Hello community,
here is the log from the commit of package python-vega_datasets for
openSUSE:Factory checked in at 2018-12-24 11:48:01
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-vega_datasets (Old)
and /work/SRC/openSUSE:Factory/.python-vega_datasets.new.28833 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-vega_datasets"
Mon Dec 24 11:48:01 2018 rev:2 rq:660759 version:0.7.0
Changes:
--------
---
/work/SRC/openSUSE:Factory/python-vega_datasets/python-vega_datasets.changes
2018-05-17 19:33:29.178895733 +0200
+++
/work/SRC/openSUSE:Factory/.python-vega_datasets.new.28833/python-vega_datasets.changes
2018-12-24 11:48:01.517100466 +0100
@@ -1,0 +2,8 @@
+Sat Dec 22 02:25:08 UTC 2018 - Todd R <toddrme2...@gmail.com>
+
+- Update to 0.7.0
+ * Add wheat to local datasets
+- Update to 0.6.0
+ * Add us-unemployment local dataset
+
+-------------------------------------------------------------------
Old:
----
vega_datasets-0.5.0.tar.gz
New:
----
vega_datasets-0.7.0.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-vega_datasets.spec ++++++
--- /var/tmp/diff_new_pack.Tjcebf/_old 2018-12-24 11:48:02.077099975 +0100
+++ /var/tmp/diff_new_pack.Tjcebf/_new 2018-12-24 11:48:02.077099975 +0100
@@ -18,7 +18,7 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
Name: python-vega_datasets
-Version: 0.5.0
+Version: 0.7.0
Release: 0
Summary: A Python package for offline access to Vega datasets
License: MIT
++++++ vega_datasets-0.5.0.tar.gz -> vega_datasets-0.7.0.tar.gz ++++++
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/CHANGES.md
new/vega_datasets-0.7.0/CHANGES.md
--- old/vega_datasets-0.5.0/CHANGES.md 2018-05-15 19:20:02.000000000 +0200
+++ new/vega_datasets-0.7.0/CHANGES.md 2018-12-07 17:26:34.000000000 +0100
@@ -1,6 +1,14 @@
Change Log
==========
+Release v0.7 (Dec 7, 2018)
+-------------------------
+- Add wheat to local datasets
+
+Release v0.6 (November 20, 2018)
+-------------------------
+- Add us-unemployment local dataset
+
Release v0.5 (May 15, 2018)
---------------------------
- Add iowa-electricity local dataset
@@ -33,4 +41,4 @@
-------------------------------
- Initial release with simple API
-- bundled datasets: iris
\ No newline at end of file
+- bundled datasets: iris
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/PKG-INFO
new/vega_datasets-0.7.0/PKG-INFO
--- old/vega_datasets-0.5.0/PKG-INFO 2018-05-15 19:21:32.000000000 +0200
+++ new/vega_datasets-0.7.0/PKG-INFO 2018-12-07 17:29:01.000000000 +0100
@@ -1,15 +1,16 @@
-Metadata-Version: 1.2
+Metadata-Version: 2.1
Name: vega_datasets
-Version: 0.5.0
+Version: 0.7.0
Summary: A Python package for offline access to Vega datasets
Home-page: http://github.com/altair-viz/vega_datasets
Author: Jake VanderPlas
Author-email: jake...@gmail.com
+Maintainer: Jake VanderPlas
+Maintainer-email: jake...@gmail.com
License: MIT
Download-URL: http://github.com/altair-viz/vega_datasets
Project-URL: Bug Reports, https://github.com/altair-viz/vega_datasets/issues
Project-URL: Source, https://github.com/altair-viz/vega_datasets
-Description-Content-Type: text/markdown
Description: # vega_datasets
[](https://travis-ci.org/altair-viz/vega_datasets)
@@ -68,11 +69,11 @@
## Available Datasets
- To list all the available datsets, use ``list_datsets``:
+ To list all the available datsets, use ``list_datasets``:
```python
>>> data.list_datasets()
- ['7zip', 'airports', 'anscombe', 'barley', 'birdstrikes', 'budget',
'budgets', 'burtin', 'cars', 'climate', 'co2-concentration', 'countries',
'crimea', 'disasters', 'driving', 'earthquakes', 'ffox', 'flare',
'flare-dependencies', 'flights-10k', 'flights-200k', 'flights-20k',
'flights-2k', 'flights-3m', 'flights-5k', 'flights-airport', 'gapminder',
'gapminder-health-income', 'gimp', 'github', 'graticule', 'income', 'iris',
'jobs', 'londonBoroughs', 'londonCentroids', 'londonTubeLines',
'lookup_groups', 'lookup_people', 'miserables', 'monarchs', 'movies',
'normal-2d', 'obesity', 'points', 'population',
'population_engineers_hurricanes', 'seattle-temps', 'seattle-weather',
'sf-temps', 'sp500', 'stocks', 'udistrict', 'unemployment',
'unemployment-across-industries', 'us-10m', 'us-state-capitals', 'weather',
'weball26', 'wheat', 'world-110m', 'zipcodes']
+ ['7zip', 'airports', 'anscombe', 'barley', 'birdstrikes', 'budget',
'budgets', 'burtin', 'cars', 'climate', 'co2-concentration', 'countries',
'crimea', 'disasters', 'driving', 'earthquakes', 'ffox', 'flare',
'flare-dependencies', 'flights-10k', 'flights-200k', 'flights-20k',
'flights-2k', 'flights-3m', 'flights-5k', 'flights-airport', 'gapminder',
'gapminder-health-income', 'gimp', 'github', 'graticule', 'income', 'iris',
'jobs', 'londonBoroughs', 'londonCentroids', 'londonTubeLines',
'lookup_groups', 'lookup_people', 'miserables', 'monarchs', 'movies',
'normal-2d', 'obesity', 'points', 'population',
'population_engineers_hurricanes', 'seattle-temps', 'seattle-weather',
'sf-temps', 'sp500', 'stocks', 'udistrict', 'unemployment',
'unemployment-across-industries', 'us-10m', 'us-employment',
'us-state-capitals', 'weather', 'weball26', 'wheat', 'world-110m', 'zipcodes']
```
To list local datasets (i.e. those that are bundled with the package
and can be used without a web connection), use the ``local_data`` object
instead:
@@ -81,7 +82,7 @@
>>> from vega_datasets import local_data
>>> local_data.list_datasets()
- ['airports', 'anscombe', 'barley', 'burtin', 'cars', 'crimea',
'driving', 'iowa-electricity', 'iris', 'seattle-temps', 'seattle-weather',
'sf-temps', 'stocks']
+ ['airports', 'anscombe', 'barley', 'burtin', 'cars', 'crimea',
'driving', 'iowa-electricity', 'iris', 'seattle-temps', 'seattle-weather',
'sf-temps', 'stocks', 'us-employment', "wheat"]
```
We plan to add more local datasets in the future, subject to size and
licensing constraints. See the [local datasets
issue](https://github.com/altair-viz/vega_datasets/issues/1) if you would like
to help with this.
@@ -107,3 +108,5 @@
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Description-Content-Type: text/markdown
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/README.md
new/vega_datasets-0.7.0/README.md
--- old/vega_datasets-0.5.0/README.md 2018-05-14 19:35:15.000000000 +0200
+++ new/vega_datasets-0.7.0/README.md 2018-12-07 17:25:03.000000000 +0100
@@ -56,11 +56,11 @@
## Available Datasets
-To list all the available datsets, use ``list_datsets``:
+To list all the available datsets, use ``list_datasets``:
```python
>>> data.list_datasets()
-['7zip', 'airports', 'anscombe', 'barley', 'birdstrikes', 'budget', 'budgets',
'burtin', 'cars', 'climate', 'co2-concentration', 'countries', 'crimea',
'disasters', 'driving', 'earthquakes', 'ffox', 'flare', 'flare-dependencies',
'flights-10k', 'flights-200k', 'flights-20k', 'flights-2k', 'flights-3m',
'flights-5k', 'flights-airport', 'gapminder', 'gapminder-health-income',
'gimp', 'github', 'graticule', 'income', 'iris', 'jobs', 'londonBoroughs',
'londonCentroids', 'londonTubeLines', 'lookup_groups', 'lookup_people',
'miserables', 'monarchs', 'movies', 'normal-2d', 'obesity', 'points',
'population', 'population_engineers_hurricanes', 'seattle-temps',
'seattle-weather', 'sf-temps', 'sp500', 'stocks', 'udistrict', 'unemployment',
'unemployment-across-industries', 'us-10m', 'us-state-capitals', 'weather',
'weball26', 'wheat', 'world-110m', 'zipcodes']
+['7zip', 'airports', 'anscombe', 'barley', 'birdstrikes', 'budget', 'budgets',
'burtin', 'cars', 'climate', 'co2-concentration', 'countries', 'crimea',
'disasters', 'driving', 'earthquakes', 'ffox', 'flare', 'flare-dependencies',
'flights-10k', 'flights-200k', 'flights-20k', 'flights-2k', 'flights-3m',
'flights-5k', 'flights-airport', 'gapminder', 'gapminder-health-income',
'gimp', 'github', 'graticule', 'income', 'iris', 'jobs', 'londonBoroughs',
'londonCentroids', 'londonTubeLines', 'lookup_groups', 'lookup_people',
'miserables', 'monarchs', 'movies', 'normal-2d', 'obesity', 'points',
'population', 'population_engineers_hurricanes', 'seattle-temps',
'seattle-weather', 'sf-temps', 'sp500', 'stocks', 'udistrict', 'unemployment',
'unemployment-across-industries', 'us-10m', 'us-employment',
'us-state-capitals', 'weather', 'weball26', 'wheat', 'world-110m', 'zipcodes']
```
To list local datasets (i.e. those that are bundled with the package and can
be used without a web connection), use the ``local_data`` object instead:
@@ -69,7 +69,7 @@
>>> from vega_datasets import local_data
>>> local_data.list_datasets()
-['airports', 'anscombe', 'barley', 'burtin', 'cars', 'crimea', 'driving',
'iowa-electricity', 'iris', 'seattle-temps', 'seattle-weather', 'sf-temps',
'stocks']
+['airports', 'anscombe', 'barley', 'burtin', 'cars', 'crimea', 'driving',
'iowa-electricity', 'iris', 'seattle-temps', 'seattle-weather', 'sf-temps',
'stocks', 'us-employment', "wheat"]
```
We plan to add more local datasets in the future, subject to size and
licensing constraints. See the [local datasets
issue](https://github.com/altair-viz/vega_datasets/issues/1) if you would like
to help with this.
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/setup.py
new/vega_datasets-0.7.0/setup.py
--- old/vega_datasets-0.5.0/setup.py 2018-05-15 18:54:26.000000000 +0200
+++ new/vega_datasets-0.7.0/setup.py 2018-11-21 04:20:31.000000000 +0100
@@ -59,6 +59,7 @@
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
+ 'Programming Language :: Python :: 3.7',
],
project_urls={
'Bug Reports': 'https://github.com/altair-viz/vega_datasets/issues',
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/vega_datasets/__init__.py
new/vega_datasets-0.7.0/vega_datasets/__init__.py
--- old/vega_datasets-0.5.0/vega_datasets/__init__.py 2018-05-15
19:20:16.000000000 +0200
+++ new/vega_datasets-0.7.0/vega_datasets/__init__.py 2018-12-07
17:26:51.000000000 +0100
@@ -1,4 +1,4 @@
from vega_datasets.core import DataLoader, LocalDataLoader
data = DataLoader()
local_data = LocalDataLoader()
-__version__ = '0.5.0'
+__version__ = '0.7.0'
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/vega_datasets-0.5.0/vega_datasets/_data/us-employment.csv
new/vega_datasets-0.7.0/vega_datasets/_data/us-employment.csv
--- old/vega_datasets-0.5.0/vega_datasets/_data/us-employment.csv
1970-01-01 01:00:00.000000000 +0100
+++ new/vega_datasets-0.7.0/vega_datasets/_data/us-employment.csv
2018-11-21 04:07:50.000000000 +0100
@@ -0,0 +1,121 @@
+month,nonfarm,private,goods_producing,service_providing,private_service_providing,mining_and_logging,construction,manufacturing,durable_goods,nondurable_goods,trade_transportation_utilties,wholesale_trade,retail_trade,transportation_and_warehousing,utilities,information,financial_activities,professional_and_business_services,education_and_health_services,leisure_and_hospitality,other_services,government,nonfarm_change
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+2011-11-01,132723,110752,18187,114536,92565,824,5593,11770,7331,4439,25232,5588.5,14751.3,4339.4,552.6,2676,7719,17541,20496,13511,5390,21971,145
