Misc. Typo fixes

appveyor.yml

@@ -11,7 +11,7 @@ matrix:
 environment:
   global:
     # SDK v7.0 MSVC Express 2008's SetEnv.cmd script will fail if the
-    # /E:ON and /V:ON options are not enabled in the batch script intepreter
+    # /E:ON and /V:ON options are not enabled in the batch script interpreter
     # See: http://stackoverflow.com/a/13751649/163740
     CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\ci\\run_with_env.cmd"
     clone_folder: C:\projects\pandas

asv_bench/benchmarks/frame_ctor.py

@@ -4,7 +4,7 @@
 try:
     from pandas.tseries.offsets import Nano, Hour
 except ImportError:
-    # For compatability with older versions
+    # For compatibility with older versions
     from pandas.core.datetools import * # noqa
 
 from .pandas_vb_common import setup # noqa

asv_bench/benchmarks/pandas_vb_common.py

@@ -18,8 +18,8 @@
                   np.float64, np.int16, np.int8, np.uint16, np.uint8]
 datetime_dtypes = [np.datetime64, np.timedelta64]
 
-# This function just needs to be imported into each benchmark file in order to 
-# sets up the random seed before each function. 
+# This function just needs to be imported into each benchmark file in order to
+# sets up the random seed before each function.
 # http://asv.readthedocs.io/en/latest/writing_benchmarks.html
 def setup(*args, **kwargs):
     np.random.seed(1234)
@@ -36,14 +36,14 @@ def remove(self, f):
         try:
             os.remove(f)
         except:
-            # On Windows, attempting to remove a file that is in use 
+            # On Windows, attempting to remove a file that is in use
             # causes an exception to be raised
             pass
 
     def teardown(self, *args, **kwargs):
         self.remove(self.fname)
 
-# Compatability import for lib
+# Compatibility import for lib
 for imp in ['pandas._libs.lib', 'pandas.lib', 'pandas_tseries']:
     try:
         lib = import_module(imp)

doc/source/_static/banklist.html

@@ -7,7 +7,7 @@
 <meta charset="UTF-8">
 <!-- Unicode character encoding -->
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<!-- Turns off IE Compatiblity Mode -->
+<!-- Turns off IE Compatibility Mode -->
 <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
 <!-- Makes it so phones don't auto zoom out. -->
 <meta name="author" content="DRR">
@@ -4849,7 +4849,7 @@ <h1 class="page_title">Failed Bank List</h1>
 		<ul>
 			<li><a href="/about/freedom/" title="Freedom of Information Act (FOIA) Service Center">Freedom of Information Act (FOIA) Service Center</a></li>
 			<li><a href="/open/" title="FDIC Open Government Webpage">FDIC Open Government Webpage</a></li>
-			<li><a href="/about/diversity/nofear/" title="No FEAR Act Data">No  FEAR Act Data</a></li>
+			<li><a href="/about/diversity/nofear/" title="No FEAR Act Data">No FEAR Act Data</a></li>
 		</ul>
 	</div>
 	<div id="responsive_footer-small">

doc/source/api.rst

@@ -10,7 +10,7 @@ methods. In general, all classes and functions exposed in the top-level
 ``pandas.*`` namespace are regarded as public.
 
 Further some of the subpackages are public, including ``pandas.errors``,
-``pandas.plotting``, and ``pandas.testing``. Certain functions in the the
+``pandas.plotting``, and ``pandas.testing``. Certain functions in the
 ``pandas.io`` and ``pandas.tseries`` submodules are public as well (those
 mentioned in the documentation). Further, the ``pandas.api.types`` subpackage
 holds some public functions related to data types in pandas.

doc/source/basics.rst

@@ -947,7 +947,7 @@ Mixed Dtypes
 ++++++++++++
 
 When presented with mixed dtypes that cannot aggregate, ``.agg`` will only take the valid
-aggregations. This is similiar to how groupby ``.agg`` works.
+aggregations. This is similar to how groupby ``.agg`` works.
 
 .. ipython:: python
 

doc/source/computation.rst

@@ -247,7 +247,7 @@ These are created from methods on ``Series`` and ``DataFrame``.
    r = s.rolling(window=60)
    r
 
-These object provide tab-completion of the avaible methods and properties.
+These object provide tab-completion of the available methods and properties.
 
