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Metadata-Version: 1.0 | ||
Name: dziban | ||
Version: 0.0.1 | ||
Summary: UNKNOWN | ||
Home-page: UNKNOWN | ||
Author: UNKNOWN | ||
Author-email: UNKNOWN | ||
License: BSD 3-Clause License | ||
Description: # dziban | ||
Platform: UNKNOWN |
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README.md | ||
dziban/__init__.py | ||
dziban/encoding.py | ||
dziban/mark.py | ||
dziban/viz.py | ||
dziban.egg-info/PKG-INFO | ||
dziban.egg-info/SOURCES.txt | ||
dziban.egg-info/dependency_links.txt | ||
dziban.egg-info/top_level.txt |
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|
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dziban |
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class VizEncoding: | ||
def encoding( | ||
self, | ||
x=None, | ||
y=None, | ||
x2=None, | ||
y2=None, | ||
longtitude=None, | ||
latitude=None, | ||
color=None, | ||
opacity=None, | ||
fillOpacity=None, | ||
strokeOpacity=None, | ||
strokeWidth=None, | ||
size=None, | ||
shape=None, | ||
text=None, | ||
tooltip=None, | ||
href=None, | ||
key=None, | ||
order=None, | ||
detail=None, | ||
row=None, | ||
column=None, | ||
*argv | ||
): | ||
self._encoding = { | ||
'x': x, | ||
'y': y, | ||
'x2': x2, | ||
'y2': y2, | ||
'longtitude': longtitude, | ||
'latitude': latitude, | ||
'color': color, | ||
'opacity': opacity, | ||
'fillOpacity': fillOpacity, | ||
'strokeOpacity': strokeOpacity, | ||
'strokeWidth': strokeWidth, | ||
'size': size, | ||
'shape': shape, | ||
'text': text, | ||
'tooltip': tooltip, | ||
'href': href, | ||
'key': key, | ||
'order': order, | ||
'detail': detail, | ||
'row': row, | ||
'column': column | ||
} | ||
|
||
self._encoding_wild = argv | ||
return self | ||
|
||
def build_encoding(self): | ||
encoding = {} | ||
for channel, enc in self._encoding.items(): | ||
if (enc is not None): | ||
encoding[channel] = enc | ||
return encoding |
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class VizMark: | ||
def mark_area(self): | ||
self._mark = 'area' | ||
return self | ||
|
||
def mark_bar(self): | ||
self._mark = 'bar' | ||
return self | ||
|
||
def mark_circle(self): | ||
self._mark = 'circle' | ||
return self | ||
|
||
def mark_line(self): | ||
self._mark = 'line' | ||
return self | ||
|
||
def mark_point(self): | ||
self._mark = 'point' | ||
return self | ||
|
||
def mark_rect(self): | ||
self._mark = 'rect' | ||
return self | ||
|
||
def mark_rule(self): | ||
self._mark = 'rule' | ||
return self | ||
|
||
def mark_square(self): | ||
self._mark = 'square' | ||
return self | ||
|
||
def mark_text(self): | ||
self._mark = 'text' | ||
return self | ||
|
||
def mark_tick(self): | ||
self._mark = 'tick' | ||
return self | ||
|
||
def mark_geoshape(self): | ||
self._mark = 'geoshape' | ||
return self | ||
|
||
def build_mark(self): | ||
return self._mark |
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from typing import List | ||
|
||
from dziban.mark import VizMark | ||
from dziban.encoding import VizEncoding | ||
|
||
class Viz(VizMark, VizEncoding): | ||
def __init__(self): | ||
return | ||
|
||
def build(self): | ||
return { | ||
'mark': self.build_mark(), | ||
'encoding': self.build_encoding() | ||
} |
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103
examples/.ipynb_checkpoints/scatterplot-checkpoint.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# ScatterPlot" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from dziban.viz import Viz\n", | ||
"from vega_datasets import data\n", | ||
"from vega import VegaLite" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"## Declare" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 7, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"spec = Viz(data.cars.url).mark_bar().encoding(x='Horsepower', y='Acceleration').build()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 8, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"ename": "TypeError", | ||
"evalue": "Object of type Cars is not JSON serializable", | ||
"output_type": "error", | ||
"traceback": [ | ||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | ||
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", | ||
"\u001b[0;32m/anaconda3/lib/python3.7/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m 968\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 969\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mmethod\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 970\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minclude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexclude\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 971\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 972\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | ||