+2011-12-01,132924,110970,18244,114680,92726,831,5611,11802,7368,4434,25247,5605.1,14745.5,4344.3,552.2,2678,7727,17603,20530,13538,5403,21954,201
+2012-01-01,133272,111326,18304,114968,93022,840,5626,11838,7398,4440,25347,5620.5,14813.1,4360.3,553.3,2665,7736,17686,20574,13600,5414,21946,348
+2012-02-01,133505,111558,18334,115171,93224,845,5629,11860,7420,4440,25352,5630.3,14784.4,4384.5,553.2,2676,7744,17739,20657,13641,5415,21947,233
+2012-03-01,133769,111826,18372,115397,93454,849,5625,11898,7446,4452,25407,5640.1,14820,4393.5,553.6,2678,7768,17784,20689,13706,5422,21943,264
+2012-04-01,133841,111910,18384,115457,93526,850,5618,11916,7461,4455,25411,5652.3,14831.3,4374.2,553.4,2679,7771,17832,20707,13709,5417,21931,72
+2012-05-01,133958,112047,18386,115572,93661,855,5604,11927,7471,4456,25457,5663.1,14829.4,4411,553.2,2685,7781,17869,20747,13705,5417,21911,117
+2012-06-01,134026,112096,18411,115615,93685,854,5621,11936,7480,4456,25445,5671.9,14810,4409.2,554,2674,7781,17921,20738,13702,5424,21930,68
+2012-07-01,134182,112269,18447,115735,93822,851,5632,11964,7503,4461,25450,5679.2,14803.7,4420.4,546.6,2680,7779,17972,20773,13735,5433,21913,156
+2012-08-01,134355,112439,18459,115896,93980,851,5648,11960,7492,4468,25483,5685.1,14811,4432.5,554.2,2676,7787,17998,20801,13804,5431,21916,173
+2012-09-01,134549,112624,18461,116088,94163,846,5661,11954,7483,4471,25514,5676.3,14845.9,4437,554.4,2670,7801,18023,20841,13872,5442,21925,194
+2012-10-01,134702,112799,18472,116230,94327,837,5674,11961,7485,4476,25560,5691.6,14867.1,4447.8,553.9,2667,7809,18081,20881,13883,5446,21903,153
+2012-11-01,134832,112949,18477,116355,94472,843,5684,11950,7488,4462,25614,5693.5,14930.1,4439.2,551.5,2674,7816,18122,20887,13910,5449,21883,130
+2012-12-01,135075,113188,18532,116543,94656,848,5724,11960,7505,4455,25633,5704,14905.1,4472.6,551.5,2675,7826,18157,20935,13978,5452,21887,243
+2013-01-01,135282,113413,18580,116702,94833,851,5746,11983,7515,4468,25679,5715.5,14928.6,4482.7,551.8,2661,7836,18206,20956,14037,5458,21869,207
+2013-02-01,135547,113666,18638,116909,95028,858,5784,11996,7523,4473,25679,5711.1,14941.7,4474.3,552.2,2699,7852,18302,20958,14082,5456,21881,265
+2013-03-01,135703,113833,18660,117043,95173,859,5802,11999,7531,4468,25680,5713.7,14941.4,4473.9,550.6,2699,7857,18366,21007,14113,5451,21870,156
+2013-04-01,135882,114013,18653,117229,95360,857,5796,12000,7534,4466,25710,5714.9,14961.7,4480.7,552.3,2696,7872,18421,21054,14152,5455,21869,179
+2013-05-01,136122,114258,18691,117431,95567,862,5829,12000,7533,4467,25749,5721,14996.2,4479.1,553,2711,7885,18488,21071,14193,5470,21864,240
+2013-06-01,136280,114440,18724,117556,95716,865,5855,12004,7539,4465,25803,5723.9,15039.8,4484.8,554.7,2707,7887,18517,21070,14252,5480,21840,158
+2013-07-01,136391,114576,18705,117686,95871,862,5859,11984,7517,4467,25837,5734.6,15080.5,4470.6,551.4,2720,7903,18566,21074,14288,5483,21815,111
+2013-08-01,136651,114820,18756,117895,96064,864,5878,12014,7547,4467,25906,5743.7,15123.2,4488.2,551,2690,7901,18603,21143,14327,5494,21831,260
+2013-09-01,136852,115017,18810,118042,96207,868,5910,12032,7564,4468,25979,5752.8,15156.7,4518.4,551.4,2707,7904,18643,21133,14339,5502,21835,201
+2013-10-01,137062,115232,18857,118205,96375,870,5931,12056,7576,4480,26018,5748.7,15195.6,4522.8,551.1,2719,7910,18666,21158,14395,5509,21830,210
+2013-11-01,137283,115440,18911,118372,96529,869,5963,12079,7589,4490,26054,5760,15199.8,4541.5,552.2,2724,7912,18700,21194,14432,5513,21843,221
+2013-12-01,137376,115556,18881,118495,96675,866,5932,12083,7591,4492,26148,5762.8,15285.6,4549.5,550.5,2726,7914,18712,21196,14454,5525,21820,93
+2014-01-01,137550,115740,18934,118616,96806,871,5981,12082,7584,4498,26151,5776.2,15256.3,4569.7,549.2,2723,7915,18773,21225,14486,5533,21810,174
+2014-02-01,137732,115909,18986,118746,96923,874,6007,12105,7604,4501,26132,5782.7,15229.9,4570.5,549,2719,7932,18844,21246,14516,5534,21823,182
+2014-03-01,137993,116162,19041,118952,97121,879,6041,12121,7622,4499,26170,5785.8,15248.8,4584.6,551.1,2724,7933,18887,21292,14562,5553,21831,261
+2014-04-01,138304,116447,19102,119202,97345,886,6081,12135,7633,4502,26247,5802.9,15295.6,4598.4,550.2,2722,7945,18943,21314,14610,5564,21857,311
+2014-05-01,138556,116693,19145,119411,97548,887,6111,12147,7649,4498,26293,5807.7,15307.5,4627.4,550.1,2718,7953,18984,21370,14663,5567,21863,252
+2014-06-01,138862,116967,19194,119668,97773,892,6131,12171,7670,4501,26368,5818.6,15347.9,4650.8,551,2724,7965,19048,21416,14689,5563,21895,306
+2014-07-01,139058,117180,19261,119797,97919,897,6174,12190,7687,4503,26415,5824.3,15369.5,4669.7,551.2,2727,7978,19083,21449,14702,5565,21878,196
+2014-08-01,139284,117421,19307,119977,98114,897,6204,12206,7698,4508,26437,5824.6,15374.7,4685,553.1,2734,7993,19143,21499,14727,5581,21863,226
+2014-09-01,139568,117672,19364,120204,98308,904,6236,12224,7708,4516,26483,5823.5,15406.3,4701.5,551.3,2732,8008,19200,21540,14771,5574,21896,284