 .. code-block:: ipython
 

doc/source/conf.py

@@ -380,7 +380,7 @@
     'import pandas as pd',
     # This ensures correct rendering on system with console encoding != utf8
     # (windows). It forces pandas to encode its output reprs using utf8
-    # whereever the docs are built. The docs' target is the browser, not
+    # wherever the docs are built. The docs' target is the browser, not
     # the console, so this is fine.
     'pd.options.display.encoding="utf8"'
     ]

doc/source/contributing.rst

@@ -124,16 +124,16 @@ to build the documentation locally before pushing your changes.
 
 .. _contributiong.dev_c:
 
-Installing a C Complier
+Installing a C Compiler
 ~~~~~~~~~~~~~~~~~~~~~~~
 
 Pandas uses C extensions (mostly written using Cython) to speed up certain
 operations. To install pandas from source, you need to compile these C
-extensions, which means you need a C complier. This process depends on which
+extensions, which means you need a C compiler. This process depends on which
 platform you're using. Follow the `CPython contributing guidelines
 <https://docs.python.org/devguide/setup.html#build-dependencies>`_ for getting a
-complier installed. You don't need to do any of the ``./configure`` or ``make``
-steps; you only need to install the complier.
+compiler installed. You don't need to do any of the ``./configure`` or ``make``
+steps; you only need to install the compiler.
 
 For Windows developers, the following links may be helpful.
 
@@ -151,7 +151,7 @@ Let us know if you have any difficulties by opening an issue or reaching out on
 Creating a Python Environment
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-Now that you have a C complier, create an isolated pandas development
+Now that you have a C compiler, create an isolated pandas development
 environment:
 
 - Install either `Anaconda <https://www.anaconda.com/download/>`_ or `miniconda

doc/source/developer.rst

@@ -40,7 +40,7 @@ where ``KeyValue`` is
    }
 
 So that a ``pandas.DataFrame`` can be faithfully reconstructed, we store a
-``pandas`` metadata key in the ``FileMetaData`` with the the value stored as :
+``pandas`` metadata key in the ``FileMetaData`` with the value stored as :
 
 .. code-block:: text
 

doc/source/dsintro.rst

@@ -470,7 +470,7 @@ derived from existing columns.
         .head())
 
 In the example above, we inserted a precomputed value. We can also pass in
-a function of one argument to be evalutated on the DataFrame being assigned to.
+a function of one argument to be evaluated on the DataFrame being assigned to.
 
 .. ipython:: python
 
@@ -957,7 +957,7 @@ pandas to focus on these areas exclusively.
 
 Oftentimes, one can simply use a MultiIndex ``DataFrame`` for easily working with higher dimensional data.
 
-In additon, the ``xarray`` package was built from the ground up, specifically in order to
+In addition, the ``xarray`` package was built from the ground up, specifically in order to
 support the multi-dimensional analysis that is one of ``Panel`` s main usecases.
 `Here is a link to the xarray panel-transition documentation <http://xarray.pydata.org/en/stable/pandas.html#panel-transition>`__.
 

doc/source/enhancingperf.rst

@@ -173,7 +173,7 @@ Using ndarray
 
 It's calling series... a lot! It's creating a Series from each row, and get-ting from both
 the index and the series (three times for each row). Function calls are expensive
-in python, so maybe we could minimise these by cythonizing the apply part.
+in python, so maybe we could minimize these by cythonizing the apply part.
 
 .. note::
 
@@ -578,7 +578,7 @@ on the original ``DataFrame`` or return a copy with the new column.
 
 .. warning::
 
-   For backwards compatability, ``inplace`` defaults to ``True`` if not
+   For backwards compatibility, ``inplace`` defaults to ``True`` if not
    specified. This will change in a future version of pandas - if your
    code depends on an inplace assignment you should update to explicitly
    set ``inplace=True``

doc/source/indexing.rst

@@ -651,7 +651,7 @@ Indexing with list with missing labels is Deprecated
 
 In prior versions, using ``.loc[list-of-labels]`` would work as long as *at least 1* of the keys was found (otherwise it
 would raise a ``KeyError``). This behavior is deprecated and will show a warning message pointing to this section. The
-recommeded alternative is to use ``.reindex()``.
+recommended alternative is to use ``.reindex()``.
 
 For example.
 
@@ -724,7 +724,7 @@ Having a duplicated index will raise for a ``.reindex()``:
    In [17]: s.reindex(labels)
    ValueError: cannot reindex from a duplicate axis
 
-Generally, you can interesect the desired labels with the current
+Generally, you can intersect the desired labels with the current
 axis, and then reindex.
 
 .. ipython:: python

