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[Python] Fix links to pyarrow docs (#178)
albertvillanova committed Apr 7, 2022
1 parent d007b6a commit 216798d06bdfe3f1844548d76d16544fed4473a2
Showing 1 changed file with 12 additions and 12 deletions.
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@@ -13,7 +13,7 @@ Computing Mean/Min/Max values of an array
=========================================

Arrow provides compute functions that can be applied to arrays.
Those compute functions are exposed through the :mod:`arrow.compute`
Those compute functions are exposed through the :mod:`pyarrow.compute`
module.

.. testsetup::
@@ -33,7 +33,7 @@ Given an array with 100 numbers, from 0 to 99

0 .. 99

We can compute the ``mean`` using the :func:`arrow.compute.mean`
We can compute the ``mean`` using the :func:`pyarrow.compute.mean`
function

.. testcode::
@@ -47,7 +47,7 @@ function

49.5

And the ``min`` and ``max`` using the :func:`arrow.compute.min_max`
And the ``min`` and ``max`` using the :func:`pyarrow.compute.min_max`
function

.. testcode::
@@ -65,7 +65,7 @@ Counting Occurrences of Elements
================================

Arrow provides compute functions that can be applied to arrays,
those compute functions are exposed through the :mod:`arrow.compute`
those compute functions are exposed through the :mod:`pyarrow.compute`
module.

.. testsetup::
@@ -84,8 +84,8 @@ Given an array with all numbers from 0 to 9 repeated 10 times

LEN: 100, MIN/MAX: 0 .. 9

We can count occurences of all entries in the array using the
:func:`arrow.compute.value_counts` function
We can count occurrences of all entries in the array using the
:func:`pyarrow.compute.value_counts` function

.. testcode::

@@ -111,7 +111,7 @@ We can count occurences of all entries in the array using the
Applying arithmetic functions to arrays.
=========================================

The compute functions in :mod:`arrow.compute` also include
The compute functions in :mod:`pyarrow.compute` also include
common transformations such as arithmetic functions.

Given an array with 100 numbers, from 0 to 99
@@ -124,7 +124,7 @@ Given an array with 100 numbers, from 0 to 99

0 .. 99

We can multiply all values by 2 using the :func:`arrow.compute.multiply`
We can multiply all values by 2 using the :func:`pyarrow.compute.multiply`
function

.. testcode::
@@ -431,7 +431,7 @@ Prepare data;
keys: [["a","a","b","b","b","c","d","d","e","c"]]
values: [[15,20,3,4,5,6,10,1,14,123]]

Then applying sort;
Then applying sort with :meth:`pyarrow.Table.sort_by`;

.. testcode::

@@ -453,12 +453,12 @@ Searching for values matching a predicate in Arrays
===================================================

If you have to look for values matching a predicate in Arrow arrays
the :mod:`arrow.compute` module provides several methods that
the :mod:`pyarrow.compute` module provides several methods that
can be used to find the values you are looking for.

For example, given an array with numbers from 0 to 9, if we
want to look only for those greater than 5 we could use the
func:`arrow.compute.greater` method and get back the elements
:func:`pyarrow.compute.greater` method and get back the elements
that fit our predicate

.. testcode::
@@ -487,7 +487,7 @@ that fit our predicate
]

Furthermore we can filter the array to get only the entries
that match our predicate
that match our predicate with :func:`pyarrow.compute.filter`

.. testcode::