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# numpy.pi

All Samples(834)  |  Call(0)  |  Derive(0)  |  Import(834)
```float(x) -> floating point number

Convert a string or number to a floating point number, if possible.
```

```
import numpy as np
from numpy import (asarray, array, diag, kron, prod, floor, ceil, sqrt, log2, exp, angle, arange, linspace,
logical_not, sin, cos, arctan2, empty, zeros, ones, eye, sort, nonzero, pi, trace, dot, meshgrid, r_)
from numpy.linalg import eig, norm
```

```
# Major library imports
from numpy import arange, linspace, nanmin, nanmax, newaxis, pi, sin, cos

# Enthought library imports
```

```  def sanity_firstExample(self):
# Import numpy and matplotlib
from numpy import arange, sqrt, exp, pi, random, ones
import matplotlib.pylab as mpl
# ... and now the funcFit module
```
```  def sanity_CombiningModels(self):
# Import numpy and matplotlib
from numpy import arange, sqrt, exp, pi, random, ones
import matplotlib.pylab as mpl
# ... and now the funcFit package
```
```  def sanity_MCMCSampler(self):
# Import some required modules
from numpy import arange, sqrt, exp, pi, random, ones
import matplotlib.pylab as mpl
import pymc
```
```  def sanity_Overbinning(self):
# Import numpy and matplotlib
from numpy import arange, sqrt, exp, pi, random, ones
import matplotlib.pylab as mpl
# ... and now the funcFit module
```

```
from __future__ import division
from numpy import sqrt, arange, pi, cos, sin, mgrid, ones_like, arccos, \
set_printoptions, nan, array, reshape, cross, hstack
from enthought.mayavi import mlab
```

```
from __future__ import division
from numpy import sqrt, arange, pi, cos, sin, mgrid, ones_like, arccos, \
set_printoptions, nan, array, reshape, cross, hstack
from enthought.mayavi import mlab
```

```    # it is matlab/pylab
from numpy.fft import ifftshift,fftfreq
from numpy import pi,newaxis,floor

nr,nc=np.shape(inp);
```
```    # it is matlab/pylab
from numpy.fft import ifftshift,fftfreq
from numpy import pi,newaxis,floor

insize, = inp.shape
```
```def odddftups(inp,nor=None,noc=None,usfac=1,roff=0,coff=0):
from numpy.fft import ifftshift
from numpy import pi,newaxis,floor

nr,nc=np.shape(inp);
```
```    # breakdown of the dft upsampling method
from numpy.fft import ifftshift
from numpy import pi,newaxis,floor

from pylab import *
```

```# License: BSD Style.

from numpy import arange, zeros, float32, float64, uint8, \
atleast_3d, exp, sqrt, pi

```

```""" LOGO overlay """

from __future__ import with_statement

from numpy import array, cos, invert, isnan, nan, pi, sin, vstack
```

```# License: BSD Style.

from numpy import arange, zeros, float32, float64, uint8, \
atleast_3d, exp, sqrt, pi

```

```# License: BSD style.