+2014-10-01,139823,117906,19411,120412,98495,901,6254,12256,7729,4527,26555,5832.3,15447.6,4722.7,552,2728,8020,19219,21575,14818,5580,21917,255
+2014-11-01,140130,118196,19451,120679,98745,899,6270,12282,7746,4536,26629,5835.5,15501.9,4739.4,552.4,2736,8034,19283,21625,14847,5591,21934,307
+2014-12-01,140381,118432,19482,120899,98950,896,6295,12291,7751,4540,26663,5844,15495.5,4769.1,554.1,2737,8042,19350,21676,14890,5592,21949,251
+2015-01-01,140592,118637,19516,121076,99121,888,6332,12296,7754,4542,26697,5848.9,15501.7,4791.6,554.6,2737,8060,19371,21741,14916,5599,21955,211
+2015-02-01,140859,118884,19532,121327,99352,875,6356,12301,7761,4540,26733,5857.7,15521.6,4799.6,554.2,2741,8072,19424,21787,14990,5605,21975,267
+2015-03-01,140937,118973,19512,121425,99461,859,6340,12313,7766,4547,26772,5858.7,15545.1,4813.6,554.7,2735,8082,19447,21829,14990,5606,21964,78
+2015-04-01,141219,119219,19551,121668,99668,843,6390,12318,7764,4554,26803,5854.8,15568.8,4824,555.1,2742,8087,19499,21905,15019,5613,22000,282
+2015-05-01,141545,119535,19584,121961,99951,820,6428,12336,7774,4562,26857,5859.6,15597.2,4843.7,556.2,2750,8096,19571,21952,15101,5624,22010,326
+2015-06-01,141736,119724,19601,122135,100123,817,6444,12340,7776,4564,26897,5857.1,15615,4869.7,555.6,2751,8112,19634,22002,15109,5618,22012,191
+2015-07-01,141992,119958,19629,122363,100329,808,6466,12355,7776,4579,26942,5857.4,15635.6,4892,557.2,2754,8134,19665,22051,15154,5629,22034,256
+2015-08-01,142156,120084,19628,122528,100456,797,6485,12346,7774,4572,26946,5854.8,15629.7,4903.8,557.8,2754,8146,19697,22093,15201,5619,22072,164
+2015-09-01,142244,120203,19622,122622,100581,779,6498,12345,7770,4575,26930,5842.1,15620.5,4910.9,556.7,2761,8152,19717,22138,15263,5620,22041,88
+2015-10-01,142595,120536,19669,122926,100867,771,6540,12358,7768,4590,26970,5849.6,15661.9,4903,555.9,2768,8168,19791,22217,15324,5629,22059,351
+2015-11-01,142859,120775,19701,123158,101074,755,6592,12354,7753,4601,27037,5851.8,15704.2,4924.7,556.6,2754,8181,19835,22263,15366,5638,22084,264
+2015-12-01,143093,120993,19737,123356,101256,745,6632,12360,7747,4613,27036,5850.5,15677.8,4950.9,556.5,2762,8188,19892,22318,15408,5652,22100,234
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/vega_datasets/_data/wheat.json
new/vega_datasets-0.7.0/vega_datasets/_data/wheat.json
--- old/vega_datasets-0.5.0/vega_datasets/_data/wheat.json 1970-01-01
01:00:00.000000000 +0100
+++ new/vega_datasets-0.7.0/vega_datasets/_data/wheat.json 2018-12-07
17:25:03.000000000 +0100
@@ -0,0 +1,54 @@
+[
+{"year":"1565","wheat":41,"wages":5},
+{"year":"1570","wheat":45,"wages":5.05},
+{"year":"1575","wheat":42,"wages":5.08},
+{"year":"1580","wheat":49,"wages":5.12},
+{"year":"1585","wheat":41.5,"wages":5.15},
+{"year":"1590","wheat":47,"wages":5.25},
+{"year":"1595","wheat":64,"wages":5.54},
+{"year":"1600","wheat":27,"wages":5.61},
+{"year":"1605","wheat":33,"wages":5.69},
+{"year":"1610","wheat":32,"wages":5.78},
+{"year":"1615","wheat":33,"wages":5.94},
+{"year":"1620","wheat":35,"wages":6.01},
+{"year":"1625","wheat":33,"wages":6.12},
+{"year":"1630","wheat":45,"wages":6.22},
+{"year":"1635","wheat":33,"wages":6.3},
+{"year":"1640","wheat":39,"wages":6.37},
+{"year":"1645","wheat":53,"wages":6.45},
+{"year":"1650","wheat":42,"wages":6.5},
+{"year":"1655","wheat":40.5,"wages":6.6},
+{"year":"1660","wheat":46.5,"wages":6.75},
+{"year":"1665","wheat":32,"wages":6.8},
+{"year":"1670","wheat":37,"wages":6.9},
+{"year":"1675","wheat":43,"wages":7},
+{"year":"1680","wheat":35,"wages":7.3},
+{"year":"1685","wheat":27,"wages":7.6},
+{"year":"1690","wheat":40,"wages":8},
+{"year":"1695","wheat":50,"wages":8.5},
+{"year":"1700","wheat":30,"wages":9},
+{"year":"1705","wheat":32,"wages":10},
+{"year":"1710","wheat":44,"wages":11},
+{"year":"1715","wheat":33,"wages":11.75},
+{"year":"1720","wheat":29,"wages":12.5},
+{"year":"1725","wheat":39,"wages":13},
+{"year":"1730","wheat":26,"wages":13.3},
+{"year":"1735","wheat":32,"wages":13.6},
+{"year":"1740","wheat":27,"wages":14},
+{"year":"1745","wheat":27.5,"wages":14.5},
+{"year":"1750","wheat":31,"wages":15},
+{"year":"1755","wheat":35.5,"wages":15.7},
+{"year":"1760","wheat":31,"wages":16.5},
+{"year":"1765","wheat":43,"wages":17.6},
+{"year":"1770","wheat":47,"wages":18.5},
+{"year":"1775","wheat":44,"wages":19.5},
+{"year":"1780","wheat":46,"wages":21},
+{"year":"1785","wheat":42,"wages":23},
+{"year":"1790","wheat":47.5,"wages":25.5},
+{"year":"1795","wheat":76,"wages":27.5},
+{"year":"1800","wheat":79,"wages":28.5},
+{"year":"1805","wheat":81,"wages":29.5},
+{"year":"1810","wheat":99,"wages":30},
+{"year":"1815","wheat":78},
+{"year":"1820","wheat":54}
+]
\ No newline at end of file
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/vega_datasets/core.py
new/vega_datasets-0.7.0/vega_datasets/core.py
--- old/vega_datasets-0.5.0/vega_datasets/core.py 2018-05-14
19:35:15.000000000 +0200
+++ new/vega_datasets-0.7.0/vega_datasets/core.py 2018-09-06
