We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Add columns-parameter like in feather.read_dataframe
Wes suggested to raise this feature request here again, after I wondered why `pandas.read_feather` is lacking a `columns`-parameter like the [`feather-format`](https://github.com/wesm/feather) package has it.

You can read in only a subset of columns from a feather-file with e.g.: 
`df = feather.read_dataframe('df_test.feather', columns='b')`

It would be really nice if `pandas.read_feather` also had this built in, so you don't have to install and import the feather-package just for that.

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `pandas/io/feather_format.py`
Content:
```
1 """ feather-format compat """
2 
3 from distutils.version import LooseVersion
4 
5 from pandas.compat import range
6 from pandas.util._decorators import deprecate_kwarg
7 
8 from pandas import DataFrame, Int64Index, RangeIndex
9 
10 from pandas.io.common import _stringify_path
11 
12 
13 def _try_import():
14     # since pandas is a dependency of pyarrow
15     # we need to import on first use
16     try:
17         import pyarrow
18         from pyarrow import feather
19     except ImportError:
20         # give a nice error message
21         raise ImportError("pyarrow is not installed\n\n"
22                           "you can install via conda\n"
23                           "conda install pyarrow -c conda-forge\n"
24                           "or via pip\n"
25                           "pip install -U pyarrow\n")
26 
27     if LooseVersion(pyarrow.__version__) < LooseVersion('0.4.1'):
28         raise ImportError("pyarrow >= 0.4.1 required for feather support\n\n"
29                           "you can install via conda\n"
30                           "conda install pyarrow -c conda-forge"
31                           "or via pip\n"
32                           "pip install -U pyarrow\n")
33 
34     return feather, pyarrow
35 
36 
37 def to_feather(df, path):
38     """
39     Write a DataFrame to the feather-format
40 
41     Parameters
42     ----------
43     df : DataFrame
44     path : string file path, or file-like object
45 
46     """
47     path = _stringify_path(path)
48     if not isinstance(df, DataFrame):
49         raise ValueError("feather only support IO with DataFrames")
50 
51     feather = _try_import()[0]
52     valid_types = {'string', 'unicode'}
53 
54     # validate index
55     # --------------
56 
57     # validate that we have only a default index
58     # raise on anything else as we don't serialize the index
59 
60     if not isinstance(df.index, Int64Index):
61         raise ValueError("feather does not support serializing {} "
62                          "for the index; you can .reset_index()"
63                          "to make the index into column(s)".format(
64                              type(df.index)))
65 
66     if not df.index.equals(RangeIndex.from_range(range(len(df)))):
67         raise ValueError("feather does not support serializing a "
68                          "non-default index for the index; you "
69                          "can .reset_index() to make the index "
70                          "into column(s)")
71 
72     if df.index.name is not None:
73         raise ValueError("feather does not serialize index meta-data on a "
74                          "default index")
75 
76     # validate columns
77     # ----------------
78 
79     # must have value column names (strings only)
80     if df.columns.inferred_type not in valid_types:
81         raise ValueError("feather must have string column names")
82 
83     feather.write_feather(df, path)
84 
85 
86 @deprecate_kwarg(old_arg_name='nthreads', new_arg_name='use_threads')
87 def read_feather(path, use_threads=True):
88     """
89     Load a feather-format object from the file path
90 
91     .. versionadded 0.20.0
92 
93     Parameters
94     ----------
95     path : string file path, or file-like object
96     nthreads : int, default 1
97         Number of CPU threads to use when reading to pandas.DataFrame
98 
99        .. versionadded 0.21.0
100        .. deprecated 0.24.0
101     use_threads : bool, default True
102         Whether to parallelize reading using multiple threads
103 
104        .. versionadded 0.24.0
105 
106     Returns
107     -------
108     type of object stored in file
109 
110     """
111 
112     feather, pyarrow = _try_import()
113     path = _stringify_path(path)
114 
115     if LooseVersion(pyarrow.__version__) < LooseVersion('0.11.0'):
116         int_use_threads = int(use_threads)
117         if int_use_threads < 1:
118             int_use_threads = 1
119         return feather.read_feather(path, nthreads=int_use_threads)
120 
121     return feather.read_feather(path, use_threads=bool(use_threads))
122
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/pandas/io/feather_format.py b/pandas/io/feather_format.py
--- a/pandas/io/feather_format.py
+++ b/pandas/io/feather_format.py
@@ -84,7 +84,7 @@
 
 
 @deprecate_kwarg(old_arg_name='nthreads', new_arg_name='use_threads')
-def read_feather(path, use_threads=True):
+def read_feather(path, columns=None, use_threads=True):
     """
     Load a feather-format object from the file path
 
@@ -93,6 +93,10 @@
     Parameters
     ----------
     path : string file path, or file-like object
+    columns : sequence, default None
