DOC: Fixes for doc/source/user/basics.io.genfromtxt.rst.

Add missing part of usecols negative index explanation and other
minor redaction fixes.

2 files changed, 5 insertions, 5 deletions

diff --git a/doc/source/user/basics.io.genfromtxt.rst b/doc/source/user/basics.io.genfromtxt.rst
index 814ba520a..82c7a661a 100644
--- a/doc/source/user/basics.io.genfromtxt.rst
+++ b/doc/source/user/basics.io.genfromtxt.rst
@@ -150,7 +150,7 @@ In some cases, we are not interested in all the columns of the data but only a f
 We can select which columns to import with the :keyword:`usecols` argument.
 This argument accepts a single integer or a sequence of integers corresponding to the indices of the columns to import.
 Remember that by convention, the first column has an index of 0.
-Negative integers correspond to 
+Negative integers behave the same as regular Python negative indexes.
 
 For example, if we want to import only the first and the last columns, we can use ``usecols=(0, -1)``:
    >>> data = "1 2 3\n4 5 6"
@@ -301,7 +301,7 @@ However, some additional control may sometimes be required.
 For example, we may want to make sure that a date in a format ``YYYY/MM/DD`` is converted to a :class:`datetime` object, or that a string like ``xx%`` is properly converted to a float between 0 and 1.
 In such cases, we should define conversion functions with the :keyword:`converters` arguments.
 
-The value of this argument is typically a dictionary with column indices or column names as keys and a conversion function as values.
+The value of this argument is typically a dictionary with column indices or column names as keys and a conversion functions as values.
 These conversion functions can either be actual functions or lambda functions. In any case, they should accept only a string as input and output only a single element of the wanted type.
 
 In the following example, the second column is converted from as string representing a percentage to a float between 0 and 1
diff --git a/numpy/doc/creation.py b/numpy/doc/creation.py
index b096edd3d..e00c26e54 100644
--- a/numpy/doc/creation.py
+++ b/numpy/doc/creation.py
@@ -106,9 +106,9 @@ check the last section as well)
  HDF5: PyTables
  FITS: PyFITS
 
-Examples of formats that cannot be read directly but for which it is not hard
-to convert are libraries like PIL (able to read and write many image formats
-such as jpg, png, etc).
+Examples of formats that cannot be read directly but for which it is not hard to
+convert are those formats supported by libraries like PIL (able to read and
+write many image formats such as jpg, png, etc).
 
 Common ASCII Formats
 ------------------------