Python set_logfile Beispiele

Beispiel #1

"""

import pickle

import pylab
import numpy
from enthought.mayavi import mlab

from fatiando.grav import synthetic, io
from fatiando import utils, vis, geometry

# Get a logger for the script
log = utils.get_logger()

# Set logging to a file
utils.set_logfile('make_data.log')

# Log a header with the current version info
log.info(utils.header())

# Make the prism model
prisms = []
prisms.append(
    geometry.prism(x1=600,
                   x2=1200,
                   y1=200,
                   y2=4200,
                   z1=100,
                   z2=600,
                   props={'value': 1300}))
prisms.append(

Beispiel #2

import cPickle as pickle
import pylab
import numpy
from enthought.mayavi import mlab

import fatiando.inv.gplant as gplant
import fatiando.grav.synthetic as synthetic
import fatiando.mesh
import fatiando.utils as utils
import fatiando.vis as vis

# Get a logger
log = utils.get_logger()
# Set logging to a file
utils.set_logfile('interp-model-gen.log')
# Log a header with the current version info
log.info(utils.header())

# GENERATE SYNTHETIC DATA
################################################################################
# Make the prism model
model = []
model.append({'x1':1000, 'x2':2000, 'y1':1000, 'y2':2000, 'z1':1000, 'z2':2000,
               'value':1000})
model = numpy.array(model)

x1, x2 = 0, 3000
y1, y2 = 0, 3000
z1, z2 = 0, 3000
extent = [x1, x2, y1, y2, -z2, -z1]

Beispiel #3

Datei: run_synthetic.py Projekt: whigg/sbgf2011

import pylab
import numpy
from enthought.mayavi import mlab

import fatiando.inv.gplant as gplant
import fatiando.grav.io as io
import fatiando.grav.synthetic as synthetic
import fatiando.mesh
import fatiando.utils as utils
import fatiando.vis as vis

# Get a logger
#log = utils.get_logger(logging.WARNING)
log = utils.get_logger()
# Set logging to a file
utils.set_logfile('synthetic.log')
# Log a header with the current version info
log.info(utils.header())

# GENERATE SYNTHETIC DATA
################################################################################
# Make the prism model
model = []
model.append({
    'x1': 15000,
    'x2': 85000,
    'y1': 15000,
    'y2': 35000,
    'z1': 0,
    'z2': 8000,
    'value': 300

Beispiel #4

Datei: run_synthetic.py Projekt: leouieda/seg2011

import pylab
import numpy
from enthought.mayavi import mlab

import fatiando.inv.gplant as gplant
import fatiando.grav.io as io
import fatiando.grav.synthetic as synthetic
import fatiando.mesh
import fatiando.utils as utils
import fatiando.vis as vis

# Get a logger
log = utils.get_logger()
# Set logging to a file
utils.set_logfile('synthetic.log')
# Log a header with the current version info
log.info(utils.header())

# GENERATE SYNTHETIC DATA
################################################################################
# Make the prism model
model = []
model.append({'x1':500, 'x2':4500, 'y1':3000, 'y2':3500, 'z1':200, 'z2':700,
              'value':1000})
model.append({'x1':3000, 'x2':4500, 'y1':1800, 'y2':2300, 'z1':200, 'z2':700,
              'value':1000})
model.append({'x1':500, 'x2':1500, 'y1':500, 'y2':1500, 'z1':0, 'z2':800,
              'value':600})
model.append({'x1':300, 'x2':2500, 'y1':1800, 'y2':2700, 'z1':500, 'z2':1000,
              'value':-1000})

Beispiel #5

import cPickle as pickle
import pylab
import numpy
from enthought.mayavi import mlab

import fatiando.inv.gplant as gplant
import fatiando.grav.synthetic as synthetic
import fatiando.mesh
import fatiando.utils as utils
import fatiando.vis as vis

log = utils.get_logger()
utils.set_logfile('run.log')
log.info(utils.header())

