[Matplotlib-users] Reshaping Tabular Data to Column Data

Tue Mar 24 18:12:49 EDT 2020

Hi -
I seem to be stuck here trying to convert downloaded data that is in tabular form since I need to analyze it in single column format. The data is from here and I'm using read_csv as shown below -

pnadata1= pd.read_csv('https://www.esrl.noaa.gov/psd/data/correlation/pna.data')

The downloaded data looks like this with the values in months 1-12 across the columns below for each year 1948-present -

                                    1948        2020
0   1948 -99.90 -99.90 -99.90 -99.90 -99.90 -99.9...
1   1949 -99.90 -99.90 -99.90 -99.90 -99.90 -99.9...
2   1950  -3.65  -1.69  -0.06  -0.23  -0.40  -1.9...
3   1951  -1.18  -2.11  -1.09   0.47   1.19  -0.5...
4   1952  -3.19   0.08  -0.69   0.89  -0.79   0.5...

And, I need it to be reshaped to look like this in yyyymm values format so I can compare it easily to other downloaded data in the column format -

194801 -99.90
194802 -99.90
194803 -99.90
...
202001 -3.45
202002  0.87

I've tried working with "melt" and "group" in different combinations but cannot figure it out given the online references. Thank you,
Randall

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Randall P. Benson, PhD
Wind Asset Meteorologist, Energy Resource - Onshore

1125 NW Couch Street, Suite 700
Portland, Oregon, USA 97209
Telephone  503-796-7129
Cell  971-227-2477
randall.benson at avangrid.com<mailto:randall.benson at avangrid.com>

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