Commit 238ce84f authored by Marco Selig's avatar Marco Selig

docstring corrections.

parent 3682c12b
...@@ -67,7 +67,7 @@ apply to fields. ...@@ -67,7 +67,7 @@ apply to fields.
* (and more) * (and more)
*Parts of this summary are taken* [1]_ *without marking them explicitly as *Parts of this summary are taken from* [1]_ *without marking them explicitly as
quotations.* quotations.*
Installation Installation
......
...@@ -33,7 +33,7 @@ ...@@ -33,7 +33,7 @@
The visualization of fields is useful for obvious reasons, and therefore The visualization of fields is useful for obvious reasons, and therefore
some nice color maps are here to be found. Those are segmented color maps some nice color maps are here to be found. Those are segmented color maps
that can be used in many settings, including the native ploting method for that can be used in many settings, including the native plotting method for
fields. (Some of the color maps offered here are results from IFT fields. (Some of the color maps offered here are results from IFT
publications, cf. references below.) publications, cf. references below.)
...@@ -237,4 +237,4 @@ class ncmap(object): ...@@ -237,4 +237,4 @@ class ncmap(object):
return cm("Plus Minus", segmentdata, N=int(ncolors), gamma=1.0) return cm("Plus Minus", segmentdata, N=int(ncolors), gamma=1.0)
##----------------------------------------------------------------------------- ##-----------------------------------------------------------------------------
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...@@ -36,11 +36,11 @@ ...@@ -36,11 +36,11 @@
homogeneity and isotropy. Fields which are only statistically homogeneous homogeneity and isotropy. Fields which are only statistically homogeneous
can also be created using the diagonal operator routine. can also be created using the diagonal operator routine.
In the moment, NIFTy offers one additional routine for power spectrum At the moment, NIFTy offers one additional routine for power spectrum
manipulation, the smooth_power function to smooth a power spectrum with a manipulation, the smooth_power function to smooth a power spectrum with a
Gaussian convolution kernel. This can be necessary in cases where power Gaussian convolution kernel. This can be necessary in cases where power
spectra are reconstructed and reused in an interative algorithm, where spectra are reconstructed and reused in an iterative algorithm, where
too much statistical variation might effect severely the results. too much statistical variation might severely effect the results.
""" """
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