21:23:35.000000000 +0200
@@ -214,7 +214,7 @@
elif self.format == 'csv':
return pd.read_csv(datasource, **kwds)
elif self.format == 'tsv':
- kwargs['sep'] = '\t'
+ kwds.setdefault('sep', '\t')
return pd.read_csv(datasource, **kwds)
else:
raise ValueError("Unrecognized file format: {0}. "
@@ -373,6 +373,11 @@
return json.loads(bytes_decode(self.raw(use_local=use_local)),
**kwargs)
+class ZIPCodes(Dataset):
+ name = 'zipcodes'
+ _pd_read_kwds = {'dtype': {'zip_code': 'object'}}
+
+
class DataLoader(object):
"""Load a dataset from a local file or remote URL.
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/vega_datasets/dataset_info.json
new/vega_datasets-0.7.0/vega_datasets/dataset_info.json
--- old/vega_datasets-0.5.0/vega_datasets/dataset_info.json 2018-05-14
19:35:15.000000000 +0200
+++ new/vega_datasets-0.7.0/vega_datasets/dataset_info.json 2018-12-07
17:25:03.000000000 +0100
@@ -67,7 +67,21 @@
"stocks" : {
"description" : "Daily closing stock prices for AAPL, AMZN, GOOG, IBM, and
MSFT between 2000 and 2010."
},
+ "us-employment": {
+ "description": "In the mid 2000s the global economy was hit by a crippling
recession. One result: Massive job losses across the United States. The
downturn in employment, and the slow recovery in hiring that followed, was
tracked each month by the Current Employment Statistics [1]_ program at the
U.S. Bureau of Labor Statistics. This file contains the monthly employment
total in a variety of job categories from January 2006 through December 2015.
The numbers are seasonally adjusted and reported in thousands. The data were
downloaded on Nov. 11, 2018, and reformatted for use in this library. Because
it was initially published by the U.S. government, it is in the public domain.
Totals are included for the 22 'supersectors' [2]_ tracked by the BLS. The
'nonfarm' total is the category typically used by economists and journalists as
a stand-in for the country's employment total. A calculated 'nonfarm_change'
column has been appended with the month-to-month change in that supersector's
employment. It is useful for illustrating how to make bar charts that report
both negative and positive values.",
+ "references": [
+ "https://www.bls.gov/ces/";,
+ "https://download.bls.gov/pub/time.series/ce/ce.supersector";
+ ]
+ },
"us-state-capitals": {
"description": "US state capitals with latitude and longitude."
+ },
+ "wheat": {
+ "description": "In an 1822 letter to Parliament, William Playfair[1]_, a
Scottish engineer who is often credited as the founder of statistical graphics,
published an elegant chart on the price of wheat[2]_. It plots 250 years of
prices alongside weekly wages and the reigning monarch. He intended to
demonstrate that 'never at any former period was wheat so cheap, in proportion
to mechanical labour, as it is at the present time.' The electronic dataset was
created by Mike Bostock and released into the public domain.",
+ "references": [
+ "https://en.wikipedia.org/wiki/William_Playfair";,
+
"http://dh101.humanities.ucla.edu/wp-content/uploads/2014/08/Vis_2.jpg";
+ ]
}
}
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/vega_datasets/datasets.json
new/vega_datasets-0.7.0/vega_datasets/datasets.json
--- old/vega_datasets-0.5.0/vega_datasets/datasets.json 2018-05-15
18:56:06.000000000 +0200
+++ new/vega_datasets-0.7.0/vega_datasets/datasets.json 2018-11-21
04:07:50.000000000 +0100
@@ -1,258 +1,262 @@
{
- "7zip": {
- "filename": "7zip.png",
- "format": "png"
- },
- "airports": {
- "filename": "airports.csv",
- "format": "csv"
- },
- "anscombe": {
- "filename": "anscombe.json",
- "format": "json"
- },
- "barley": {
- "filename": "barley.json",
- "format": "json"
- },
- "birdstrikes": {
- "filename": "birdstrikes.json",
- "format": "json"
- },
- "budget": {
- "filename": "budget.json",
- "format": "json"
- },
- "budgets": {
- "filename": "budgets.json",
- "format": "json"
- },
- "burtin": {
- "filename": "burtin.json",
- "format": "json"
- },
- "cars": {
- "filename": "cars.json",
- "format": "json"
- },
- "climate": {
- "filename": "climate.json",
- "format": "json"
- },
+ "iowa-electricity": {
+ "format": "csv",
+ "filename": "iowa-electricity.csv"
+ },
+ "world-110m": {
+ "format": "json",
+ "filename": "world-110m.json"
+ },
+ "flights-200k": {
+ "format": "json",
+ "filename": "flights-200k.json"
+ },
+ "zipcodes": {
+ "format": "csv",
+ "filename": "zipcodes.csv"
+ },
+ "unemployment": {
+ "format": "tsv",
+ "filename": "unemployment.tsv"
+ },
+ "flights-3m": {
+ "format": "csv",
+ "filename": "flights-3m.csv"
+ },
+ "us-employment": {
+ "format": "csv",
+ "filename": "us-employment.csv"
+ },
+ "weather": {
+ "format": "json",
+ "filename": "weather.json"
+ },
"co2-concentration": {
- "filename": "co2-concentration.csv",
- "format": "csv"
- },
- "countries": {
- "filename": "countries.json",
- "format": "json"
- },
+ "format": "csv",
+ "filename": "co2-concentration.csv"
+ },
"crimea": {
- "filename": "crimea.json",
- "format": "json"
