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tmux cheatsheet

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from collections import namedtuple
def convert(dictionary):
    return namedtuple('GenericDict', dictionary.keys())(**dictionary)

"""
>>> d = dictionary(a=1, b='b', c=[3])
>>> named = convert(d)
>>> named.a == d.a
True
>>> named.b == d.b

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#https://stackoverflow.com/questions/31845258/pandas-multi-index-plotting

import pandas as pd
import matplotlib.pyplot as plt
from itertools import groupby
import numpy as np 
%matplotlib inline

groups = ('Group 1', 'Group 2')
sexes = ('Male', 'Female')

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fig, ax = plt.subplots(len(set(df_all.structure))-1,len(df_all.columns)-1,figsize=(30.0, 30.0), sharey=False) #, tight_layout=True, sharex=True,

for j, struc in enumerate(set(df_all.structure)): #19 structures     
    df_onestruc=df_all[df_all.structure==struc]
    df_onestruc.index=df_onestruc['index']
    df_onestruc=df_onestruc.drop(['structure', 'index'], axis=1) 
    for i, col in enumerate(df_onestruc.columns):  # 18 parameters        
        ax[i,j].plot(df_onestruc[col])
        ax[i,j].grid(True)
        ax[i,j].get_yaxis().set_ticks([]) #.set_visible(False)

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Reading & Writing GZIP Files in Python

I have been testing various ways to read and write text files with GZIP in Python. There were a lot of uninteresting results, but there were two I thought were worth sharing.

Writing GZIP files

If you have a big list of strings to write to a file, you might be tempted to do:

f = gzip.open(out_path, 'wb')

for line in lines: