——Exploring the “Ontario Climate Change Data Portal”: A Case Study in Data Exploration Prompts searchable table Examples Download csv file from internet ChatGPT prompt I want you to act as a Python developer tasked with downloading a CSV file from the internet using the provided URL: https://lamps.math.yorku.ca/OntarioClimate/data/content/grids/Historical/Monthly_2m_temperature_8964_ERA5_January1981toMarch2021.csv. To accomplish this, write a Python script that ..
Category : Python
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 ..
The popular initializers include RandomNormal distribution function, trancated normal distribution function, GlorotNormal function, HeNormal function and others. This example code show what are these functions and display the probability density functions of these initializers for my reference. Code: import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm x = np.linspace(-10,10,500) #default RandomNormal(mean=0.0, ..
This example pytho program define the popular activation functions and display the functions. Code: import numpy as np import matplotlib.pyplot as plt #——————————- # define the activation functions def relu(x): v=x.copy() v[x=0]=x[x>=0] v[x=alpha*x] ..
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 ..
Select a subset of xarray data for a specified year range with Python by using the sel() method. Here’s an example: import xarray as xr # Load your xarray dataset ds = xr.open_dataset(‘my_dataset.nc’) # Select a subset of data for a specified year range subset = ds.sel(time=slice(‘start_year’, ‘end_year’)) Replace my_dataset.nc with the name of your ..
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 ..
Activation function is a very important component of machine learning and deep learning. There are three types of Activation Functions: Binary Step Function; Linear Activation Function and Non-Linear Activation Functions. Available activation functions in Keras include relu, sigmoid, softmax, softplus, softsign, tanh, selu, elu and exponential. In addition,user can also create custom activation function.Below is an ..
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 ..