Fix colormap and climatology calculations SeaIceSeasonality_DFA.ipynb notebook

[NoahDay]

closes #271

• Colorbar reversing updated for compliance with later Matplotlib
• Climatology calculation for decadal anomalies
• Remove excess directory lines
• Fixed subplot grid labels
• Fixed colorbar ranges for anomalies
• and various other typos and inconsistencies

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This pull request has been mentioned on ACCESS Hive Community Forum. There might be relevant details there:

https://forum.access-hive.org.au/t/cosima-hackathon-v3-0-monday-september-4th-2023/1186/4

[navidcy]

@anton-seaice could you review this PR?

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anton-seaice commented on 2023-10-02T01:00:30Z ----------------------------------------------------------------

Please update the conda/analysis version. I don't think this comment about the drop down list makes sense anymore

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anton-seaice commented on 2023-10-02T01:00:31Z ----------------------------------------------------------------

Line #2.    #exp = "01deg_jra55v140_iaf_cycle2"

Please remote this line and fix the comment in line one to refer to the right model run.

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anton-seaice commented on 2023-10-02T01:00:32Z ----------------------------------------------------------------

Line #88.            time = pd.date_range(str(year)+'-02-15', str(year)+'-02-16', freq = 'D', closed = 'left')

replace closed='left' with inclusive='right'

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anton-seaice commented on 2023-10-02T01:00:32Z ----------------------------------------------------------------

Line #77.            cbar_ticks = [int(i) for i in np.arange(-150, 151, 50)]

cbar_ticks = np.arange(-150, 151, 50)

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anton-seaice commented on 2023-10-02T01:00:33Z ----------------------------------------------------------------

Line #82.            cbar_ticks = [int(i) for i in levels]

cbar_ticks = levels

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anton-seaice commented on 2023-10-02T01:00:34Z ----------------------------------------------------------------

Line #87.            cbar_ticks = [int(i) for i in np.arange(5, timesteps+1, 20)]

cbar_ticks = np.arange(0, timesteps+1, 20)

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anton-seaice commented on 2023-10-02T01:00:35Z ----------------------------------------------------------------

Line #2.    dir_out = '.'

giving these two variables clear names would be good. And using ALLCAPS or start with an _ to show they are constants

I would just define them at the start of the file I think

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anton-seaice commented on 2023-10-02T01:00:36Z ----------------------------------------------------------------

Line #5.    for i in np.arange(0, len(stime)):

We really should use a groupby_bins instead of this loop, but I realise that's not in scope for the review!

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anton-seaice commented on 2023-10-02T01:00:37Z ----------------------------------------------------------------

Line #2.    filein = '.'

We may as well use the same name and variable as the cell above?

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anton-seaice commented on 2023-10-02T01:00:37Z ----------------------------------------------------------------

Line #4.    adv_list = glob.glob(dir_out + "*Adv*.nc")

Remove unneeded line 4/5/6 for consistency with how the rest of the notebook works

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anton-seaice commented on 2023-10-02T01:00:38Z ----------------------------------------------------------------

Line #7.    adv_list, ret_list, dur_list = getFileList(filein, np.arange(start_year, end_year))

start_year and end_year are not defined at this point

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anton-seaice commented on 2023-10-02T01:00:39Z ----------------------------------------------------------------

Line #1.    #File path of folder containing netcdf files

delete old comment

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anton-seaice commented on 2023-10-02T01:00:40Z ----------------------------------------------------------------

Line #5.    yrs = np.arange(start_year, end_year)

I dont see how this line works, you deleted start_year and end_year earlier

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anton-seaice commented on 2023-10-02T01:00:41Z ----------------------------------------------------------------

I'm not sure why the first output plot is blank?