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%matplotlib inline


    

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import sys
import os
from pathlib import Path
import math


    

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import matplotlib.pyplot as plt
import seaborn as sns
sns.set_context(context="talk", font_scale=1, rc=None)
sns.set_style('whitegrid')


    

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# Load the "autoreload" extension
%load_ext autoreload
%autoreload 2


    

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import pandas as pd
from pandas import IndexSlice as idx
import numpy as np

from collections import OrderedDict

from munch import Munch
from tqdm import tqdm


    

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# import crunchers.sklearn_helpers.exploration as expl
# import crunchers.statsmodels_helpers.lazy_stats as stats
# import crunchers.pandas_helpers.transformations as xform


    

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import {{ cookiecutter.project_name }}.data.load_recode as loading


    

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# %%javascript
# var kernel = IPython.notebook.kernel;
# var thename = window.document.getElementById("notebook_name").innerHTML;
# var command = "IPYNB_NAME = " + "'"+thename+"'";
# kernel.execute(command);


    

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# rv = Munch()

# rv.rep_id = 'yyy-mm-dd'
# rv.desc = 'blank'
# rv.ipnb = Path('{IPYNB_NAME}.ipynb'.format(IPYNB_NAME=IPYNB_NAME))
# rv.html = '{ipnb}.html'.format(ipnb=rv.ipnb.stem)
# rv.files = '{ipnb}_files'.format(ipnb=rv.ipnb.stem)
# rv.reprt_dir = '../../reports/{IPYNB_NAME}/'.format(IPYNB_NAME=IPYNB_NAME)


    

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data_ = "../data/raw/file.csv"


    

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# rv.reprt_dir


    

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# !jupyter nbconvert --to html_toc $rv.ipnb


    

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# !mkdir -p $rv.reprt_dir
## !mv -f $rv.html $rv.files $rv.reprt_dir


    

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