use pep 8 for class names

Author: jschendel

pandas/io/sas/sas_constants.py

@@ -102,49 +102,49 @@
                   61: "wcyrillic", 62: "wlatin1", 90: "ebcdic870"}
 
 
-class index(object):
-    rowSizeIndex = 0
-    columnSizeIndex = 1
-    subheaderCountsIndex = 2
-    columnTextIndex = 3
-    columnNameIndex = 4
-    columnAttributesIndex = 5
-    formatAndLabelIndex = 6
-    columnListIndex = 7
-    dataSubheaderIndex = 8
+class SASIndex(object):
+    row_size_index = 0
+    column_size_index = 1
+    subheader_counts_index = 2
+    column_text_index = 3
+    column_name_index = 4
+    column_attributes_index = 5
+    format_and_label_index = 6
+    column_list_index = 7
+    data_subheader_index = 8
 
 
 subheader_signature_to_index = {
-    b"\xF7\xF7\xF7\xF7": index.rowSizeIndex,
-    b"\x00\x00\x00\x00\xF7\xF7\xF7\xF7": index.rowSizeIndex,
-    b"\xF7\xF7\xF7\xF7\x00\x00\x00\x00": index.rowSizeIndex,
-    b"\xF7\xF7\xF7\xF7\xFF\xFF\xFB\xFE": index.rowSizeIndex,
-    b"\xF6\xF6\xF6\xF6": index.columnSizeIndex,
-    b"\x00\x00\x00\x00\xF6\xF6\xF6\xF6": index.columnSizeIndex,
-    b"\xF6\xF6\xF6\xF6\x00\x00\x00\x00": index.columnSizeIndex,
-    b"\xF6\xF6\xF6\xF6\xFF\xFF\xFB\xFE": index.columnSizeIndex,
-    b"\x00\xFC\xFF\xFF": index.subheaderCountsIndex,
-    b"\xFF\xFF\xFC\x00": index.subheaderCountsIndex,
-    b"\x00\xFC\xFF\xFF\xFF\xFF\xFF\xFF": index.subheaderCountsIndex,
-    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFC\x00": index.subheaderCountsIndex,
-    b"\xFD\xFF\xFF\xFF": index.columnTextIndex,
-    b"\xFF\xFF\xFF\xFD": index.columnTextIndex,
-    b"\xFD\xFF\xFF\xFF\xFF\xFF\xFF\xFF": index.columnTextIndex,
-    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFD": index.columnTextIndex,
-    b"\xFF\xFF\xFF\xFF": index.columnNameIndex,
-    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFF": index.columnNameIndex,
-    b"\xFC\xFF\xFF\xFF": index.columnAttributesIndex,
-    b"\xFF\xFF\xFF\xFC": index.columnAttributesIndex,
-    b"\xFC\xFF\xFF\xFF\xFF\xFF\xFF\xFF": index.columnAttributesIndex,
-    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFC": index.columnAttributesIndex,
-    b"\xFE\xFB\xFF\xFF": index.formatAndLabelIndex,
-    b"\xFF\xFF\xFB\xFE": index.formatAndLabelIndex,
-    b"\xFE\xFB\xFF\xFF\xFF\xFF\xFF\xFF": index.formatAndLabelIndex,
-    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFB\xFE": index.formatAndLabelIndex,
-    b"\xFE\xFF\xFF\xFF": index.columnListIndex,
-    b"\xFF\xFF\xFF\xFE": index.columnListIndex,
-    b"\xFE\xFF\xFF\xFF\xFF\xFF\xFF\xFF": index.columnListIndex,
-    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFE": index.columnListIndex}
+    b"\xF7\xF7\xF7\xF7": SASIndex.row_size_index,
+    b"\x00\x00\x00\x00\xF7\xF7\xF7\xF7": SASIndex.row_size_index,
+    b"\xF7\xF7\xF7\xF7\x00\x00\x00\x00": SASIndex.row_size_index,
+    b"\xF7\xF7\xF7\xF7\xFF\xFF\xFB\xFE": SASIndex.row_size_index,
+    b"\xF6\xF6\xF6\xF6": SASIndex.column_size_index,
+    b"\x00\x00\x00\x00\xF6\xF6\xF6\xF6": SASIndex.column_size_index,
+    b"\xF6\xF6\xF6\xF6\x00\x00\x00\x00": SASIndex.column_size_index,
+    b"\xF6\xF6\xF6\xF6\xFF\xFF\xFB\xFE": SASIndex.column_size_index,
+    b"\x00\xFC\xFF\xFF": SASIndex.subheader_counts_index,
+    b"\xFF\xFF\xFC\x00": SASIndex.subheader_counts_index,
+    b"\x00\xFC\xFF\xFF\xFF\xFF\xFF\xFF": SASIndex.subheader_counts_index,
+    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFC\x00": SASIndex.subheader_counts_index,
+    b"\xFD\xFF\xFF\xFF": SASIndex.column_text_index,
+    b"\xFF\xFF\xFF\xFD": SASIndex.column_text_index,
+    b"\xFD\xFF\xFF\xFF\xFF\xFF\xFF\xFF": SASIndex.column_text_index,
+    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFD": SASIndex.column_text_index,
+    b"\xFF\xFF\xFF\xFF": SASIndex.column_name_index,
+    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFF": SASIndex.column_name_index,
+    b"\xFC\xFF\xFF\xFF": SASIndex.column_attributes_index,
+    b"\xFF\xFF\xFF\xFC": SASIndex.column_attributes_index,
+    b"\xFC\xFF\xFF\xFF\xFF\xFF\xFF\xFF": SASIndex.column_attributes_index,
+    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFC": SASIndex.column_attributes_index,
+    b"\xFE\xFB\xFF\xFF": SASIndex.format_and_label_index,
+    b"\xFF\xFF\xFB\xFE": SASIndex.format_and_label_index,
+    b"\xFE\xFB\xFF\xFF\xFF\xFF\xFF\xFF": SASIndex.format_and_label_index,
+    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFB\xFE": SASIndex.format_and_label_index,
+    b"\xFE\xFF\xFF\xFF": SASIndex.column_list_index,
+    b"\xFF\xFF\xFF\xFE": SASIndex.column_list_index,
+    b"\xFE\xFF\xFF\xFF\xFF\xFF\xFF\xFF": SASIndex.column_list_index,
+    b"\xFF\xFF\xFF\xFF\xFF\xFF\xFF\xFE": SASIndex.column_list_index}
 
