dbuscombe-usgs

from Tkinter import Tk
from tkFileDialog import askopenfilename, askdirectory
import tkMessageBox
import os
from scipy.io import loadmat, savemat
import numpy as np

def get_mmap_data(filename, dtype, shape):
    with open(filename, 'r') as ff:
       fp = np.memmap(ff, dtype=dtype, mode='r', shape=shape)

dbuscombe-usgs

import matplotlib.pyplot as plt
import os
import numpy as np
from scipy.io import loadmat

sonpath = '/home/mydata/sonpath'
humfile = '/home/mydata/humfile.DAT'

# maximum range in m to shwo
maxy = 35

dbuscombe-usgs

from scipy.io import loadmat
import simplekml
import pyproj
import numpy as np

my_meta_file = '/home/dbuscombe/pyhum_test/testclipmeta.mat'

cs2cs_args="epsg:26949"

metadat = loadmat(my_meta_file)

dbuscombe-usgs

import numpy as np

def cart2pol(x, y):
    '''
    cartesian to polar coordinates
    '''
    theta = np.arctan2(y, x)
    rho = np.sqrt(x**2 + y**2)
    return (theta, rho) 

dbuscombe-usgs

import numpy as np
import matplotlib.pylab as plt

# generate some data
x = np.random.rand(1000,1)

# get the class
import RunningStats

# get an instance of the class

dbuscombe-usgs

import numpy as np
import matplotlib.pylab as plt

# generate some data
x = np.random.rand(1000,1)

# get the class
import RunningStats

# get an instance of the class

dbuscombe-usgs

import numpy as np

# generate some data
x = np.random.rand(1000,1)

# get the class
import RunningStats

# get an instance of the class
rs = RunningStats.RunningStats()

dbuscombe-usgs

swig -c++ -python RunningStats.i

dbuscombe-usgs

/* File: RunningStats.i */
%module RunningStats

%{
#define SWIG_FILE_WITH_INIT
#include "RunningStats.h"
%}

%include "RunningStats.h"

dbuscombe-usgs

"""
setup.py file for RunningStats
"""

from distutils.core import setup, Extension

RunningStats_module = Extension('_RunningStats',
                           sources=['RunningStats_wrap.cxx', 'RunningStats.cpp'],
                           )