本文整理汇总了Python中ee.Number方法的典型用法代码示例。如果您正苦于以下问题:Python ee.Number方法的具体用法?Python ee.Number怎么用?Python ee.Number使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ee
的用法示例。
在下文中一共展示了ee.Number方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testString
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def testString(self):
"""Verifies basic behavior of ee.String."""
bare_string = ee.String('foo')
self.assertEquals('foo', bare_string.encode())
computed = ee.String('foo').cat('bar')
self.assertTrue(isinstance(computed, ee.String))
self.assertEquals(ee.ApiFunction.lookup('String.cat'), computed.func)
self.assertEquals({'string1': ee.String('foo'),
'string2': ee.String('bar')}, computed.args)
# Casting a non-string ComputedObject.
obj = ee.Number(1).add(1)
s = ee.String(obj)
self.assertTrue(isinstance(s, ee.String))
self.assertEquals(ee.ApiFunction.lookup('String'), s.func)
self.assertEquals({'input': obj}, s.args)
示例2: pv
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def pv(imList,p,median,j):
''' calculate -2log(R_ell,j) and return P-value '''
imList = ee.List(imList)
p = ee.Number(p)
j = ee.Number(j)
f = p
one = ee.Number(1.0)
# 1 - (1. + 1./(j*(j-1)))/(6.*p*n)
rhoj = one.subtract(one.add(one.divide(j.multiply(j.subtract(one)))).divide(6*ENL))
# -(f/4.)*(1.-1./rhoj)**2'
omega2j = one.subtract(one.divide(rhoj)).pow(2.0).multiply(f.divide(-4.0))
Z = ee.Image(ee.Image(log_det_sum(imList,j.subtract(1)))).multiply(j.subtract(1)) \
.add(log_det(imList,j)) \
.add(p.multiply(j).multiply(ee.Number(j).log())) \
.subtract(p.multiply(j.subtract(1)).multiply(j.subtract(1).log())) \
.subtract(ee.Image(log_det_sum(imList,j)).multiply(j)) \
.multiply(rhoj) \
.multiply(-2*ENL)
# (1.-omega2j)*stats.chi2.cdf(Z,[f])+omega2j*stats.chi2.cdf(Z,[f+4])
P = ee.Image( chi2cdf(Z,f).multiply(one.subtract(omega2j)).add(chi2cdf(Z,f.add(4)).multiply(omega2j)) )
# 3x3 median filter
return ee.Algorithms.If(median, P.focal_median(), P)
示例3: filter_j
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def filter_j(current,prev):
P = ee.Image(current)
prev = ee.Dictionary(prev)
ell = ee.Number(prev.get('ell'))
cmap = ee.Image(prev.get('cmap'))
smap = ee.Image(prev.get('smap'))
fmap = ee.Image(prev.get('fmap'))
bmap = ee.Image(prev.get('bmap'))
threshold = ee.Image(prev.get('threshold'))
j = ee.Number(prev.get('j'))
cmapj = cmap.multiply(0).add(ell.add(j).subtract(1))
cmap1 = cmap.multiply(0).add(1)
tst = P.gt(threshold).And(cmap.eq(ell.subtract(1)))
cmap = cmap.where(tst,cmapj)
fmap = fmap.where(tst,fmap.add(1))
smap = ee.Algorithms.If(ell.eq(1),smap.where(tst,cmapj),smap)
idx = ell.add(j).subtract(2)
tmp = bmap.select(idx)
bname = bmap.bandNames().get(idx)
tmp = tmp.where(tst,cmap1)
tmp = tmp.rename([bname])
bmap = bmap.addBands(tmp,[bname],True)
return ee.Dictionary({'ell':ell,'j':j.add(1),'threshold':threshold,'cmap':cmap,'smap':smap,'fmap':fmap,'bmap':bmap})
示例4: covw
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def covw(centeredImage, weights=None, maxPixels=1e9):
'''Return the (weighted) covariance matrix of a centered image'''
if weights==None:
weights = centeredImage.multiply(0).add(ee.Image.constant(1))
B1 = centeredImage.bandNames().get(0)
b1 = weights.bandNames().get(0)
sumWeights = ee.Number(weights.reduceRegion(ee.Reducer.sum(), maxPixels=maxPixels).get(b1))
nPixels = ee.Number(centeredImage.reduceRegion(ee.Reducer.count(), maxPixels=maxPixels).get(B1))
# arr = dataArray(centeredImage.multiply(weights.sqrt()))
# return arr.matrixTranspose().matrixMultiply(arr).divide(sumWeights)
covW = centeredImage \
.multiply(weights.sqrt()) \
.toArray() \
.reduceRegion(ee.Reducer.centeredCovariance(), maxPixels=1e9) \
