From 0382f204a8f3fa72db433232cbd7d6d4bd66d823 Mon Sep 17 00:00:00 2001
From: Gregory Rome <gwrome@gmail.com>
Date: Wed, 15 May 2019 18:46:51 -0500
Subject: [PATCH] Fix type annotations in pandas.core.resample (#26398)

---
 mypy.ini                       |  3 ---
 pandas/core/groupby/grouper.py |  4 +++-
 pandas/core/resample.py        | 22 ++++++++++++----------
 3 files changed, 15 insertions(+), 14 deletions(-)

diff --git a/mypy.ini b/mypy.ini
index f6d528a13de2f..169fa546f89e8 100644
--- a/mypy.ini
+++ b/mypy.ini
@@ -29,9 +29,6 @@ ignore_errors=True
 [mypy-pandas.core.panel]
 ignore_errors=True
 
-[mypy-pandas.core.resample]
-ignore_errors=True
-
 [mypy-pandas.core.reshape.merge]
 ignore_errors=True
 
diff --git a/pandas/core/groupby/grouper.py b/pandas/core/groupby/grouper.py
index 5733586770441..63931dda6acb2 100644
--- a/pandas/core/groupby/grouper.py
+++ b/pandas/core/groupby/grouper.py
@@ -3,6 +3,7 @@
 split-apply-combine paradigm.
 """
 
+from typing import Tuple
 import warnings
 
 import numpy as np
@@ -84,7 +85,8 @@ class Grouper:
 
     >>> df.groupby(Grouper(level='date', freq='60s', axis=1))
     """
-    _attributes = ('key', 'level', 'freq', 'axis', 'sort')
+    _attributes = ('key', 'level', 'freq', 'axis',
+                   'sort')  # type: Tuple[str, ...]
 
     def __new__(cls, *args, **kwargs):
         if kwargs.get('freq') is not None:
diff --git a/pandas/core/resample.py b/pandas/core/resample.py
index b2d30b5f34a75..7bf0c56c42214 100644
--- a/pandas/core/resample.py
+++ b/pandas/core/resample.py
@@ -1,6 +1,7 @@
 import copy
 from datetime import timedelta
 from textwrap import dedent
+from typing import Dict, no_type_check
 import warnings
 
 import numpy as np
@@ -31,7 +32,7 @@
 from pandas.tseries.frequencies import to_offset
 from pandas.tseries.offsets import DateOffset, Day, Nano, Tick
 
-_shared_docs_kwargs = dict()
+_shared_docs_kwargs = dict()  # type: Dict[str, str]
 
 
 class Resampler(_GroupBy):
@@ -873,25 +874,25 @@ def f(self, _method=method, min_count=0, *args, **kwargs):
 for method in ['min', 'max', 'first', 'last', 'mean', 'sem',
                'median', 'ohlc']:
 
-    def f(self, _method=method, *args, **kwargs):
+    def g(self, _method=method, *args, **kwargs):
         nv.validate_resampler_func(_method, args, kwargs)
         return self._downsample(_method)
-    f.__doc__ = getattr(GroupBy, method).__doc__
-    setattr(Resampler, method, f)
+    g.__doc__ = getattr(GroupBy, method).__doc__
+    setattr(Resampler, method, g)
 
 # groupby & aggregate methods
 for method in ['count']:
-    def f(self, _method=method):
+    def h(self, _method=method):
         return self._downsample(_method)
-    f.__doc__ = getattr(GroupBy, method).__doc__
-    setattr(Resampler, method, f)
+    h.__doc__ = getattr(GroupBy, method).__doc__
+    setattr(Resampler, method, h)
 
 # series only methods
 for method in ['nunique']:
-    def f(self, _method=method):
+    def h(self, _method=method):
         return self._downsample(_method)
-    f.__doc__ = getattr(SeriesGroupBy, method).__doc__
-    setattr(Resampler, method, f)
+    h.__doc__ = getattr(SeriesGroupBy, method).__doc__
+    setattr(Resampler, method, h)
 
 
 def _maybe_process_deprecations(r, how=None, fill_method=None, limit=None):
@@ -964,6 +965,7 @@ def __init__(self, obj, *args, **kwargs):
         self._groupby.grouper.mutated = True
         self.groupby = copy.copy(parent.groupby)
 
+    @no_type_check
     def _apply(self, f, grouper=None, *args, **kwargs):
         """
         Dispatch to _upsample; we are stripping all of the _upsample kwargs and