Did I find the right examples for you? yes no

# numpy

All Samples(46863)  |  Call(2)  |  Derive(0)  |  Import(46861)
```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 ..utils import inique, permuted_signs, permuted_with_signs

from ..taitbryan import euler2mat
```

```
import numpy as np
from nipy.algorithms.statistics import onesample
from scipy.stats import norm

```

```""" Testing resample function
"""

import numpy as np

```

```import numpy as np
import matplotlib.pyplot as plt
from scipy import stats

npoints = 20 # number of integer support points of the distribution minus 1
```

```import numpy as np
import matplotlib.pyplot as plt
from scipy import stats

npoints = 20 # number of integer support points of the distribution minus 1
```

```import numpy as np
from scipy.optimize import root
from scipy.sparse import spdiags, kron
from scipy.sparse.linalg import spilu, LinearOperator
from numpy import cosh, zeros_like, mgrid, zeros, eye
```

```from datetime import datetime

import numpy as np

from pandas import DataFrame, Series, datetools
```
```#Example TSA ARMA

import numpy as np
import statsmodels.api as sm

```

```# ## Example 1: Probit model
from __future__ import print_function
import numpy as np
from scipy import stats
import statsmodels.api as sm
```
```#

import numpy as np
from scipy.stats import nbinom

```

```"""

import numpy as np
import matplotlib.pyplot as plt

```
```from skimage.filter.rank import entropy
from skimage.morphology import disk
import numpy as np
import matplotlib.pyplot as plt

```

```"""