doc/source/install.rst

@@ -152,7 +152,7 @@ To install pandas for Python 2 you may need to use the package ``python-pandas``
     Debian, stable, `official Debian repository <http://packages.debian.org/search?keywords=pandas&searchon=names&suite=all&section=all>`__ , ``sudo apt-get install python3-pandas``
     Debian & Ubuntu, unstable (latest packages), `NeuroDebian <http://neuro.debian.net/index.html#how-to-use-this-repository>`__ , ``sudo apt-get install python3-pandas``
     Ubuntu, stable, `official Ubuntu repository <http://packages.ubuntu.com/search?keywords=pandas&searchon=names&suite=all&section=all>`__ , ``sudo apt-get install python3-pandas``
-    OpenSuse, stable, `OpenSuse Repository  <http://software.opensuse.org/package/python-pandas?search_term=pandas>`__ , ``zypper in  python3-pandas``
+    OpenSuse, stable, `OpenSuse Repository  <http://software.opensuse.org/package/python-pandas?search_term=pandas>`__ , ``zypper in python3-pandas``
     Fedora, stable, `official Fedora repository  <https://admin.fedoraproject.org/pkgdb/package/rpms/python-pandas/>`__ , ``dnf install python3-pandas``
     Centos/RHEL, stable, `EPEL repository <https://admin.fedoraproject.org/pkgdb/package/rpms/python-pandas/>`__ , ``yum install python3-pandas``
 

doc/source/io.rst

@@ -1048,7 +1048,7 @@ The ``thousands`` keyword allows integers to be parsed correctly
 NA Values
 '''''''''
 
-To control which values are parsed as missing values (which are signified by ``NaN``), specifiy a
+To control which values are parsed as missing values (which are signified by ``NaN``), specify a
 string in ``na_values``. If you specify a list of strings, then all values in
 it are considered to be missing values. If you specify a number (a ``float``, like ``5.0`` or an ``integer`` like ``5``),
 the corresponding equivalent values will also imply a missing value (in this case effectively
@@ -4153,7 +4153,7 @@ Caveats
 
 .. warning::
 
-   ``PyTables`` will show a ``NaturalNameWarning`` if a  column name
+   ``PyTables`` will show a ``NaturalNameWarning`` if a column name
    cannot be used as an attribute selector.
    *Natural* identifiers contain only letters, numbers, and underscores,
    and may not begin with a number.
@@ -4478,7 +4478,7 @@ Several caveats.
 - Non supported types include ``Period`` and actual python object types. These will raise a helpful error message
   on an attempt at serialization.
 
-You can specifiy an ``engine`` to direct the serialization. This can be one of ``pyarrow``, or ``fastparquet``, or ``auto``.
+You can specify an ``engine`` to direct the serialization. This can be one of ``pyarrow``, or ``fastparquet``, or ``auto``.
 If the engine is NOT specified, then the ``pd.options.io.parquet.engine`` option is checked; if this is also ``auto``, then
 then ``pyarrow`` is tried, and falling back to ``fastparquet``.
 

doc/source/options.rst

@@ -164,7 +164,7 @@ lines are replaced by an ellipsis.
    df
    pd.reset_option('max_rows')
 
-``display.expand_frame_repr`` allows for the the representation of
+``display.expand_frame_repr`` allows for the representation of
 dataframes to stretch across pages, wrapped over the full column vs row-wise.
 
 .. ipython:: python

doc/source/overview.rst

@@ -109,7 +109,7 @@ Wes McKinney is the Benevolent Dictator for Life (BDFL).
 Development Team
 -----------------
 
-The list of the  Core Team members and more detailed information can be found on the `people’s page <https://github.com/pandas-dev/pandas-governance/blob/master/people.md>`__ of the governance repo.
+The list of the Core Team members and more detailed information can be found on the `people’s page <https://github.com/pandas-dev/pandas-governance/blob/master/people.md>`__ of the governance repo.
 
 
 Institutional Partners

doc/source/release.rst

@@ -2043,7 +2043,7 @@ Bug Fixes
 - Fixed missing arg validation in get_options_data (:issue:`6105`)
 - Bug in assignment with duplicate columns in a frame where the locations
   are a slice (e.g. next to each other) (:issue:`6120`)
-- Bug in propogating _ref_locs during construction of a DataFrame with dups
+- Bug in propagating _ref_locs during construction of a DataFrame with dups
   index/columns (:issue:`6121`)
 - Bug in ``DataFrame.apply`` when using mixed datelike reductions (:issue:`6125`)
 - Bug in ``DataFrame.append`` when appending a row with different columns (:issue:`6129`)
@@ -2056,7 +2056,7 @@ Bug Fixes
 - Bug in ``HDFStore`` on appending a dataframe with multi-indexed columns to
   an existing table (:issue:`6167`)
 - Consistency with dtypes in setting an empty DataFrame (:issue:`6171`)
-- Bug in  selecting on a multi-index ``HDFStore`` even in the presence of under
+- Bug in selecting on a multi-index ``HDFStore`` even in the presence of under