+        If not provided, all columns are read
+
+        .. versionadded 0.24.0
     nthreads : int, default 1
         Number of CPU threads to use when reading to pandas.DataFrame
 
@@ -116,6 +120,8 @@
         int_use_threads = int(use_threads)
         if int_use_threads < 1:
             int_use_threads = 1
-        return feather.read_feather(path, nthreads=int_use_threads)
+        return feather.read_feather(path, columns=columns,
+                                    nthreads=int_use_threads)
 
-    return feather.read_feather(path, use_threads=bool(use_threads))
+    return feather.read_feather(path, columns=columns,
+                                use_threads=bool(use_threads))

{"golden_diff": "diff --git a/pandas/io/feather_format.py b/pandas/io/feather_format.py\n--- a/pandas/io/feather_format.py\n+++ b/pandas/io/feather_format.py\n@@ -84,7 +84,7 @@\n \n \n @deprecate_kwarg(old_arg_name='nthreads', new_arg_name='use_threads')\n-def read_feather(path, use_threads=True):\n+def read_feather(path, columns=None, use_threads=True):\n     \"\"\"\n     Load a feather-format object from the file path\n \n@@ -93,6 +93,10 @@\n     Parameters\n     ----------\n     path : string file path, or file-like object\n+    columns : sequence, default None\n+        If not provided, all columns are read\n+\n+        .. versionadded 0.24.0\n     nthreads : int, default 1\n         Number of CPU threads to use when reading to pandas.DataFrame\n \n@@ -116,6 +120,8 @@\n         int_use_threads = int(use_threads)\n         if int_use_threads < 1:\n             int_use_threads = 1\n-        return feather.read_feather(path, nthreads=int_use_threads)\n+        return feather.read_feather(path, columns=columns,\n+                                    nthreads=int_use_threads)\n \n-    return feather.read_feather(path, use_threads=bool(use_threads))\n+    return feather.read_feather(path, columns=columns,\n+                                use_threads=bool(use_threads))\n", "issue": "Add columns-parameter like in feather.read_dataframe\nWes suggested to raise this feature request here again, after I wondered why `pandas.read_feather` is lacking a `columns`-parameter like the [`feather-format`](https://github.com/wesm/feather) package has it.\r\n\r\nYou can read in only a subset of columns from a feather-file with e.g.: \r\n`df = feather.read_dataframe('df_test.feather', columns='b')`\r\n\r\nIt would be really nice if `pandas.read_feather` also had this built in, so you don't have to install and import the feather-package just for that.\n", "before_files": [{"content": "\"\"\" feather-format compat \"\"\"\n\nfrom distutils.version import LooseVersion\n\nfrom pandas.compat import range\nfrom pandas.util._decorators import deprecate_kwarg\n\nfrom pandas import DataFrame, Int64Index, RangeIndex\n\nfrom pandas.io.common import _stringify_path\n\n\ndef _try_import():\n    # since pandas is a dependency of pyarrow\n    # we need to import on first use\n    try:\n        import pyarrow\n        from pyarrow import feather\n    except ImportError:\n        # give a nice error message\n        raise ImportError(\"pyarrow is not installed\\n\\n\"\n                          \"you can install via conda\\n\"\n                          \"conda install pyarrow -c conda-forge\\n\"\n                          \"or via pip\\n\"\n                          \"pip install -U pyarrow\\n\")\n\n    if LooseVersion(pyarrow.__version__) < LooseVersion('0.4.1'):\n        raise ImportError(\"pyarrow >= 0.4.1 required for feather support\\n\\n\"\n                          \"you can install via conda\\n\"\n                          \"conda install pyarrow -c conda-forge\"\n                          \"or via pip\\n\"\n                          \"pip install -U pyarrow\\n\")\n\n    return feather, pyarrow\n\n\ndef to_feather(df, path):\n    \"\"\"\n    Write a DataFrame to the feather-format\n\n    Parameters\n    ----------\n    df : DataFrame\n    path : string file path, or file-like object\n\n    \"\"\"\n    path = _stringify_path(path)\n    if not isinstance(df, DataFrame):\n        raise ValueError(\"feather only support IO with DataFrames\")\n\n    feather = _try_import()[0]\n    valid_types = {'string', 'unicode'}\n\n    # validate index\n    # --------------\n\n    # validate that we have only a default index\n    # raise on anything else as we don't serialize the index\n\n    if not isinstance(df.index, Int64Index):\n        raise ValueError(\"feather does not support serializing {} \"\n                         \"for the index; you can .reset_index()\"\n                         \"to make the index into column(s)\".format(\n                             type(df.index)))\n\n    if not df.index.equals(RangeIndex.from_range(range(len(df)))):\n        raise ValueError(\"feather does not support serializing a \"\n                         \"non-default index for the index; you \"\n                         \"can .reset_index() to make the index \"\n                         \"into column(s)\")\n\n    if df.index.name is not None:\n        raise ValueError(\"feather does not serialize index meta-data on a \"\n                         \"default index\")\n\n    # validate columns\n    # ----------------\n\n    # must have value column names (strings only)\n    if df.columns.inferred_type not in valid_types:\n        raise ValueError(\"feather must have string column