.get('array')
return ee.Array(covW).multiply(nPixels.divide(sumWeights))
示例5: covarw
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def covarw(image, weights, maxPixels=1e9):
'''Return the weighted centered image and its weighted covariance matrix'''
geometry = image.geometry()
bandNames = image.bandNames()
N = bandNames.length()
scale = image.select(0).projection().nominalScale()
weightsImage = image.multiply(ee.Image.constant(0)).add(weights)
means = image.addBands(weightsImage) \
.reduceRegion(ee.Reducer.mean().repeat(N).splitWeights(), scale=scale,maxPixels=maxPixels) \
.toArray() \
.project([1])
centered = image.toArray().subtract(means)
B1 = centered.bandNames().get(0)
b1 = weights.bandNames().get(0)
nPixels = ee.Number(centered.reduceRegion(ee.Reducer.count(), scale=scale, maxPixels=maxPixels).get(B1))
sumWeights = ee.Number(weights.reduceRegion(ee.Reducer.sum(),geometry=geometry, scale=scale, maxPixels=maxPixels).get(b1))
covw = centered.multiply(weights.sqrt()) \
.toArray() \
.reduceRegion(ee.Reducer.centeredCovariance(), geometry=geometry, scale=scale, maxPixels=maxPixels) \
.get('array')
covw = ee.Array(covw).multiply(nPixels).divide(sumWeights)
return (centered.arrayFlatten([bandNames]), covw)
示例6: round_month
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def round_month(date):
"""
round date to closest month
"""
# start of THIS month
m1 = date.fromYMD(date.get('year'),date.get('month'),ee.Number(1))
# start of NEXT month
m2 = m1.advance(1,'month')
# difference from date
d1 = ee.Number(date.difference(m1,'day')).abs()
d2 = ee.Number(date.difference(m2,'day')).abs()
# return closest start of month
return ee.Date(ee.Algorithms.If(d2.gt(d1),m1,m2))
示例7: solar_z
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def solar_z(image, mission):
"""
solar zenith angle (degrees)
"""
def sentinel2(image):
return ee.Number(image.get('MEAN_SOLAR_ZENITH_ANGLE'))
def landsat(image):
return ee.Number(90).subtract(image.get('SUN_ELEVATION'))
switch = {
'Sentinel2':sentinel2,
'Landsat8':landsat,
'Landsat7':landsat,
'Landsat5':landsat,
'Landsat4':landsat
}
getSolarZenith = switch[mission]
return getSolarZenith(image)
示例8: map
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def map(self, collection, **kwargs):
""" Map function to use in BAP
:param year: the analysing year. Must match the year of the bap
:type year: int
"""
range_out = self.range_out
year = kwargs.get('year')
date_range = self.season.add_year(year)
doy = ee.Date(season_module.SeasonDate(self.best_doy).add_year(year))
doy2 = ee.Date(season_module.SeasonDate(self.best_doy).add_year(year-1))
condition = date_range.contains(doy)
best = ee.Number(ee.Algorithms.If(condition, doy, doy2))
return self.apply(collection, best_doy=best, name=self.name,
output_min=range_out[0], output_max=range_out[1],
function=self.function, stretch=self.stretch)
示例9: add_year
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def add_year(self, year):
year = ee.Number(year)
if self.over_end:
start_year = year.subtract(1)
else:
start_year = ee.Number(year)
end_year = ee.Number(year)
sday = self.start.day
eday = self.end.day
# look for feb 29h in non leap
if not is_leap(year):
if self.start.month == 2 and sday == 29:
sday = 28
if self.end.month == 2 and eday == 29:
eday = 28
start = ee.Date.fromYMD(start_year, self.start.month, sday)
end = ee.Date.fromYMD(end_year, self.end.month, eday)
daterange = ee.DateRange(ee.Date(start), ee.Date(end))
return daterange
示例10: get
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def get(date, unit="days"):
""" get the date (ee.Date) of the given value in 'unit'.
