This is the Title of the Notebook

In [1]:

    

print ("Here is some text")


    

    




Here is some text

In [2]:

    

x = 10
x


    

    
Out[2]:





10

In [3]:

    

%load_ext metatab
%matplotlib inline
%mt_lib_dir lib

import pandas as pd
from os.path import exists
from os import remove


    

In [4]:

    

%%metatab -p . 
Origin: example.com
Dataset: foobar.com 
Identifier: de097279-28ef-42f5-a4f5-0eaac53b7dc4
Name: example.com-foobar.com


    

In [5]:

    

assert _notebook_dir.endswith('metatab-py/test-data/notebooks'), _notebook_dir
assert _package_dir.endswith('metatab-py/test-data/notebooks'), _package_dir


    

In [6]:

    

_notebook_dir


    

    
Out[6]:





'/Volumes/Storage/proj/virt/metatab36/metatab-py/test-data/notebooks'

In [7]:

    

%%metatab -p /tmp/foo
Origin: example.com
Dataset: foobar.com 
Identifier: de097279-28ef-42f5-a4f5-0eaac53b7dc4
Name: example.com-foobar.com


    

In [8]:

    

assert _notebook_dir.endswith('metatab-py/test-data/notebooks')
assert _package_dir.endswith('/tmp/foo')


    

In [9]:

    

%%metatab
Origin: example.com
Dataset: foobar.com 
Identifier: de097279-28ef-42f5-a4f5-0eaac53b7dc4
Name: example.com-foobar.com 

Section: Contacts
Wrangler: Eric Busboom
Wrangler.Email: eric@civicknowledge.com

Section: References
Reference: http://public.source.civicknowledge.com/example.com/sources/renter_cost.csv
Reference.Name: reference
Reference.Title: The First Example Data File
Reference.Startline: 5
Reference.HeaderLines: 3,4
    
Section: Resources
Datafile: http://public.source.civicknowledge.com/example.com/sources/renter_cost.csv
Datafile.Name: ext_resource
Datafile.Title: An Extern CSV Resource
Datafile.Startline: 5
Datafile.HeaderLines: 3,4


    

In [10]:

    

assert _notebook_dir.endswith('metatab-py/test-data/notebooks')
assert _package_dir.endswith('metatab-py/test-data/notebooks/example.com-foobar.com')


    

In [11]:

    

from metatab.pands import MetatabDataFrame

odf = MetatabDataFrame({ 'cola':range(10), 'colb': range(10)})

odf.name = 'income_homeval'
odf.title = 'Income and Home Value Records for San Diego County'
odf.cola.description = 'Household income'
odf.colb.description = 'Home value'

%mt_add_dataframe odf  --materialize

cols = list(mt_pkg.resource('income_homeval').columns())
assert 'cola' in [ c['name'] for c in cols]
assert 'colb' in [ c['name'] for c in cols]


    

In [12]:

    

%%bash
echo "This is a Bash cell"
touch /tmp/footouched


    

    




This is a Bash cell

In [13]:

    

assert exists('/tmp/footouched')
remove('/tmp/footouched')
assert not exists('/tmp/footouched')


    

In [14]:

    

!ls


    

    




BibliographyTest.ipynb	ImportTest.ipynb	example.com-foobar.com
CellExecuteError.ipynb	MagicsTest.ipynb	lib
ConversionTest.ipynb	SimpleMagicsTest.ipynb

In [15]:

    

import matplotlib.pyplot as plt
import numpy as np

t = np.arange(0.0, 2.0, 0.01)
s = 1 + np.sin(2*np.pi*t)
plt.plot(t, s)

plt.xlabel('time (s)')
plt.ylabel('voltage (mV)')
plt.title('About as simple as it gets, folks')
plt.grid(True)
plt.show()


    

In [16]:

    

!pwd


    

    




/Volumes/Storage/proj/virt/metatab36/metatab-py/test-data/notebooks

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