- },
+ "format": "json",
+ "filename": "crimea.json"
+ },
+ "wheat": {
+ "format": "json",
+ "filename": "wheat.json"
+ },
"disasters": {
- "filename": "disasters.csv",
- "format": "csv"
- },
- "driving": {
- "filename": "driving.json",
- "format": "json"
- },
- "earthquakes": {
- "filename": "earthquakes.json",
- "format": "json"
- },
+ "format": "csv",
+ "filename": "disasters.csv"
+ },
+ "londonCentroids": {
+ "format": "json",
+ "filename": "londonCentroids.json"
+ },
+ "gimp": {
+ "format": "png",
+ "filename": "gimp.png"
+ },
"ffox": {
- "filename": "ffox.png",
- "format": "png"
- },
- "flare-dependencies": {
- "filename": "flare-dependencies.json",
- "format": "json"
- },
- "flare": {
- "filename": "flare.json",
- "format": "json"
- },
- "flights-10k": {
- "filename": "flights-10k.json",
- "format": "json"
- },
- "flights-200k": {
- "filename": "flights-200k.json",
- "format": "json"
- },
+ "format": "png",
+ "filename": "ffox.png"
+ },
+ "us-10m": {
+ "format": "json",
+ "filename": "us-10m.json"
+ },
+ "driving": {
+ "format": "json",
+ "filename": "driving.json"
+ },
"flights-20k": {
- "filename": "flights-20k.json",
- "format": "json"
- },
- "flights-2k": {
- "filename": "flights-2k.json",
- "format": "json"
- },
- "flights-3m": {
- "filename": "flights-3m.csv",
- "format": "csv"
- },
+ "format": "json",
+ "filename": "flights-20k.json"
+ },
+ "7zip": {
+ "format": "png",
+ "filename": "7zip.png"
+ },
+ "sf-temps": {
+ "format": "csv",
+ "filename": "sf-temps.csv"
+ },
"flights-5k": {
- "filename": "flights-5k.json",
- "format": "json"
- },
- "flights-airport": {
- "filename": "flights-airport.csv",
- "format": "csv"
- },
- "gapminder-health-income": {
- "filename": "gapminder-health-income.csv",
- "format": "csv"
- },
- "gapminder": {
- "filename": "gapminder.json",
- "format": "json"
- },
- "gimp": {
- "filename": "gimp.png",
- "format": "png"
- },
- "github": {
- "filename": "github.csv",
- "format": "csv"
- },
- "graticule": {
- "filename": "graticule.json",
- "format": "json"
- },
+ "format": "json",
+ "filename": "flights-5k.json"
+ },
+ "us-state-capitals": {
+ "format": "json",
+ "filename": "us-state-capitals.json"
+ },
+ "unemployment-across-industries": {
+ "format": "json",
+ "filename": "unemployment-across-industries.json"
+ },
"income": {
- "filename": "income.json",
- "format": "json"
- },
- "iowa-electricity": {
- "filename": "iowa-electricity.csv",
- "format": "csv"
- },
- "iris": {
- "filename": "iris.json",
- "format": "json"
- },
+ "format": "json",
+ "filename": "income.json"
+ },
+ "population_engineers_hurricanes": {
+ "format": "csv",
+ "filename": "population_engineers_hurricanes.csv"
+ },
+ "miserables": {
+ "format": "json",
+ "filename": "miserables.json"
+ },
+ "birdstrikes": {
+ "format": "json",
+ "filename": "birdstrikes.json"
+ },
+ "sp500": {
+ "format": "csv",
+ "filename": "sp500.csv"
+ },
+ "earthquakes": {
+ "format": "json",
+ "filename": "earthquakes.json"
+ },
+ "barley": {
+ "format": "json",
+ "filename": "barley.json"
+ },
+ "flare-dependencies": {
+ "format": "json",
+ "filename": "flare-dependencies.json"
+ },
+ "monarchs": {
+ "format": "json",
+ "filename": "monarchs.json"
+ },
+ "seattle-temps": {
+ "format": "csv",
+ "filename": "seattle-temps.csv"
+ },
"jobs": {
- "filename": "jobs.json",
- "format": "json"
- },
- "la-riots": {
- "filename": "la-riots.csv",
- "format": "csv"
- },
+ "format": "json",
+ "filename": "jobs.json"
+ },
+ "graticule": {
+ "format": "json",
+ "filename": "graticule.json"
+ },
+ "cars": {
+ "format": "json",
+ "filename": "cars.json"
+ },
+ "weball26": {
+ "format": "json",
+ "filename": "weball26.json"
+ },
+ "flights-2k": {
+ "format": "json",
+ "filename": "flights-2k.json"
+ },
"londonBoroughs": {
- "filename": "londonBoroughs.json",
- "format": "json"
- },
- "londonCentroids": {
- "filename": "londonCentroids.json",
- "format": "json"
- },
+ "format": "json",
+ "filename": "londonBoroughs.json"
+ },
+ "seattle-weather": {
+ "format": "csv",
+ "filename": "seattle-weather.csv"
+ },
"londonTubeLines": {
- "filename": "londonTubeLines.json",
- "format": "json"
- },
+ "format": "json",
+ "filename": "londonTubeLines.json"
+ },
+ "gapminder-health-income": {
+ "format": "csv",
+ "filename": "gapminder-health-income.csv"
+ },
+ "anscombe": {
+ "format": "json",
+ "filename": "anscombe.json"
+ },
+ "udistrict": {
+ "format": "json",
+ "filename": "udistrict.json"
+ },
+ "la-riots": {
+ "format": "csv",
+ "filename": "la-riots.csv"
+ },
+ "stocks": {
+ "format": "csv",
+ "filename": "stocks.csv"
+ },
"lookup_groups": {
- "filename": "lookup_groups.csv",
- "format": "csv"
- },
- "lookup_people": {
- "filename": "lookup_people.csv",
- "format": "csv"
- },
- "miserables": {
- "filename": "miserables.json",
- "format": "json"
- },
- "monarchs": {
- "filename": "monarchs.json",
- "format": "json"
- },
- "movies": {
- "filename": "movies.json",
- "format": "json"
- },
+ "format": "csv",
+ "filename": "lookup_groups.csv"
