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Data Analysis in Python

(Jul 06, 2019)

A basic python tutorial for Climate Science using numpy, Matplotlib, and AOESpy


(Jul 06, 2019)

A complete toolbox for beginners in python that uses python 3+ functions from plotting climate data to basic statistical analysis. Details of the project is posted in the Github.


(Jan 27, 2019)

To find inter-annual variability and correlation between two time series variable that excludes the influence of external forcing (i.e. global warming) ...................



(Oct 18, 2018)

Color maps are important to clarify the scientific plots better. Better color bar can help to make interesting and self explanatory Graph ...................


(Oct 13, 2018)

We will write a linear trend function for 3 dimensional data set. the function will take input variable[time, lat, lon] dimensions and gives output as 2 dimensional trend [lat, lon] and p value of the trend [lat, lon] ...........................


(Oct 12, 2018)

Using the same example as before, we will use sea level pressure (SLP) netcdf data to read and make a plot of annual mean SLP ...........................


(Oct 02, 2018)

Netcdf (nc) file format widely used data format in Geo, Earth, and planetary science field. To import nc data to python workspace...........................


Live surface wind pattern. Drag map to see more (source)
Refusing climate change science be like ....