the results using a bar plot. It also annotates the t-statistic and p-value. Function 2024-12-16 11:59:33 3 views
scipy.stats: used This function first uses the Shapiro-Wilk test to check the normality of the data. If the p-value is greater than 0.05, it is assumed that the data follows a normal distribution; otherwise, a t-distribution is used. The function returns a randomly generated data distribution. The type of code 2024-12-16 11:45:06 4 views
numpy scipy.stats.levy_stable This function generates a random walk using a stable distribution. It takes three parameters: the number of steps in the walk n, and the parameters mu and sigma of the stable distribution. Function 2024-12-16 11:41:54 3 views
SciPy's scipy.spatial.distance.cdist This function calculates the area of a triangle given its base and height, and performs a Shapiro-Wilk test to check the normality of the area values. Function 2024-12-16 11:41:19 3 views
pandas numpy This function plots a normal distribution based on the given mean (mu) and standard deviation (sigma), using both histogram and normal distribution curve to show the data distribution. Data visualization 2024-12-16 11:40:14 6 views
pandas scipy.stats This function generates a Poisson distribution based on the provided lambda value and returns a DataFrame with two columns: 'time' and 'count'. The type of code 2024-12-16 11:35:26 7 views
numpy scipy.stats This function generates a random matrix of specified number of rows and columns based on the specified distribution type and parameters. Custom function 2024-12-16 11:30:07 4 views
pandas numpy This function takes two datasets as input and analyzes the correlation between them using the Pearson correlation coefficient. Data Analysis Function 2024-12-16 11:28:45 4 views
collections.Counter scipy.stats.entropy This function calculates the entropy of the given dataset, which is a measure of the level of disorder in the data set, commonly used in information theory and machine learning. Custom function 2024-12-16 11:25:36 24 views