+ },
"normal-2d": {
- "filename": "normal-2d.json",
- "format": "json"
- },
- "obesity": {
- "filename": "obesity.json",
- "format": "json"
- },
- "points": {
- "filename": "points.json",
- "format": "json"
- },
+ "format": "json",
+ "filename": "normal-2d.json"
+ },
"population": {
- "filename": "population.json",
- "format": "json"
- },
- "population_engineers_hurricanes": {
- "filename": "population_engineers_hurricanes.csv",
- "format": "csv"
- },
- "seattle-temps": {
- "filename": "seattle-temps.csv",
- "format": "csv"
- },
- "seattle-weather": {
- "filename": "seattle-weather.csv",
- "format": "csv"
- },
- "sf-temps": {
- "filename": "sf-temps.csv",
- "format": "csv"
- },
- "sp500": {
- "filename": "sp500.csv",
- "format": "csv"
- },
- "stocks": {
- "filename": "stocks.csv",
- "format": "csv"
- },
- "udistrict": {
- "filename": "udistrict.json",
- "format": "json"
- },
- "unemployment-across-industries": {
- "filename": "unemployment-across-industries.json",
- "format": "json"
- },
- "unemployment": {
- "filename": "unemployment.tsv",
- "format": "tsv"
- },
- "us-10m": {
- "filename": "us-10m.json",
- "format": "json"
- },
- "us-state-capitals": {
- "filename": "us-state-capitals.json",
- "format": "json"
- },
- "weather": {
- "filename": "weather.json",
- "format": "json"
- },
- "weball26": {
- "filename": "weball26.json",
- "format": "json"
- },
- "wheat": {
- "filename": "wheat.json",
- "format": "json"
- },
- "world-110m": {
- "filename": "world-110m.json",
- "format": "json"
- },
- "zipcodes": {
- "filename": "zipcodes.csv",
- "format": "csv"
+ "format": "json",
+ "filename": "population.json"
+ },
+ "iris": {
+ "format": "json",
+ "filename": "iris.json"
+ },
+ "climate": {
+ "format": "json",
+ "filename": "climate.json"
+ },
+ "github": {
+ "format": "csv",
+ "filename": "github.csv"
+ },
+ "airports": {
+ "format": "csv",
+ "filename": "airports.csv"
+ },
+ "countries": {
+ "format": "json",
+ "filename": "countries.json"
+ },
+ "flare": {
+ "format": "json",
+ "filename": "flare.json"
+ },
+ "burtin": {
+ "format": "json",
+ "filename": "burtin.json"
+ },
+ "budget": {
+ "format": "json",
+ "filename": "budget.json"
+ },
+ "flights-10k": {
+ "format": "json",
+ "filename": "flights-10k.json"
+ },
+ "flights-airport": {
+ "format": "csv",
+ "filename": "flights-airport.csv"
+ },
+ "movies": {
+ "format": "json",
+ "filename": "movies.json"
+ },
+ "points": {
+ "format": "json",
+ "filename": "points.json"
+ },
+ "budgets": {
+ "format": "json",
+ "filename": "budgets.json"
+ },
+ "gapminder": {
+ "format": "json",
+ "filename": "gapminder.json"
+ },
+ "obesity": {
+ "format": "json",
+ "filename": "obesity.json"
+ },
+ "lookup_people": {
+ "format": "csv",
+ "filename": "lookup_people.csv"
}
}
\ No newline at end of file
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/vega_datasets-0.5.0/vega_datasets/local_datasets.json
new/vega_datasets-0.7.0/vega_datasets/local_datasets.json
--- old/vega_datasets-0.5.0/vega_datasets/local_datasets.json 2018-05-15
17:26:32.000000000 +0200
+++ new/vega_datasets-0.7.0/vega_datasets/local_datasets.json 2018-12-07
17:25:03.000000000 +0100
@@ -1,16 +1,18 @@
{
- "airports": "_data/airports.csv",
- "anscombe": "_data/anscombe.json",
- "barley": "_data/barley.json",
- "burtin": "_data/burtin.json",
- "cars": "_data/cars.json",
- "crimea": "_data/crimea.json",
- "driving": "_data/driving.json",
- "iowa-electricity": "_data/iowa-electricity.csv",
- "iris": "_data/iris.json",
- "la-riots": "_data/la-riots.csv",
- "seattle-temps": "_data/seattle-temps.csv",
- "seattle-weather": "_data/seattle-weather.csv",
- "sf-temps": "_data/sf-temps.csv",
- "stocks": "_data/stocks.csv"
+ "airports": "_data/airports.csv",
+ "anscombe": "_data/anscombe.json",
+ "barley": "_data/barley.json",
+ "burtin": "_data/burtin.json",
+ "cars": "_data/cars.json",
+ "crimea": "_data/crimea.json",
+ "driving": "_data/driving.json",
+ "iowa-electricity": "_data/iowa-electricity.csv",
+ "iris": "_data/iris.json",
+ "la-riots": "_data/la-riots.csv",
+ "seattle-temps": "_data/seattle-temps.csv",
+ "seattle-weather": "_data/seattle-weather.csv",
+ "sf-temps": "_data/sf-temps.csv",
+ "stocks": "_data/stocks.csv",
+ "us-employment": "_data/us-employment.csv",
+ "wheat": "_data/wheat.json"
}
\ No newline at end of file
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/vega_datasets-0.5.0/vega_datasets/tests/test_download.py
new/vega_datasets-0.7.0/vega_datasets/tests/test_download.py
--- old/vega_datasets-0.5.0/vega_datasets/tests/test_download.py
2018-02-25 20:05:07.000000000 +0100
+++ new/vega_datasets-0.7.0/vega_datasets/tests/test_download.py
2018-09-06 21:23:35.000000000 +0200
@@ -55,3 +55,18 @@
def test_world_110m_parsing():
world_110m = data.world_110m()
assert type(world_110m) is dict
+
+
+@skip_if_no_internet
+def test_unemployment_tsv():
+ unemployment = data.unemployment()
+ assert len(unemployment.columns) == 2
+
+
+@skip_if_no_internet
+def test_zipcodes_parsing():
