def test_config():
"""Test vispy config methods and file downloading"""
assert_raises(TypeError, config.update, data_path=dict())
assert_raises(KeyError, config.update, foo="bar") # bad key
data_dir = op.join(temp_dir, "data")
assert_raises(IOError, set_data_dir, data_dir) # didn't say to create
orig_val = os.environ.get("_VISPY_CONFIG_TESTING", None)
os.environ["_VISPY_CONFIG_TESTING"] = "true"
try:
assert_raises(IOError, set_data_dir, data_dir) # doesn't exist yet
set_data_dir(data_dir, create=True, save=True)
assert_equal(config["data_path"], data_dir)
config["data_path"] = data_dir
print(config) # __repr__
load_data_file("CONTRIBUTING.txt")
fid = open(op.join(data_dir, "test-faked.txt"), "w")
fid.close()
load_data_file("test-faked.txt") # this one shouldn't download
assert_raises(RuntimeError, load_data_file, "foo-nonexist.txt")
save_config()
finally:
if orig_val is not None:
os.environ["_VISPY_CONFIG_TESTING"] = orig_val
else:
del os.environ["_VISPY_CONFIG_TESTING"]
def test_config():
"""Test vispy config methods and file downloading"""
assert_raises(TypeError, config.update, data_path=dict())
assert_raises(KeyError, config.update, foo='bar') # bad key
data_dir = op.join(temp_dir, 'data')
assert_raises(IOError, set_data_dir, data_dir) # didn't say to create
orig_val = os.environ.get('_VISPY_CONFIG_TESTING', None)
os.environ['_VISPY_CONFIG_TESTING'] = 'true'
try:
assert_raises(IOError, set_data_dir, data_dir) # doesn't exist yet
set_data_dir(data_dir, create=True, save=True)
assert_equal(config['data_path'], data_dir)
config['data_path'] = data_dir
print(config) # __repr__
load_data_file('CONTRIBUTING.txt')
fid = open(op.join(data_dir, 'test-faked.txt'), 'w')
fid.close()
load_data_file('test-faked.txt') # this one shouldn't download
assert_raises(RuntimeError, load_data_file, 'foo-nonexist.txt')
save_config()
finally:
if orig_val is not None:
os.environ['_VISPY_CONFIG_TESTING'] = orig_val
else:
del os.environ['_VISPY_CONFIG_TESTING']
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vispy: testskip
# -----------------------------------------------------------------------------
# Copyright (c) 2014, Nicolas P. Rougier. All Rights Reserved.
# Distributed under the (new) BSD License.
# -----------------------------------------------------------------------------
from vispy import app, gloo
from vispy.util import load_data_file
from vispy.util.svg import Document
from vispy.visuals.collections import PathCollection, PolygonCollection
from vispy.visuals.transforms import PanZoomTransform
path = load_data_file('tiger/tiger.svg')
tiger = Document(path)
width, height = int(tiger.viewport.width), int(tiger.viewport.height)
canvas = app.Canvas(size=(width, height), show=True, keys='interactive')
gloo.set_viewport(0, 0, width, height)
gloo.set_state("translucent", depth_test=True)
panzoom = PanZoomTransform(canvas, aspect=1.0)
paths = PathCollection("agg+",
linewidth='shared',
color="shared",
transform=panzoom)
polys = PolygonCollection("agg", transform=panzoom)
paths.update.connect(canvas.update)
z = 0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vispy: testskip
import json
import numpy as np
from vispy import app, gloo
from vispy.util import load_data_file
from vispy.visuals.collections import PathCollection, PolygonCollection
from vispy.visuals.transforms import PanZoomTransform
path = load_data_file('uscounties/uscounties.geojson')
with open(path, 'r') as f:
geo = json.load(f)
def unique_rows(data):
v = data.view(data.dtype.descr * data.shape[1])
_, idx = np.unique(v, return_index=True)
return data[np.sort(idx)]
def add(P, color):
P = np.array(P)
if len(P) < 2:
return
P = np.array(P) / 20.0 + (5, -2)
p = np.zeros((len(P), 3))
p[:, :2] = P
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vispy: testskip
# -----------------------------------------------------------------------------
# Copyright (c) 2014, Nicolas P. Rougier. All Rights Reserved.
# Distributed under the (new) BSD License.
# -----------------------------------------------------------------------------
from vispy import app, gloo
from vispy.util import load_data_file
from vispy.util.svg import Document
from vispy.visuals.collections import PathCollection, PolygonCollection
from vispy.visuals.transforms import PanZoomTransform
path = load_data_file('tiger/tiger.svg')
tiger = Document(path)
width, height = int(tiger.viewport.width), int(tiger.viewport.height)
canvas = app.Canvas(size=(width, height), show=True, keys='interactive')
gloo.set_viewport(0, 0, width, height)
gloo.set_state("translucent", depth_test=True)
panzoom = PanZoomTransform(canvas, aspect=1.0)
paths = PathCollection(
"agg+", linewidth='shared', color="shared", transform=panzoom)
polys = PolygonCollection("agg", transform=panzoom)
paths.update.connect(canvas.update)
z = 0
for path in tiger.paths:
for vertices, closed in path.vertices:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# vispy: testskip
import json
import numpy as np
from vispy import app, gloo
from vispy.util import load_data_file
from vispy.visuals.collections import PathCollection, PolygonCollection
from vispy.visuals.transforms import PanZoomTransform
path = load_data_file('uscounties/uscounties.geojson')
with open(path, 'r') as f:
geo = json.load(f)
def unique_rows(data):
v = data.view(data.dtype.descr * data.shape[1])
_, idx = np.unique(v, return_index=True)
return data[np.sort(idx)]
def add(P, color):
P = np.array(P)
if len(P) < 2:
return
P = np.array(P) / 20.0 + (5, -2)
p = np.zeros((len(P), 3))