"\u001b[0;32m/anaconda3/lib/python3.7/site-packages/vega/base.py\u001b[0m in \u001b[0;36m_repr_mimebundle_\u001b[0;34m(self, include, exclude)\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[0mid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0muuid\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muuid4\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 40\u001b[0m return (\n\u001b[0;32m---> 41\u001b[0;31m \u001b[0;34m{\u001b[0m\u001b[0;34m'application/javascript'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_generate_js\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 42\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'jupyter-vega'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'#{0}'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 43\u001b[0m )\n", | ||
"\u001b[0;32m/anaconda3/lib/python3.7/site-packages/vega/base.py\u001b[0m in \u001b[0;36m_generate_js\u001b[0;34m(self, id, **kwds)\u001b[0m\n\u001b[1;32m 29\u001b[0m payload = template.format(\n\u001b[1;32m 30\u001b[0m \u001b[0mid\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 31\u001b[0;31m \u001b[0mspec\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mspec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 32\u001b[0m \u001b[0mopt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdumps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrender_type\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | ||
"\u001b[0;32m/anaconda3/lib/python3.7/json/__init__.py\u001b[0m in \u001b[0;36mdumps\u001b[0;34m(obj, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)\u001b[0m\n\u001b[1;32m 229\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mindent\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mseparators\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 230\u001b[0m default is None and not sort_keys and not kw):\n\u001b[0;32m--> 231\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_default_encoder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 232\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 233\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mJSONEncoder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | ||
"\u001b[0;32m/anaconda3/lib/python3.7/json/encoder.py\u001b[0m in \u001b[0;36mencode\u001b[0;34m(self, o)\u001b[0m\n\u001b[1;32m 197\u001b[0m \u001b[0;31m# exceptions aren't as detailed. The list call should be roughly\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 198\u001b[0m \u001b[0;31m# equivalent to the PySequence_Fast that ''.join() would do.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 199\u001b[0;31m \u001b[0mchunks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miterencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_one_shot\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 200\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 201\u001b[0m \u001b[0mchunks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", | ||
"\u001b[0;32m/anaconda3/lib/python3.7/json/encoder.py\u001b[0m in \u001b[0;36miterencode\u001b[0;34m(self, o, _one_shot)\u001b[0m\n\u001b[1;32m 255\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkey_separator\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitem_separator\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort_keys\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 256\u001b[0m self.skipkeys, _one_shot)\n\u001b[0;32m--> 257\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_iterencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 258\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 259\u001b[0m def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,\n", | ||
"\u001b[0;32m/anaconda3/lib/python3.7/json/encoder.py\u001b[0m in \u001b[0;36mdefault\u001b[0;34m(self, o)\u001b[0m\n\u001b[1;32m 177\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 178\u001b[0m \"\"\"\n\u001b[0;32m--> 179\u001b[0;31m raise TypeError(f'Object of type {o.__class__.__name__} '\n\u001b[0m\u001b[1;32m 180\u001b[0m f'is not JSON serializable')\n\u001b[1;32m 181\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", | ||
"\u001b[0;31mTypeError\u001b[0m: Object of type Cars is not JSON serializable" | ||
] | ||
}, | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"<vega.vegalite.VegaLite at 0x1217b7160>" | ||
] | ||
}, | ||
"execution_count": 8, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"VegaLite(spec)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.7.0" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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vega | ||
vega_datasets | ||
jupyter | ||
pandas | ||
draco |
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from distutils.core import setup | ||
|
||
setup( | ||
name='dziban', | ||
version='0.0.1', | ||
packages=['dziban'], | ||
license='BSD 3-Clause License', | ||
long_description=open('README.md').read(), | ||
) |