names\")\n\n    feather.write_feather(df, path)\n\n\n@deprecate_kwarg(old_arg_name='nthreads', new_arg_name='use_threads')\ndef read_feather(path, use_threads=True):\n    \"\"\"\n    Load a feather-format object from the file path\n\n    .. versionadded 0.20.0\n\n    Parameters\n    ----------\n    path : string file path, or file-like object\n    nthreads : int, default 1\n        Number of CPU threads to use when reading to pandas.DataFrame\n\n       .. versionadded 0.21.0\n       .. deprecated 0.24.0\n    use_threads : bool, default True\n        Whether to parallelize reading using multiple threads\n\n       .. versionadded 0.24.0\n\n    Returns\n    -------\n    type of object stored in file\n\n    \"\"\"\n\n    feather, pyarrow = _try_import()\n    path = _stringify_path(path)\n\n    if LooseVersion(pyarrow.__version__) < LooseVersion('0.11.0'):\n        int_use_threads = int(use_threads)\n        if int_use_threads < 1:\n            int_use_threads = 1\n        return feather.read_feather(path, nthreads=int_use_threads)\n\n    return feather.read_feather(path, use_threads=bool(use_threads))\n", "path": "pandas/io/feather_format.py"}], "after_files": [{"content": "\"\"\" feather-format compat \"\"\"\n\nfrom distutils.version import LooseVersion\n\nfrom pandas.compat import range\nfrom pandas.util._decorators import deprecate_kwarg\n\nfrom pandas import DataFrame, Int64Index, RangeIndex\n\nfrom pandas.io.common import _stringify_path\n\n\ndef _try_import():\n    # since pandas is a dependency of pyarrow\n    # we need to import on first use\n    try:\n        import pyarrow\n        from pyarrow import feather\n    except ImportError:\n        # give a nice error message\n        raise ImportError(\"pyarrow is not installed\\n\\n\"\n                          \"you can install via conda\\n\"\n                          \"conda install pyarrow -c conda-forge\\n\"\n                          \"or via pip\\n\"\n                          \"pip install -U pyarrow\\n\")\n\n    if LooseVersion(pyarrow.__version__) < LooseVersion('0.4.1'):\n        raise ImportError(\"pyarrow >= 0.4.1 required for feather support\\n\\n\"\n                          \"you can install via conda\\n\"\n                          \"conda install pyarrow -c conda-forge\"\n                          \"or via pip\\n\"\n                          \"pip install -U pyarrow\\n\")\n\n    return feather, pyarrow\n\n\ndef to_feather(df, path):\n    \"\"\"\n    Write a DataFrame to the feather-format\n\n    Parameters\n    ----------\n    df : DataFrame\n    path : string file path, or file-like object\n\n    \"\"\"\n    path = _stringify_path(path)\n    if not isinstance(df, DataFrame):\n        raise ValueError(\"feather only support IO with DataFrames\")\n\n    feather = _try_import()[0]\n    valid_types = {'string', 'unicode'}\n\n    # validate index\n    # --------------\n\n    # validate that we have only a default index\n    # raise on anything else as we don't serialize the index\n\n    if not isinstance(df.index, Int64Index):\n        raise ValueError(\"feather does not support serializing {} \"\n                         \"for the index; you can .reset_index()\"\n                         \"to make the index into column(s)\".format(\n                             type(df.index)))\n\n    if not df.index.equals(RangeIndex.from_range(range(len(df)))):\n        raise ValueError(\"feather does not support serializing a \"\n                         \"non-default index for the index; you \"\n                         \"can .reset_index() to make the index \"\n                         \"into column(s)\")\n\n    if df.index.name is not None:\n        raise ValueError(\"feather does not serialize index meta-data on a \"\n                         \"default index\")\n\n    # validate columns\n    # ----------------\n\n    # must have value column names (strings only)\n    if df.columns.inferred_type not in valid_types:\n        raise ValueError(\"feather must have string column names\")\n\n    feather.write_feather(df, path)\n\n\n@deprecate_kwarg(old_arg_name='nthreads', new_arg_name='use_threads')\ndef read_feather(path, columns=None, use_threads=True):\n    \"\"\"\n    Load a feather-format object from the file path\n\n    .. versionadded 0.20.0\n\n    Parameters\n    ----------\n    path : string file path, or file-like object\n    columns : sequence, default None\n        If not provided, all columns are read\n\n        .. versionadded 0.24.0\n    nthreads : int, default 1\n        Number of CPU threads to use when reading to pandas.DataFrame\n\n       .. versionadded 0.21.0\n       .. deprecated 0.24.0\n    use_threads : bool, default True\n        Whether to parallelize reading using multiple threads\n\n       .. versionadded 0.24.0\n\n    Returns\n    -------\n    type of object stored in file\n\n    \"\"\"\n\n    feather, pyarrow = _try_import()\n    path = _stringify_path(path)\n\n    if LooseVersion(pyarrow.__version__) < LooseVersion('0.11.0'):\n        int_use_threads = int(use_threads)\n        if int_use_threads < 1:\n            int_use_threads = 1\n        return feather.read_feather(path, columns=columns,\n                                    nthreads=int_use_threads)\n\n    return feather.read_feather(path, columns=columns,\n                                use_threads=bool(use_threads))\n", "path": "pandas/io/feather_format.py"}]}