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import numpy as np
import pandas as pd
import statsmodels.api as sm
from bokeh.application import Application
from bokeh.application.handlers import FunctionHandler
from bokeh.io import output_notebook, show
from bokeh.layouts import gridplot
from bokeh.models import (
    ColumnDataSource, CustomJS, HoverTool, LinearAxis, Select
)

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import os
import sys

from distutils.core import setup
from distutils.dir_util import copy_tree
from py2exe.build_exe import py2exe

import glob
import zlib
import shutil

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#
# 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)

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import numpy as np 
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
import seaborn as sns

from itertools import combinations, cycle, product

mpl_palette=['r', 'g', 'b', 'c', 'm','y']
cblind_palette=[(230,159,0),(86,180,233),(0,158,115),(240,228,66),(0,114,178),(213,94,0),(204,121,167)]

lukasz-migas

#!/usr/bin/env python
"""strip outputs from an IPython Notebook

Opens a notebook, strips its output, and writes the outputless version to the original file.

Useful mainly as a git filter or pre-commit hook for users who don't want to track output in VCS.

This does mostly the same thing as the `Clear All Output` command in the notebook UI.

LICENSE: Public Domain