add isort:skip to "from .pandas_vb_common import setup"

Author: basnijholt

asv_bench/benchmarks/attrs_caching.py

@@ -32,4 +32,4 @@ def time_cache_readonly(self):
         self.obj.prop
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/binary_ops.py

@@ -155,4 +155,4 @@ def time_add_overflow_both_arg_nan(self):
         )
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/categoricals.py

@@ -280,4 +280,4 @@ def time_sort_values(self):
         self.index.sort_values(ascending=False)
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/ctors.py

@@ -113,4 +113,4 @@ def time_multiindex_from_iterables(self):
         MultiIndex.from_product(self.iterables)
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/dtypes.py

@@ -40,4 +40,4 @@ def time_pandas_dtype_invalid(self, dtype):
             pass
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/eval.py

@@ -62,4 +62,4 @@ def time_query_with_boolean_selection(self):
         self.df.query("(a >= @self.min_val) & (a <= @self.max_val)")
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/frame_ctor.py

@@ -104,4 +104,4 @@ def time_frame_from_lists(self):
         self.df = DataFrame(self.data)
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/frame_methods.py

@@ -609,4 +609,4 @@ def time_dataframe_describe(self):
         self.df.describe()
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/gil.py

@@ -301,4 +301,4 @@ def time_loop(self, threads):
             self.loop()
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/groupby.py

@@ -626,4 +626,4 @@ def time_first(self):
         self.df_nans.groupby("key").transform("first")
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/index_object.py

@@ -243,4 +243,4 @@ def peakmem_gc_instances(self, N):
             gc.enable()
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/indexing.py

@@ -371,4 +371,4 @@ def time_chained_indexing(self, mode):
                 df2["C"] = 1.0
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/inference.py

@@ -120,4 +120,4 @@ def time_convert(self, data):
         lib.maybe_convert_numeric(data, set(), coerce_numeric=False)
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/csv.py

@@ -406,4 +406,4 @@ def time_to_datetime_format_DD_MM_YYYY(self, cache_dates):
         to_datetime(df["date"], cache=cache_dates, format="%d-%m-%Y")
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/excel.py

@@ -35,4 +35,4 @@ def time_write_excel(self, engine):
         writer_write.save()
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/hdf.py

@@ -127,4 +127,4 @@ def time_write_hdf(self, format):
         self.df.to_hdf(self.fname, "df", format=format)
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/json.py

@@ -214,4 +214,4 @@ def peakmem_float(self, frames):
             df.to_json()
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/msgpack.py

@@ -27,4 +27,4 @@ def time_write_msgpack(self):
         self.df.to_msgpack(self.fname)
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/pickle.py

@@ -25,4 +25,4 @@ def time_write_pickle(self):
         self.df.to_pickle(self.fname)
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/sql.py

@@ -141,4 +141,4 @@ def time_read_sql_table_column(self, dtype):
         read_sql_table(self.table_name, self.con, columns=[dtype])
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/io/stata.py

@@ -50,4 +50,4 @@ def setup(self, convert_dates):
         self.df.to_stata(self.fname, self.convert_dates)
 
 
-from ..pandas_vb_common import setup  # noqa: F401
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/join_merge.py

@@ -348,4 +348,4 @@ def time_series_align_left_monotonic(self):
         self.ts1.align(self.ts2, join="left")
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/multiindex_object.py

@@ -146,4 +146,4 @@ def time_categorical_level(self):
         self.df.set_index(["a", "b"])
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/plotting.py

@@ -93,4 +93,4 @@ def time_plot_andrews_curves(self):
         andrews_curves(self.df, "Name")
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/reindex.py

@@ -159,4 +159,4 @@ def time_lib_fast_zip(self):
         lib.fast_zip(self.col_array_list)
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/replace.py

@@ -56,4 +56,4 @@ def time_replace(self, constructor, replace_data):
         self.data.replace(self.to_replace)
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/reshape.py

@@ -262,4 +262,4 @@ def time_explode(self, n_rows, max_list_length):
         self.series.explode()
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/rolling.py

@@ -121,4 +121,4 @@ def peakmem_fixed(self):
             self.roll.max()
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/series_methods.py

@@ -275,4 +275,4 @@ def time_func(self, func, N, dtype):
         self.func()
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/sparse.py

@@ -136,4 +136,4 @@ def time_division(self, fill_value):
         self.arr1 / self.arr2
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/stat_ops.py

@@ -148,4 +148,4 @@ def time_cov_series(self, use_bottleneck):
         self.s.cov(self.s2)
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip

asv_bench/benchmarks/timeseries.py

@@ -426,4 +426,4 @@ def time_dt_accessor_year(self, tz):
         self.series.dt.year
 
 
-from .pandas_vb_common import setup  # noqa: F401
+from .pandas_vb_common import setup  # noqa: F401 isort:skip