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Longo recanduit natorum iugulum Perrhaebum similis iniqua

Levat fatum et huic tridente admota

Lorem markdownum vinaque. Tereus est illa soletur accipe miserabilis artus sua sacrata meis. Et clipeus Iuppiter et cetera deorum, erat niveo Agyrtes et enim etiam testantia tigridis fama. Poteras potuissent fuit depulerat moriri.

O et cavis: arma et bis ante ter. Virum et artus, nitor, esse tamen, sacras bonis signisque pulsa Tenedos vestigia colentibus, et hospes conata. Et successore vagos et vocabant datis procellae cum sedes, sit turbant quater sanguine, ex femina scopulus proferre! In et dei extremas, me terram animis Perseus, quicquam illa. Heres dolore utque nomen maior onerique et rursusque, ferro cannas Eumenides mirum curvatura conata gestum.

Identifier: 0ab3b683-e496-4c88-b613-836618444dbc Name: example.com-notebook-3 Dataset: notebook Origin: example.com Space: Time: Grain: Variant: Version: 3 Created: 2019-03-20T00:26:20 Giturl: https://github.com/Metatab/metatab-packages.git Section: Documentation|Title|Description| Section: Contacts|Email|Organization|Url Wrangler: Eric Busboom .Email: eric@civicknowledge.com .Organization: Civic Knowledge .Url: http://civicknowledge.com



In [1]:

    
import seaborn as sns
import metapack as mp
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display 

%matplotlib inline
%load_ext metapack.jupyter.magic
sns.set_context('notebook')
mp.jupyter.init()
mp.jupyter.convert.convert_notebook_to_metadata()



In [2]:

    
# Code goes after metadata, before schema
df = pd.DataFrame({
    'rand': np.random.randint(0,100,1000)
})

Section: Schema|DataType|AltName|Description