May 30, 2019 · I finished analyzing my data and want to show that they are statistically significant using the t-test_ind. However, I haven't found anything functional to show this other than what …

If you are using matplotlib and seeking boxplot annotation, use my code as a function: statistical annotation def AnnoMe(x1, x2, ARRAY, TXT): y, h, col = max(max(ARRAY[x1 …

Jan 5, 2013 · I am familiar with Python's scipy package, but I can't seem to find a way to test whether or not the two arrays are statistically significantly different at each individual array …

Apr 2, 2021 · Most scientific publications use asterisks (*) to denote statistical significance in graphs. An example is shown below. This is rather simple in graphical programs such as …

In statistics, statistical significance means that the result that was produced has a reason behind it, it was not produced randomly, or by chance. SciPy provides us with a module called …

Oct 4, 2024 · Adding significance bars and asterisks to boxplots greatly enhances the interpretability of visualizations. By following the steps outlined in this article, you can …

Let’s create a boxplot to which we can add significance bars. Specifically, let’s graph the petal length values and let’s use the boxplot() function from Matplotlib. This function takes a list as …

This Python tool helps visualizing statistical significance on existing Matplotlib plots by adding significance bars and p-value labels between chosen pairs of columns. Features Converts p …

How do you obtain significance at each discrete data point rather than obtaining one t/p statistic for the comparison of the entire data set, such that you can plot of field of 5% significance. I …

Nov 5, 2022 · I'm tyring to compare a normal distribution to a histogram of actual data. I'm plotting the two with the following Python code: plt.hist(adjustedVar.iloc[:,8], bins=50, density=True) …