Sorting imports into catgeories and importing pandas.compat.numpy objects

Author: ryankarlos

pandas/__init__.py

@@ -20,7 +20,9 @@
 del hard_dependencies, dependency, missing_dependencies
 
 # numpy compat
-from pandas.compat.numpy import *
+from pandas.compat.numpy import (
+    LooseVersion, tz_replacer, _tz_regex, np_datetime64_compat,
+    np_array_datetime64_compat, function)
 
 try:
     from pandas._libs import (hashtable as _hashtable,
@@ -43,17 +45,31 @@
 import pandas.core.config_init
 
 from pandas.core.api import (
+    #dtype
     Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype,
-    UInt16Dtype, UInt32Dtype, UInt64Dtype, factorize, unique,
-    value_counts, isna, isnull, notna, notnull, CategoricalDtype,
-    PeriodDtype, IntervalDtype, DatetimeTZDtype, Categorical,
-    array, Grouper, set_eng_float_format, Index, CategoricalIndex,
-    Int64Index, UInt64Index, RangeIndex, Float64Index, MultiIndex,
-    IntervalIndex, TimedeltaIndex, DatetimeIndex, PeriodIndex,
+    UInt16Dtype, UInt32Dtype, UInt64Dtype, CategoricalDtype,
+    PeriodDtype, IntervalDtype, DatetimeTZDtype,
+
+    #missing
+    isna, isnull, notna, notnull,
+
+    #indexes
+    Index, CategoricalIndex, Int64Index, UInt64Index, RangeIndex,
+    Float64Index, MultiIndex, IntervalIndex, TimedeltaIndex,
+    DatetimeIndex, PeriodIndex, IndexSlice,
+
+    #tseries
     NaT, Period, period_range, Timedelta, timedelta_range,
     Timestamp, date_range, bdate_range, Interval, interval_range,
-    Series, DataFrame, Panel, IndexSlice, to_numeric, DateOffset,
-    to_datetime, to_timedelta, np, TimeGrouper)
+    DateOffset,
+
+    #conversion
+    to_numeric, to_datetime, to_timedelta,
+
+    #misc
+    np, TimeGrouper, Grouper, factorize, unique, value_counts,
+    array, Categorical, set_eng_float_format,  Series, DataFrame,
+    Panel)
 
 from pandas.core.sparse.api import (
     SparseArray, SparseDataFrame, SparseSeries, SparseDtype)
@@ -71,12 +87,28 @@
 from pandas.util._print_versions import show_versions
 
 from pandas.io.api import (
-    read_clipboard, ExcelFile, ExcelWriter, read_excel,
-    read_feather, read_gbq, read_html, read_json,
-    read_msgpack, to_msgpack, read_parquet, read_csv,
-    read_fwf, read_table, read_pickle, to_pickle,
-    HDFStore, read_hdf, read_sas, read_sql, read_sql_query,
-    read_sql_table, read_stata)
+    #excel
+    ExcelFile, ExcelWriter, read_excel,
+
+    #packers
+    read_msgpack, to_msgpack,
+
+    #parsers
+    read_csv, read_fwf, read_table,
+
+    #pickle
+    read_pickle, to_pickle,
+
+    #pytables
+    HDFStore, read_hdf,
+
+    #sql
+    read_sql, read_sql_query,
+    read_sql_table,
+
+    #misc
+    read_clipboard, read_parquet, read_feather, read_gbq,
+    read_html, read_json, read_stata, read_sas)
 
 from pandas.util._tester import test
 import pandas.testing