Calculating averages or sums is often used in environmental data analysis. This post collects some examples of computing the average (or sum) of xarray data based on my program for processing global climate change datasets. The example show how to calculate monthly mean from daily data. How to calculate spatial average over a sub region ..
Category : Worknotes
This examples show how to convert svg files to png files with white background or transparent background. You can convert single file, you can also convert many files together quickly. Create a file which includes all svg file names, and create a file which includes all output png file names. It’s better put the svg ..
Prompt engineering In prompt engineering, ChatGPT can be used to generate high-quality prompts that are tailored to specific tasks or domains. Prompt engineering involves designing prompts that will result in the desired response from the model, and ChatGPT can be a powerful tool in this process. Here are some specific ways that ChatGPT can be ..
ChatGPT is a state-of-the-art artificial intelligence model that has been trained on a massive amount of text data, allowing it to generate high-quality text in response to a wide range of inputs. Developed by OpenAI, ChatGPT is one of the most advanced language models available today, and has the ability to understand and generate human-like ..
There are a few Python packages that can be used to read RData files. Here are three popular ones: #install rpy2 !pip install rpy2 #An example of how to use rpy2 to load an RData file: #—————————————————- import rpy2.robjects as robjects # Load RData file robjects.r[‘load’](‘file.RData’) # Access R objects from Python r_var = robjects.globalenv[‘var_name’] ..
The following code is used to count the order of the date of February 29 in leap years for a period. import sys import warnings if not sys.warnoptions: warnings.simplefilter(‘ignore’) #Process data import numpy as np import matplotlib.pyplot as plt #Process data import numpy as np import xarray as xr #Writing data files import pandas as ..
The maps posted here are generated based on SPAM 2010 v2.0 data. These maps are for my own reference only when conducting climate change risk assessment studies. Please do not cite them in any academic..
Global maps of major crops for reference. These maps are plotted based on ISIMIP2b’s land use data. for the period of 2005-2014. Only rainfed land use for crops is mapped.These maps are for personal reference only, please do not ..
Group DataFrame using a mapper or by a Series of columns.Return a GroupBy object, grouped by values in column named “col”.Grouping and aggregation functions to help you to learn features of your dataset, like the sum, mean, or average value of a group of elements. The sample code below may help. Prepare data import pandas as ..
It is easy to change the layout, sort, reindex, rename, and subset table data using pandas commands. The simple code below shows you how to do this easily. The functions include melt(),pivot,sort_values,rename,sort_index,drop,filter,query,iloc,loc,iat,at and drop_duplicates. Prepare data #dowonload https://github.com/ziwangdeng/Data/blob/main/Vancouver_weather2010to2019_v00.csv import pandas as pd df=pd.read_csv(‘Vancouver_weather2010to2019_v00.csv’) cols=df.columns df1=df[cols[:10]] df2=df[cols[10:]] ll=len(df) df3=df.head(5000) df4=df.tail(ll-5000) df.columns Index([‘Unnamed: 0’, ‘Longitude (x)’, ‘Latitude ..