The package was created to simplify the process of EOF analysis in the Python environment. Some of the key features are listed below: Suitable for large data sets: computationally efficient for the large data sets typical of modern climate model output. ...
eof2 is a Python package for performing EOF analysis on spatial-temporal data sets, licensed under the GNU GPLv3. The package was created to simplify the process of EOF analysis in the Python environment. Some of the key features are listed below: Suitable for large data sets: computationally...
pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python 项目地址:https://github.com/zzheng93/pyEOF pyEOF is aPythonpackage forEOFandRotated EOF Analysis. It takes advantage of sklearn.decomposition.PCA (for EOF) Advanced Priniciple Component Analysis (for varimax...
# 将横坐标转换为日期格式 dates_num = [mdates.date2num(t) for t in time] # 绘制第一个子图 ax1 = fig.add_subplot(4, 2, 1, projection=projection) # 为第一个子图添加地图底图 mapart(ax1) # 在第一个地图上绘制第一空间模态的填充色图,EOFs[0]表示从EOF中取出第一个空间模态 p = ax1....
经验正交分解(Empirical orthogonal function,EOF,以下简称“EOF分解”)又被称为主成分分析(Principal component analysis,PCA),最早由Pearson提出,20世纪50年代Lorenz将该方法引入大气科学领域,随后被广泛应用至今。 EOF分解是一种分析矩阵数据中的结构特征、提取主要数据特征量的方法。
pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python 项目地址:https://github.com.../zzheng93/pyEOF pyEOF is a Python package for ...
经验正交分解(Empirical orthogonal function,EOF,以下简称“EOF分解”)又被称为主成分分析(Principal component analysis,PCA),最早由Pearson提出,20世纪50年代Lorenz将该方法引入大气科学领域,随后被广泛应用至今。 EOF分解是一种分析矩阵数据中的结构特征、提取主要数据特征量的方法。
# Create an EOF solver to do the EOF analysis. Square-root of cosine of# latitude weights are applied before the computation of EOFs.coslat=np.cos(np.deg2rad(lats))wgts=np.sqrt(coslat)[...,np.newaxis]solver=Eof(sst,weights=wgts)var1=solver.varianceFraction(neigs=1) ...
经验正交函数分析方法(Empirical Orthogonal Function,缩写为EOF),也称特征向量分析(Eigenvector Analysis),或者主成分分析(Principal Component Analysis,缩写PCA),是一种分析矩阵数据中的结构特征,提取主要数据特征量的一种方法。Lorenz在1950年代首次将其引入气象和气候研究,在地学及水声学等其他学科中得到了非常广泛的应用...
代码主要分为weather.py:对中国天气网进行爬取天气数据并保存csv文件;data1_analysis.py:对当天的天气信息进行可视化处理;data14_analysis.py:对未来14天的天气信息进行可视化处理。下面是代码的结构图: 附源代码 weather.py # weather.py import requests from bs4 import BeautifulSoup import csv import json def...