+ zipcodes = data.zipcodes()
+ assert all(zipcodes.columns == ['zip_code', 'latitude', 'longitude',
+ 'city', 'state', 'county'])
+ assert all(zipcodes.dtypes == ['object', 'float64', 'float64',
+ 'object', 'object', 'object'])
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore' old/vega_datasets-0.5.0/vega_datasets.egg-info/PKG-INFO
new/vega_datasets-0.7.0/vega_datasets.egg-info/PKG-INFO
--- old/vega_datasets-0.5.0/vega_datasets.egg-info/PKG-INFO 2018-05-15
19:21:32.000000000 +0200
+++ new/vega_datasets-0.7.0/vega_datasets.egg-info/PKG-INFO 2018-12-07
17:29:01.000000000 +0100
@@ -1,15 +1,16 @@
-Metadata-Version: 1.2
+Metadata-Version: 2.1
Name: vega-datasets
-Version: 0.5.0
+Version: 0.7.0
Summary: A Python package for offline access to Vega datasets
Home-page: http://github.com/altair-viz/vega_datasets
Author: Jake VanderPlas
Author-email: jake...@gmail.com
+Maintainer: Jake VanderPlas
+Maintainer-email: jake...@gmail.com
License: MIT
Download-URL: http://github.com/altair-viz/vega_datasets
Project-URL: Bug Reports, https://github.com/altair-viz/vega_datasets/issues
Project-URL: Source, https://github.com/altair-viz/vega_datasets
-Description-Content-Type: text/markdown
Description: # vega_datasets
[](https://travis-ci.org/altair-viz/vega_datasets)
@@ -68,11 +69,11 @@
## Available Datasets
- To list all the available datsets, use ``list_datsets``:
+ To list all the available datsets, use ``list_datasets``:
```python
>>> data.list_datasets()
- ['7zip', 'airports', 'anscombe', 'barley', 'birdstrikes', 'budget',
'budgets', 'burtin', 'cars', 'climate', 'co2-concentration', 'countries',
'crimea', 'disasters', 'driving', 'earthquakes', 'ffox', 'flare',
'flare-dependencies', 'flights-10k', 'flights-200k', 'flights-20k',
'flights-2k', 'flights-3m', 'flights-5k', 'flights-airport', 'gapminder',
'gapminder-health-income', 'gimp', 'github', 'graticule', 'income', 'iris',
'jobs', 'londonBoroughs', 'londonCentroids', 'londonTubeLines',
'lookup_groups', 'lookup_people', 'miserables', 'monarchs', 'movies',
'normal-2d', 'obesity', 'points', 'population',
'population_engineers_hurricanes', 'seattle-temps', 'seattle-weather',
'sf-temps', 'sp500', 'stocks', 'udistrict', 'unemployment',
'unemployment-across-industries', 'us-10m', 'us-state-capitals', 'weather',
'weball26', 'wheat', 'world-110m', 'zipcodes']
+ ['7zip', 'airports', 'anscombe', 'barley', 'birdstrikes', 'budget',
'budgets', 'burtin', 'cars', 'climate', 'co2-concentration', 'countries',
'crimea', 'disasters', 'driving', 'earthquakes', 'ffox', 'flare',
'flare-dependencies', 'flights-10k', 'flights-200k', 'flights-20k',
'flights-2k', 'flights-3m', 'flights-5k', 'flights-airport', 'gapminder',
'gapminder-health-income', 'gimp', 'github', 'graticule', 'income', 'iris',
'jobs', 'londonBoroughs', 'londonCentroids', 'londonTubeLines',
'lookup_groups', 'lookup_people', 'miserables', 'monarchs', 'movies',
'normal-2d', 'obesity', 'points', 'population',
'population_engineers_hurricanes', 'seattle-temps', 'seattle-weather',
'sf-temps', 'sp500', 'stocks', 'udistrict', 'unemployment',
'unemployment-across-industries', 'us-10m', 'us-employment',
'us-state-capitals', 'weather', 'weball26', 'wheat', 'world-110m', 'zipcodes']
```
To list local datasets (i.e. those that are bundled with the package
and can be used without a web connection), use the ``local_data`` object
instead:
@@ -81,7 +82,7 @@
>>> from vega_datasets import local_data
>>> local_data.list_datasets()
- ['airports', 'anscombe', 'barley', 'burtin', 'cars', 'crimea',
'driving', 'iowa-electricity', 'iris', 'seattle-temps', 'seattle-weather',
'sf-temps', 'stocks']
+ ['airports', 'anscombe', 'barley', 'burtin', 'cars', 'crimea',
'driving', 'iowa-electricity', 'iris', 'seattle-temps', 'seattle-weather',
'sf-temps', 'stocks', 'us-employment', "wheat"]
```
We plan to add more local datasets in the future, subject to size and
licensing constraints. See the [local datasets
issue](https://github.com/altair-viz/vega_datasets/issues/1) if you would like
to help with this.
@@ -107,3 +108,5 @@
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Description-Content-Type: text/markdown
diff -urN '--exclude=CVS' '--exclude=.cvsignore' '--exclude=.svn'
'--exclude=.svnignore'
old/vega_datasets-0.5.0/vega_datasets.egg-info/SOURCES.txt
new/vega_datasets-0.7.0/vega_datasets.egg-info/SOURCES.txt
--- old/vega_datasets-0.5.0/vega_datasets.egg-info/SOURCES.txt 2018-05-15
19:21:32.000000000 +0200
+++ new/vega_datasets-0.7.0/vega_datasets.egg-info/SOURCES.txt 2018-12-07
17:29:01.000000000 +0100
@@ -32,6 +32,8 @@
vega_datasets/_data/seattle-weather.csv
vega_datasets/_data/sf-temps.csv
vega_datasets/_data/stocks.csv
+vega_datasets/_data/us-employment.csv
+vega_datasets/_data/wheat.json
vega_datasets/tests/__init__.py
vega_datasets/tests/test_core.py
vega_datasets/tests/test_download.py
![http://dh101.humanities.ucla.edu/wp-content/uploads/2014/08/Vis_2.jpg"](http://dh101.humanities.ucla.edu/wp-content/uploads/2014/08/Vis_2.jpg"){kind=link}