Closed gast-ben closed 3 years ago
Can you try logarithmic color scale for GW and PW activity?
from matplotlib import colors
levs = np.logspace(0, 3.0, num=21)
da.plot.contourf(x = 'lag', levels = levs, norm=colors.LogNorm(), extend = 'both')
Logarithmic color scale was applied for GW and PW activity climatologies. (see last commit) For anomalies it was not possible because of negative values.
Can you set the same lag extent for all variables? I think [-40,40] may be sufficient. Furthermore, can you put these functions into an external python file and rather import them?
Syntax for running papermill: papermill input_notebook.ipynb output_notebook.ipynb -p parameter_name parameter_value
Example code: papermill analysis_per_station.ipynb analysis_Esrange.ipynb -p station 'Esrange'
Will be followed by a notebook for analysis of one station each. Automation should ensure that this works for each of the regarded stations. Closing #2 and #12.