Riley Brady bradyrx

## remove_output.py
"""
Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ]
Modified from remove_output by Minrk

"""
import sys
import io
import os
from IPython.nbformat.current import read, write

## python_decorator_guide.md

      
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                Zearin
                / python_decorator_guide.md
            
            
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              July 24, 2024 03:06
            
              
                The best explanation of Python decorators I’ve ever seen. (An archived answer from StackOverflow.)
              
          
    NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

Q: How can I make a chain of function decorators in Python?


If you are not into long explanations, see [Paolo Bergantino’s answer][2].

  
## temperatureCircle.py
#
# Hi all,
# this is the Python code I used to make the visualization "Temperature circle"
# (https://twitter.com/anttilip/status/892318734244884480).
# Please be aware that originally I wrote this for my tests only so the
# code was not ment to be published and is a mess and has no comments.
# Feel free to improve, modify, do whatever you want with it. If you decide
# to use the code, make an improved version of it, or it is useful for you
# in some another way I would be happy to know about it. You can contact me
# for example in Twitter (@anttilip). Unchecked demo data (no quarantees)

## demo_plotting.ipynb

      
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                matt-long
                / demo_plotting.ipynb
            
            
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              December 21, 2020 18:06
            
              
                Plotting the POP model
              
          
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## pangeo_cmip6_heatmap.py
import pandas as pd
from matplotlib import pyplot as plt
import numpy as np
%matplotlib inline

url = 'https://storage.googleapis.com/pangeo-cmip6/pangeo-cmip6-zarr-consolidated-stores.csv'
df = pd.read_csv(url)
run_count = df[df.activity_id == 'CMIP'].groupby(['experiment_id', 'source_id']).zstore.count()
rcu = run_count.unstack(level=-1)
	"""
	Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ]
	Modified from remove_output by Minrk

	"""
	import sys
	import io
	import os
	from IPython.nbformat.current import read, write
	#
	# Hi all,
	# this is the Python code I used to make the visualization "Temperature circle"
	# (https://twitter.com/anttilip/status/892318734244884480).
	# Please be aware that originally I wrote this for my tests only so the
	# code was not ment to be published and is a mess and has no comments.
	# Feel free to improve, modify, do whatever you want with it. If you decide
	# to use the code, make an improved version of it, or it is useful for you
	# in some another way I would be happy to know about it. You can contact me
	# for example in Twitter (@anttilip). Unchecked demo data (no quarantees)
	import pandas as pd
	from matplotlib import pyplot as plt
	import numpy as np
	%matplotlib inline

	url = 'https://storage.googleapis.com/pangeo-cmip6/pangeo-cmip6-zarr-consolidated-stores.csv'
	df = pd.read_csv(url)
	run_count = df[df.activity_id == 'CMIP'].groupby(['experiment_id', 'source_id']).zstore.count()
	rcu = run_count.unstack(level=-1)