 
 # List of frequently used SAS date and datetime formats

pandas/tests/io/json/test_ujson.py

@@ -772,14 +772,14 @@ def test_dumpToFile(self):
         assert "[1,2,3]" == f.getvalue()
 
     def test_dumpToFileLikeObject(self):
-        class filelike(object):
+        class FileLike(object):
 
             def __init__(self):
                 self.bytes = ''
 
             def write(self, bytes):
                 self.bytes += bytes
-        f = filelike()
+        f = FileLike()
         ujson.dump([1, 2, 3], f)
         assert "[1,2,3]" == f.bytes
 
@@ -800,18 +800,18 @@ def test_loadFile(self):
             np.array([1, 2, 3, 4]), ujson.load(f, numpy=True))
 
     def test_loadFileLikeObject(self):
-        class filelike(object):
+        class FileLike(object):
 
             def read(self):
                 try:
                     self.end
                 except AttributeError:
                     self.end = True
                     return "[1,2,3,4]"
-        f = filelike()
+        f = FileLike()
         assert [1, 2, 3, 4] == ujson.load(f)
 
-        f = filelike()
+        f = FileLike()
         tm.assert_numpy_array_equal(
             np.array([1, 2, 3, 4]), ujson.load(f, numpy=True))
 

pandas/tests/test_resample.py

@@ -1082,7 +1082,7 @@ def test_resample_how_callables(self):
         def fn(x, a=1):
             return str(type(x))
 
-        class fn_class(object):
+        class FnClass(object):
 
             def __call__(self, x):
                 return str(type(x))
@@ -1091,7 +1091,7 @@ def __call__(self, x):
         df_lambda = df.resample("M").apply(lambda x: str(type(x)))
         df_partial = df.resample("M").apply(partial(fn))
         df_partial2 = df.resample("M").apply(partial(fn, a=2))
-        df_class = df.resample("M").apply(fn_class())
+        df_class = df.resample("M").apply(FnClass())
 
         assert_frame_equal(df_standard, df_lambda)
         assert_frame_equal(df_standard, df_partial)