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# numpy

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```NumPy
=====

Provides
1. An array object of arbitrary homogeneous items
2. Fast mathematical operations over arrays
3. Linear Algebra, Fourier Transforms, Random Number Generation

How to use the documentation
----------------------------(more...)
```

```import numpy as np
from ion_state_detector import ion_state_detector

#load the full image and truncate it to to test image procesing of a partial image
# image = np.load('single.npy')
```

```# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:

import os
import numpy as np
```

```#Loading the required packages
import scipy as sp
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
```
```from scipy import linalg, optimize, constants

import numpy
import algopy
import time
```

```import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import numpy as np

try:
```

```import numpy as np
import statsmodels.api as sm
from statsmodels.tsa.api import VAR, SVAR
import matplotlib.pyplot as plt
import statsmodels.tsa.vector_ar.util as util
```

```'''Levinson Durbin recursion adjusted from nitime

'''

import numpy as np
```

```

import numpy as np
from numpy.testing import assert_almost_equal

```

```"""

import numpy as np
from numpy.testing import assert_almost_equal

```

```"""
Look at some macro plots, then do some VARs and IRFs.
"""

import numpy as np
```

```"""