Shulou(Shulou.com)06/02 Report--

It is believed that many inexperienced people have no idea about what the paleoclimate time series Pyleoclim is like. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

Today, we introduce a Python library-Pyleoclim, which is used to deal with paleoclimate time series analysis. Put a picture here. The introduction is very clear. I am used to analyze paleoclimate series data.

If you want to use the Pyleoclim library in Python, of course, you have to install it first. What I have to take is that the installation is really too high. I tried to install it about a month ago, but I didn't install it. Is it because I use winOS, the details are not clear, but it will be extremely difficult to install? a single geopndas front-end time has tortured me hard enough. You said that installing gpd may not need a lot. But if you don't install it, you can't get through. I'll screw it.

The installation of Pyleoclim needs to rely on packages. If you are specific, I will go to the official website and have a look at it. I am psychologically prepared for the installation. I remember that the last time other dependent packages were installed, the results showed that fortran and so on. Where would I get that ghost?

Okay, so let's take a look at the functions of this Python library for paleoclimate time series analysis.

. It is probably divided into two parts. The first is the data preprocessing. For example, some paleoclimate data need to be removed from the trend and standardized. After the preprocessing is completed, we will enter the analysis link. The following figure provides spectral analysis and its significance test, wavelet transform and wavelet coherence analysis and its significance test, and then there is.

Next, let's briefly introduce some of the methods in it.

This is the standardization of data.

This is spectral analysis, and the default method is wwz,Weighted Wavelet Z-transform. Of course, there is also a MTM,Multi-Taper Method, is not very familiar with ah, Sao years, this MTM support in winOS is not good, so set up a macos to run, but now you can, through this library.

Significance test

This is the wavelet periodic analysis and its significance test, which is generally tested by Monte Carlo method.

This is coherence analysis. As the name implies, it is easy to understand what the required data looks like. The arrow represents the phase relationship, and the coherence value is between 0 and 1.

Want to achieve the above method, although matlab can also be achieved, and the installation is easy, but Python can now, but the installation is annoying, ah, always can not install.

OK, that's all for today's sharing. Interested partners can try to install it. It is recommended to install the required dependency package before installation. This is also the most time-consuming stage. Have you mastered the method of paleoclimate time series Pyleoclim after reading the above? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.