# GENERATE SYNTHETIC DATA
################################################################################
# Make the prism model
model = []
model.append({'x1':600, 'x2':1600, 'y1':1000, 'y2':2000, 'z1':800, 'z2':1800,
               'value':500})
model.append({'x1':3400, 'x2':4400, 'y1':1000, 'y2':2000, 'z1':1600, 'z2':2600,
               'value':1000})
model = numpy.array(model)
with open("model.pickle", 'w') as f:
    pickle.dump(model, f)

x1, x2 = 0, 5000
y1, y2 = 0, 3000
z1, z2 = 0, 3000
extent = [x1, x2, y1, y2, -z2, -z1]

Beispiel #6

import pickle

import pylab
import numpy
from enthought.mayavi import mlab

from fatiando.inv import gplant
from fatiando.grav import io
import fatiando.mesh
from fatiando import utils, vis

# Get a logger
log = utils.get_logger()

# Set logging to a file
utils.set_logfile('plant.log')

# Log a header with the current version info
log.info(utils.header())

# Load the synthetic data
gzz = io.load('gzz.txt')
#gxx = io.load('gxx.txt')
#gxy = io.load('gxy.txt')
#gxz = io.load('gxz.txt')
#gyy = io.load('gyy.txt')
#gyz = io.load('gyz.txt')

topo = io.load_topo('topo.txt')

data = {}

Beispiel #7

Datei: run.py Projekt: cloudroid/sbgf2011

import cPickle as pickle
import pylab
import numpy
from enthought.mayavi import mlab

import fatiando.inv.gplant as gplant
import fatiando.grav.synthetic as synthetic
import fatiando.mesh
import fatiando.utils as utils
import fatiando.vis as vis

log = utils.get_logger()
utils.set_logfile('run.log')
log.info(utils.header())

# GENERATE SYNTHETIC DATA
################################################################################
# Make the prism model
model = []
model.append({'x1':600, 'x2':1600, 'y1':1000, 'y2':2000, 'z1':800, 'z2':1800,
               'value':500})
model.append({'x1':3400, 'x2':4400, 'y1':1000, 'y2':2000, 'z1':1600, 'z2':2600,
               'value':1000})
model = numpy.array(model)
with open("model.pickle", 'w') as f:
    pickle.dump(model, f)

x1, x2 = 0, 5000
y1, y2 = 0, 3000
z1, z2 = 0, 3000
extent = [x1, x2, y1, y2, -z2, -z1]

Beispiel #8

"""

import pickle

import pylab
import numpy
from enthought.mayavi import mlab

from fatiando.grav import synthetic, io
from fatiando import utils, vis, geometry

# Get a logger for the script
log = utils.get_logger()

# Set logging to a file
utils.set_logfile('make_data.log')

# Log a header with the current version info
log.info(utils.header())

# Make the prism model
prisms = []
prisms.append(geometry.prism(x1=600, x2=1200, y1=200, y2=4200, z1=100, z2=600,
                             props={'value':1300}))
prisms.append(geometry.prism(x1=3000, x2=4000, y1=1000, y2=2000, z1=200, z2=800,
                             props={'value':1000}))
prisms.append(geometry.prism(x1=2700, x2=3200, y1=3700, y2=4200, z1=0, z2=900,
                             props={'value':1200}))
prisms.append(geometry.prism(x1=1500, x2=4500, y1=2500, y2=3000, z1=100, z2=500,
                             props={'value':1500}))

Beispiel #9

Datei: plant.py Projekt: whigg/eage2011

import pickle

import pylab
import numpy
from enthought.mayavi import mlab

from fatiando.inv import gplant
from fatiando.grav import io
import fatiando.mesh
from fatiando import utils, vis

# Get a logger
log = utils.get_logger()

# Set logging to a file
utils.set_logfile('plant.log')

# Log a header with the current version info
log.info(utils.header())

# Load the synthetic data
gzz = io.load('gzz.txt')
#gxx = io.load('gxx.txt')
#gxy = io.load('gxy.txt')
#gxz = io.load('gxz.txt')
#gyy = io.load('gyy.txt')
#gyz = io.load('gyz.txt')

topo = io.load_topo('topo.txt')

data = {}