Currentrly ONLY process 'days', so:
`date.Date.get(365) = '1971-01-01T00:00:00`
:param date: the value to transform
:type date: int
:param unit: date's unit (currently ONLY 'days')
:return: date corresponding to the given value
:rtype: ee.Date
"""
if unit == "days":
mili = ee.Number(date).multiply(Date.oneday)
d = ee.Date(mili)
# dstr = d.format()
return d
示例11: date_to_time_0utc
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def date_to_time_0utc(date):
"""Get the 0 UTC time_start for a date
Parameters
----------
date : ee.Date
Returns
-------
ee.Number
"""
return ee.Date.fromYMD(date.get('year'), date.get('month'),
date.get('day')).millis()
# Extra operations are needed since update() does not set milliseconds to 0.
# return date.update(hour=0, minute=0, second=0).millis()\
# .divide(1000).floor().multiply(1000)
示例12: toa_image
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def toa_image(red=0.1, nir=0.9, bt=305):
"""Construct a fake Landsat 8 TOA image with renamed bands"""
mask_img = ee.Image(f'{COLL_ID}/{SCENE_ID}').select(['B3']).multiply(0)
return ee.Image([mask_img.add(red), mask_img.add(nir), mask_img.add(bt)]) \
.rename(['red', 'nir', 'tir'])\
.set({
'system:time_start': SCENE_TIME,
'k1_constant': ee.Number(607.76),
'k2_constant': ee.Number(1260.56),
})
# return ee.Image.constant([red, nir, bt])\
# .rename(['red', 'nir', 'lst']) \
# .set({
# 'system:time_start': ee.Date(SCENE_DATE).millis(),
# 'k1_constant': ee.Number(607.76),
# 'k2_constant': ee.Number(1260.56),
# })
示例13: enumerateProperty
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def enumerateProperty(collection, name='enumeration'):
"""
:param collection:
:param name:
:return:
"""
enumerated = eecollection.enumerate(collection)
def over_list(l):
l = ee.List(l)
index = ee.Number(l.get(0))
element = l.get(1)
return ee.Image(element).set(name, index)
imlist = enumerated.map(over_list)
return ee.ImageCollection(imlist)
示例14: minscale
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def minscale(image):
""" Get the minimal scale of an Image, looking at all Image's bands.
For example if:
B1 = 30
B2 = 60
B3 = 10
the function will return 10
:return: the minimal scale
:rtype: ee.Number
"""
bands = image.bandNames()
first = image.select([ee.String(bands.get(0))])
ini = ee.Number(first.projection().nominalScale())
def wrap(name, i):
i = ee.Number(i)
scale = ee.Number(image.select([name]).projection().nominalScale())
condition = scale.lte(i)
newscale = ee.Algorithms.If(condition, scale, i)
return newscale
return ee.Number(bands.slice(1).iterate(wrap, ini))
示例15: doyToDate
# 需要导入模块: import ee [as 别名]
# 或者: from ee import Number [as 别名]
def doyToDate(image, dateFormat='yyyyMMdd', year=None):
""" Make a date band from a day of year band """
if not year:
year = image.date().get('year')
doyband = image.select([0])
leap = date.isLeap(year)
limit = ee.Number(ee.Algorithms.If(leap, 365, 364))
alldoys = ee.List.sequence(1, limit)
def wrap(doy, i):
i = ee.Image(i)
doy = ee.Number(doy)
d = date.fromDOY(doy, year)
date_band = ee.Image.constant(ee.Number.parse(d.format(dateFormat)))
condition = i.eq(doy)
return i.where(condition, date_band)
datei = ee.Image(alldoys.iterate(wrap, doyband))
return datei.rename('date')