CODING Snippet 001: Timeseries Analysis using Python Xarray | METEOROLOGY-RELATED Pep Talk

[@angelsfelaris5753]

Felix here Met...... i really enjoyed this video . thank you very much ... starting from .. Snippet 001

[@meteodata]

Glad you found it useful, Felix

[@Oceansteve]

Really interesting video... muich appreicated

[@meteodata]

Glad you found it helpful.

[@XinhLe]

surprisingly great

[@meteodata]

Glad you found it helpful.

[@nanaadjoa6707]

Explicitly explained. Life just got easier with metpeptalk.

[@meteodata]

Glad you enjoyed it. Have a great time coding.

[@macegamma431]

Short sweet n Great.

[@meteodata]

Glad this tutorial was beneficial to you. Do subscribe and click on the notification bell to be notified of any new post.

[@muhbayquni42]

So clearly, you explained

[@meteodata]

Glad you found it useful and informative.

[@ejeefe4816]

Please I am new to coding on anaconda phython..................Is the Xarray a modified Pandas or they are two different things?

[@meteodata]

Xarray is different from pandas. It has pandas as a dependency, and utilizes some pandas syntaxes. Xarray is purely devoted to handling multi-dimensional data easily.

[@ejeefe4816]

@@meteodata OK. I will use this approach to see if I can apply it to the climate data I sent you. I want to see the time series in times of the hours, seperate each of the data and also construct the plots

[@subhambanerjee3012]

Sir could you please tell how you installed spyder because when I want to import xarray in spyder, it says no module available? I have installed xarray and I even tried creating a new spyder environment but it still didn't work.

[@meteodata]

you can install the Anaconda navigator and then you get the Spyder installed.

[@jacobagyekum3915]

Nice nice!!

[@meteodata]

Glad you enjoyed it. Have a great time coding.

[@marcusmitchelle1488]

as you have your data in years, i have data in days. so while using 'time.year' in line 26 im getting an error. so how to solve this problem. Also i want to plot these graphs for specified JJAS in specific year. so how to plot these??

[@pedroregoto5158]

Very nice video, congratz! Is there a way to plot for the whole domain (not for one point) only the slope of the trend, like a spatial trend?

[@meteodata]

Glad you found the information useful. Kindly check the attached link for information in that regard. kzbin.info/www/bejne/sGakqpmKqK-MgdE&lc=Ugx-zW6QCS0T7Y7_6Z14AaABAg

[@agumasekindie7672]

interesting. Thank you. Could you provide how to calculate drought indices like SPI, SPEI..

[@meteodata]

The team will put it into consideration. Thanks for following through with our tutorial content.

[@meteodata]

kzbin.info/www/bejne/sIq3Zommhrx9d7M

[@DianaHydra]

Hello, I am new to coding and workin along with this tutorial using an ERA5-Land monthly average dataset. It worked fine up to SLS.plot() but is not working for ASA. Any chance of some help?

[@meteodata]

Hello Diana, I have seen your data. The minor challenge you have is with the co-ordinate name. In your data, the 'lat' is called 'latitude', and 'lon' is 'longitude', so in subsetting, you need to type the full name for the coordinate as shown below. ASA=Data_2_use.sel(longitude=np.arange(-1.5,1.5,0.1),latitude=np.arange(5,15,0.1),method='nearest') Hope this works!!!

[@codenust2753]

Thank you. How can we calculate mann-kendal test on all grid points and make a spatial plot? Thank you.

[@meteodata]

Find tutorial on spatial Mann-Kendall trend test here kzbin.info/www/bejne/b6PQe4SofpyKbLs Hope it proves useful.

[@codenust2753]

@@meteodata Thank you so much for creating this tutorial.

[@wayfoward_]

Good day Sir can a timeseries be done for two datas on the same plot?

[@meteodata]

Yes. With your plot axes defined, it's possible to refer your plots to that axis. For example: fig = PLT.figure() ax = fig.add_subplot() data1.plot( ax = ax ) data2.plot( ax = ax )

[@kelvinansah359]

Great work! but i cant have access to the data. the link posted here is not working. can please help. thank you

[@meteodata]

Should work now. It was under maintenance at time of earlier search.

[@Anurag-sq4yc]

very informative video and can you say how to merge netcdf files in xarray

[@meteodata]

Can you elaborate, please.

[@bervelyvan]

Thank you sir

[@meteodata]

Glad you enjoyed it. Have a great time coding.

[@codenust2753]

Can we make a normal distribution from this time series to find out mean, variance, skew etc. Thank you.

[@meteodata]

Find more info on that here. kzbin.info/www/bejne/l6bZYYawmZdmrrM

[@codenust2753]

@@meteodata This is super helpful. Thank you so much!

[@meteodata]

@@codenust2753 Glad it proved useful.

[@marianosei1516]

How about adding a trendline to the timeseries?

[@meteodata]

@Marian Osei Using the Ann_avg as an example data, you set x as the years and y as the data points. Thereafter, you attempt the following: import matplotlib.pyplot as plt plt.plot(np.unique(Ann_avg.year.values), np.poly1d(np.polyfit(Ann_avg.year.values, Ann_avg.values, 1))(np.unique(Ann_avg.year.values)))

[@marianosei1516]

@@meteodata Great thanks

[@meteodata]

@@marianosei1516 Glad it proved useful. Cheers!!!

[@jacobagyekum3915]

Waiting patiently for spatial analyses 😅

[@meteodata]

Jacob Agyekum, it's bound to go online in a couple of days. Thanks for your comment.