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from __future__ import print_function, division
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline

import numpy as np
import pandas as pd
import textwrap
import os
import sys
import warnings
warnings.filterwarnings('ignore')

# special things
from pivottablejs import pivot_ui
from ipywidgets import FloatSlider, interactive, IntSlider
from scipy import interpolate

# sql
%load_ext sql_magic
import sqlalchemy
import sqlite3
from sqlalchemy import create_engine
sqlite_engine = create_engine('sqlite://')

# autoreload
%load_ext autoreload
%autoreload 1
# %aimport module_to_reload

# ehh...
# import bqplot.pyplot as plt
import ipyvolume as ipv
import altair as alt
from vega_datasets import data

import seaborn as sns
sns.set_context('poster', font_scale=1.3)



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a = "hi"
b  = np.array([1, 2, 4, 6])



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Notebook Extensions

Check out nbdime

https://github.com/jupyter/nbdime

and the documentation about adding the nbdime https://nbdime.readthedocs.io/en/latest/extensions.html

ToC(2)

ExecuteTime



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print("hello world")









    



hello world



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a = 4
report = "FAIL"

Python Markdown

The value of a is {{a}}. Useful for anything you want to report, this: {{report}}.

Code prettify

Copy/paste the following into the "json defining library calls required to load the kernel-specific prettifying modules, and the prefix & postfix for the json-format string required to make the prettifying call." box.

{
  "python": {
    "library": "import json\ndef black_reformat(cell_text):\n    import black\n    import re\n    cell_text = re.sub('^%', '#%#', cell_text, flags=re.M)\n    try:\n        reformated_text = black.format_str(cell_text, 88)\n    except TypeError:\n        reformated_text = black.format_str(cell_text, mode=black.FileMode(line_length=88))\n    return re.sub('^#%#', '%', reformated_text, flags=re.M)",
    "prefix": "print(json.dumps(black_reformat(u",
    "postfix": ")))"
  },
  "r": {
    "library": "library(formatR)\nlibrary(jsonlite)",
    "prefix": "cat(toJSON(paste(tidy_source(text=",
    "postfix": ", output=FALSE)[['text.tidy']], collapse='\n')))"
  },
  "javascript": {
    "library": "jsbeautify = require('js-beautify')",
    "prefix": "console.log(JSON.stringify(jsbeautify.js_beautify(",
    "postfix": ")));"
  }
}

From: https://neuralcoder.science/Black-Jupyter/



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weight_categories = [    "vlow_weight",    "low_weight",
    "mid_weight",    "high_weight",
    "vhigh_weight",]

players['weightclass'] = pd.qcut(players['weight'],
     len(weight_categories), weight_categories)



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weight_categories = [
    "vlow_weight",
    "low_weight",
    "mid_weight",
    "high_weight",
    "vhigh_weight",
]

players["weightclass"] = pd.qcut(
    players["weight"], len(weight_categories), weight_categories
)



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Collapsible Headings

Notify

In theory, this will give you a browser notification if your kernel has been busy for at least N seconds (after you give permission).



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import time
time.sleep(10)

Outside Notebooks

Tree Filter

Filtered home screen



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