KOLDUNOV.NET

earthpy.org

EarthPy - pandas

http://earthpy.org/tag/pandas.html

Flow duration curves from current USGS NWIS data. Published: Mo 31 August 2015. Using Flow Duration Curves to Determine Basin Characteristics and Estimate Flow. This notebook uses the Scientific Python (scipy) stack tools to generate flow duration curves from current USGS NWIS data. Using recipes from this notebook, you can make:. Iterative import and compilation of USGS station information and data. Iterative charts (one monthly summary boxplot per station). Gantt charts of USGS stations. The function a...

earthpy.org

IPyhton interact and widgets (or how to write python version of ncview in about 3 lines of code)

http://earthpy.org/pyncview_pm.html

IPyhton interact and widgets (or how to write python version of ncview in about 3 lines of code). Published: Sa 12 April 2014. Work with data interactively. IPython widgets, interact. Now with IPython 2.0 widgets and. Command my dream come true - I can build a GUI for my data visualisation basically with one line of code. Below I will show how to create simple interactive visualization of geophysical variables from netCDF files. It is sort of quick and dirty replacement for great ncview program. Now for ...

earthpy.org

EarthPy - netCDF

http://earthpy.org/tag/netcdf.html

Calculations with arrays bigger than your memory (dask arrays). Published: So 07 Juni 2015. Process numpy arrays in parallel. Geophysical models get higher and higher resolutions, producing more and more data. However numpy arrays and pandas data frames only work with data that fit in to a memory. For many of us it means that before real analysis we have to somehow subsample or aggregate initial data with some heavy lifting tools (like cdo. If you dont use conda. Conda install dask pydot networkx. As usu...

earthpy.org

EarthPy - Visualization

http://earthpy.org/category/visualization.html

Published: Sa 14 Februar 2015. Make matplotlib plots look nicer. We going to work with climate indeces (AO, NAO, PNA indices):. Wget http:/ www.cpc.ncep.noaa.gov/products/precip/CWlink/daily ao index/monthly.ao.index.b50.current.ascii! Wget http:/ www.cpc.ncep.noaa.gov/products/precip/CWlink/pna/norm.nao.monthly.b5001.current.ascii! Wget http:/ www.cpc.ncep.noaa.gov/products/precip/CWlink/pna/norm.pna.monthly.b5001.current.ascii. Create pandas data frame (. And now we just import. Statistical plots ¶.

earthpy.org

How to make your python code run faster

http://earthpy.org/speed.html

How to make your python code run faster. Published: So 15 Februar 2015. Make your python scripts run faster. Multiprocessor, cython, numba. One of the counterarguments that you constantly hear about using python is that it is slow. This is somehow true for many cases, while most of the tools that scientist mainly use, like. Have big chunks written in. Lets first download some data to work with (NCEP reanalysis air temperature):. For vvv in variabs:. For i in range(2000,2010):. It works slow enough:.

earthpy.org

About EarthPy

http://earthpy.org/first-post.html

Published: Di 28 März 2023. EarthPy is a collection of IPython notebooks. With examples of Earth Science related Python code. It can be tutorials, descriptions of the modules, small scripts, or just tricks, that you think might be useful for others. Contributions are very welcome. To add your code to EarthPy, just send .ipynb file to koldunovn@gmail.com. Python for the Atmospheric and Oceanic Sciences. Koldunov.net (in Russian). Proudly powered by Pelican. Which takes great advantage of Python.

earthpy.org

EarthPy - matplotlib

http://earthpy.org/tag/matplotlib.html

Flow duration curves from current USGS NWIS data. Published: Mo 31 August 2015. Using Flow Duration Curves to Determine Basin Characteristics and Estimate Flow. This notebook uses the Scientific Python (scipy) stack tools to generate flow duration curves from current USGS NWIS data. Using recipes from this notebook, you can make:. Iterative import and compilation of USGS station information and data. Iterative charts (one monthly summary boxplot per station). Gantt charts of USGS stations. The function a...

earthpy.org

Select time ranges in multidimensional arrays with pandas

http://earthpy.org/pandas_netcdf.html

Select time ranges in multidimensional arrays with pandas. Published: Mo 16 Februar 2015. Select specific time ranges from multidimensional arrays. I like pandas for very easy time handling, and would like to use similar approach when work with multidimensional arrays, for example from netCDF files. There are already some efforts. Necessary imports (everything can be installed from Anaconda. Download some data (monthly mean air temperatures from NCEP reanalysis):. Load variables, and create 2D lat and lon.

geohit.ru

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http://www.geohit.ru/ocean/1.html

Integrated Ocean Drilling Program (IODP). The Japan Trench Fast Drilling Project. IODP - Exp.343. Integrated Ocean Drilling Program - Expedition 342. Dr Jiri Brezina, Professor of Geology, University of Maryland European Division. Geologia Marinha e Costeira. Data Center - Oceanographic. Woods Hole Oceanographic Institution. Marine Geoscience Data System. Physical Oceanography Distributed Active Archive Center (PO.DAAC). NOAA releases new views of Earth's ocean floor. Maps: Age of the Ocean Floor. Sean C...

earthpy.org

EarthPy - Introduction to Python

http://earthpy.org/category/introduction-to-python.html

00 - Why Python? Published: So 27 Oktober 2013. In Introduction to Python. Tags: python for geosciences. This is part of Python for Geosciences. It's easy to learn, easy to read and fast to develop ¶. It's free and opensource. ¶. You will be able to use your scripts even if your institute does not have enough money to buy expensive software (MATLAB or IDL). You can make changes in the code, or at least have the possibility to look at the source code if you suspect that there is a bug. You can use it not ...