Visualizing the trend of the data

In this, we will be plotting the data, Visualizing its trend, and matching the trend.

Python3




import matplotlib.pyplot as plt
 
gfg_data = [1, 2, 3, 4, 5]
 
plt.plot(gfg_data)


Output:



How to Perform a Mann-Kendall Trend Test in Python

In this article, we will be looking at the various approaches to perform a Mann-Kendall test in Python.

Mann-Kendall Trend Test is used to determine whether or not a trend exists in time series data. It is a non-parametric test, meaning there is no underlying assumption made about the normality of the data.

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Mann-Kendall Trend Test using mk.original_test() function

In this approach, the mk.original_test() function with required parameters from the pymannkendall library to conduct the Mann-Kendall Trend test on the given data in the python programming language. To install the pymannkendall library for mk.original_test() function:...

Visualizing the trend of the data

...

Visualizing the trend of the data:

In this, we will be plotting the data, Visualizing its trend, and matching the trend....

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