Example usage

FlowTools does not yet include an data i/o, and requires that the user load data and format it correctly before constructing a FlowField object. Load data and arrange it into dicts of np.arrays where each array has a common shape.

import numpy as np
import matplotlib.pyplot as plt
import FlowTools as ft

# load data and make dictionaries for velocity and coordinates
indat = h5py.File('testdata.csv')

u = np.asarray(indat['u'])
v = np.asarray(indat['v'])
w = np.asarray(indat['w'])
x = np.asarray(indat['x'])
y = np.asarray(indat['y'])
z = np.asarray(indat['z'])
timevec = np.asarray(indat['t'])

velocities = {'u': u,
              'v': v,
              'w': w}

coordinates = {'x': x,
               'y': y,
               'z': z,
               't': timevec}

# create FlowField object
testflow = ft.FlowField(velocities, coordinates)

# print object attributes
testflow.who()