   specified column spec (:issue:`6169`)
 - Bug in ``nanops.var`` with ``ddof=1`` and 1 elements would sometimes return ``inf``
   rather than ``nan`` on some platforms (:issue:`6136`)
@@ -2437,7 +2437,7 @@ API Changes
 - The refactoring involving``Series`` deriving from ``NDFrame`` breaks ``rpy2<=2.3.8``. an Issue
   has been opened against rpy2 and a workaround is detailed in :issue:`5698`. Thanks @JanSchulz.
 - ``Series.argmin`` and ``Series.argmax`` are now aliased to ``Series.idxmin`` and ``Series.idxmax``.
-  These return the *index* of the  min or max element respectively. Prior to 0.13.0 these would return
+  These return the *index* of the min or max element respectively. Prior to 0.13.0 these would return
   the position of the min / max element (:issue:`6214`)
 
 Internal Refactoring
@@ -3097,7 +3097,7 @@ Bug Fixes
 - Fixed bug where a time-series was being selected in preference to an actual column name
   in a frame (:issue:`3594`)
 - Make secondary_y work properly for bar plots (:issue:`3598`)
-- Fix modulo and integer division on Series,DataFrames to act similary to ``float`` dtypes to return
+- Fix modulo and integer division on Series,DataFrames to act similarly to ``float`` dtypes to return
   ``np.nan`` or ``np.inf`` as appropriate (:issue:`3590`)
 - Fix incorrect dtype on groupby with ``as_index=False`` (:issue:`3610`)
 - Fix ``read_csv/read_excel`` to correctly encode identical na_values, e.g. ``na_values=[-999.0,-999]``
@@ -3400,11 +3400,11 @@ Bug Fixes
 - Fixed bug in reshape if not passed correct input, now raises TypeError (:issue:`2719`)
 - Fixed a bug where Series ctor did not respect ordering if OrderedDict passed in (:issue:`3282`)
 - Fix NameError issue on RESO_US (:issue:`2787`)
-- Allow selection in an *unordered* timeseries to work similary
+- Allow selection in an *unordered* timeseries to work similarly
   to an *ordered* timeseries (:issue:`2437`).
 - Fix implemented ``.xs`` when called with ``axes=1`` and a level parameter (:issue:`2903`)
 - Timestamp now supports the class method fromordinal similar to datetimes (:issue:`3042`)
-- Fix issue with indexing a series with a boolean key and specifiying a 1-len list on the rhs (:issue:`2745`)
+- Fix issue with indexing a series with a boolean key and specifying a 1-len list on the rhs (:issue:`2745`)
   or a list on the rhs (:issue:`3235`)
 - Fixed bug in groupby apply when kernel generate list of arrays having unequal len (:issue:`1738`)
 - fixed handling of rolling_corr with center=True which could produce corr>1 (:issue:`3155`)
@@ -3555,7 +3555,7 @@ Bug Fixes
 - Upconvert datetime + datetime64 values when concatenating frames (:issue:`2624`)
 - Raise a more helpful error message in merge operations when one DataFrame
   has duplicate columns (:issue:`2649`)
-- Fix partial date parsing issue occuring only when code is run at EOM
+- Fix partial date parsing issue occurring only when code is run at EOM
   (:issue:`2618`)
 - Prevent MemoryError when using counting sort in sortlevel with
   high-cardinality MultiIndex objects (:issue:`2684`)
@@ -3973,7 +3973,7 @@ Bug Fixes
 - Don't lose tzinfo when passing DatetimeIndex as DataFrame column (:issue:`1682`)
 - Fix tz conversion with time zones that haven't had any DST transitions since
   first date in the array (:issue:`1673`)
-- Fix field access with  UTC->local conversion on unsorted arrays (:issue:`1756`)
+- Fix field access with UTC->local conversion on unsorted arrays (:issue:`1756`)
 - Fix isnull handling of array-like (list) inputs (:issue:`1755`)
 - Fix regression in handling of Series in Series constructor (:issue:`1671`)
 - Fix comparison of Int64Index with DatetimeIndex (:issue:`1681`)
@@ -4525,7 +4525,7 @@ Bug Fixes
 - Fix na-filling handling in mixed-type DataFrame (:issue:`910`)
 - Fix to DataFrame.set_value with non-existant row/col (:issue:`911`)
 - Fix malformed block in groupby when excluding nuisance columns (:issue:`916`)
-- Fix inconsistant NA handling in dtype=object arrays (:issue:`925`)
+- Fix inconsistent NA handling in dtype=object arrays (:issue:`925`)
 - Fix missing center-of-mass computation in ewmcov (:issue:`862`)
 - Don't raise exception when opening read-only HDF5 file (:issue:`847`)
 - Fix possible out-of-bounds memory access in 0-length Series (:issue:`917`)
@@ -5395,9 +5395,9 @@ pandas 0.4.3
 
 **Release date:** 10/9/2011
 
-is is largely a bugfix release from 0.4.2 but also includes a handful of new
-d enhanced features. Also, pandas can now be installed and used on Python 3
-hanks Thomas Kluyver!).
+This is largely a bugfix release from 0.4.2 but also includes a handful of new
+and enhanced features. Also, pandas can now be installed and used on Python 3
+(thanks Thomas Kluyver!).
 
 New Features
 ~~~~~~~~~~~~
@@ -5460,9 +5460,9 @@ pandas 0.4.2
 
 **Release date:** 10/3/2011
 
-is is a performance optimization release with several bug fixes. The new
-t64Index and new merging / joining Cython code and related Python
-frastructure are the main new additions
+This is a performance optimization release with several bug fixes. The new
+Int64Index and new merging / joining Cython code and related Python
+infrastructure are the main new additions
 
 New Features
 ~~~~~~~~~~~~
@@ -5537,7 +5537,7 @@ pandas 0.4.1
 
 **Release date:** 9/25/2011
 
-is is primarily a bug fix release but includes some new features and
+This is primarily a bug fix release but includes some new features and
 improvements
 
 New Features

doc/source/style.ipynb

@@ -318,7 +318,7 @@
     "Both `Styler.apply`, and `Styler.applymap` accept a `subset` keyword.\n",
     "This allows you to apply styles to specific rows or columns, without having to code that logic into your `style` function.\n",
     "\n",
-    "The value passed to `subset` behaves simlar to slicing a DataFrame.\n",
+    "The value passed to `subset` behaves similar to slicing a DataFrame.\n",
     "\n",
     "- A scalar is treated as a column label\n",
     "- A list (or series or numpy array)\n",

doc/source/timeseries.rst

@@ -1580,7 +1580,7 @@ We can instead only resample those groups where we have points as follows:
 Aggregation
 ~~~~~~~~~~~
 
-Similar to the :ref:`aggregating API <basics.aggregate>`, :ref:`groupby API <groupby.aggregate>`, and  the :ref:`window functions API <stats.aggregate>`,
+Similar to the :ref:`aggregating API <basics.aggregate>`, :ref:`groupby API <groupby.aggregate>`, and the :ref:`window functions API <stats.aggregate>`,
 a ``Resampler`` can be selectively resampled.
 
 Resampling a ``DataFrame``, the default will be to act on all columns with the same function.
@@ -2108,7 +2108,7 @@ tz-aware data to another time zone:
 
        It is incorrect to pass a timezone directly into the ``datetime.datetime`` constructor (e.g.,
        ``datetime.datetime(2011, 1, 1, tz=timezone('US/Eastern'))``.  Instead, the datetime
-       needs to be localized using the the localize method on the timezone.
+       needs to be localized using the localize method on the timezone.
 
 Under the hood, all timestamps are stored in UTC. Scalar values from a
 ``DatetimeIndex`` with a time zone will have their fields (day, hour, minute)