pyproj.__version__ = 3.6.0rc0 2710 function calls (2649 primitive calls) in 0.961 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 2 0.534 0.267 0.534 0.267 {method '_transform' of 'pyproj._transformer._Transformer' objects} 1 0.370 0.370 0.370 0.370 {pyproj._transformer.from_crs} 2 0.026 0.013 0.026 0.013 {built-in method shapely.lib.set_coordinates} 8 0.010 0.001 0.010 0.001 {method 'astype' of 'numpy.ndarray' objects} 2 0.006 0.003 0.006 0.003 {built-in method shapely.lib.get_coordinates} 3 0.004 0.001 0.004 0.001 {built-in method numpy.array} 1 0.002 0.002 0.002 0.002 crs.py:183(__init__) 1 0.002 0.002 0.961 0.961 :1() 1 0.002 0.002 0.957 0.957 geoseries.py:1047(to_crs) 1 0.001 0.001 0.583 0.583 _vectorized.py:1098(transform) 1 0.001 0.001 0.001 0.001 predicates.py:41(has_z) 2 0.000 0.000 0.000 0.000 {built-in method shapely.lib.count_coordinates} 9 0.000 0.000 0.000 0.000 {method 'copy' of 'numpy.ndarray' objects} 510/496 0.000 0.000 0.000 0.000 {built-in method builtins.isinstance} 15 0.000 0.000 0.001 0.000 series.py:342(__init__) 1 0.000 0.000 0.961 0.961 {built-in method builtins.exec} 1 0.000 0.000 0.955 0.955 array.py:692(to_crs) 16 0.000 0.000 0.000 0.000 generic.py:259(__init__) 29 0.000 0.000 0.000 0.000 generic.py:5904(__setattr__) 1 0.000 0.000 0.001 0.001 geodataframe.py:133(__init__) 138/95 0.000 0.000 0.000 0.000 {built-in method builtins.len} 8 0.000 0.000 0.001 0.000 frame.py:3758(__getitem__) 2 0.000 0.000 0.541 0.270 transformer.py:716(transform) 2 0.000 0.000 0.030 0.015 coordinates.py:141(set_coordinates) 8 0.000 0.000 0.001 0.000 geoseries.py:154(__init__) 36 0.000 0.000 0.000 0.000 {pandas._libs.lib.is_list_like} 5 0.000 0.000 0.006 0.001 utils.py:88(_copytobuffer) 4 0.000 0.000 0.000 0.000 {method 'clear' of 'dict' objects} 19 0.000 0.000 0.000 0.000 base.py:5254(__contains__) 108/105 0.000 0.000 0.000 0.000 {built-in method builtins.getattr} 2 0.000 0.000 0.000 0.000 {pandas._libs.ops.scalar_compare} 2 0.000 0.000 0.000 0.000 {method 'reduce' of 'numpy.ufunc' objects} 5 0.000 0.000 0.000 0.000 generic.py:5844(__finalize__) 55 0.000 0.000 0.000 0.000 {built-in method builtins.hasattr} 4 0.000 0.000 0.000 0.000 construction.py:493(sanitize_array) 59 0.000 0.000 0.000 0.000 generic.py:45(_instancecheck) 32 0.000 0.000 0.000 0.000 managers.py:2058(dtype) 8 0.000 0.000 0.001 0.000 geodataframe.py:1409(__getitem__) 23 0.000 0.000 0.000 0.000 base.py:135(crs) 14 0.000 0.000 0.000 0.000 series.py:661(name) 8 0.000 0.000 0.000 0.000 _ufunc_config.py:33(seterr) 3 0.000 0.000 0.000 0.000 managers.py:1129(iget) 15 0.000 0.000 0.000 0.000 generic.py:5888(__getattr__) 59 0.000 0.000 0.000 0.000 generic.py:40(_check) 3 0.000 0.000 0.000 0.000 managers.py:1183(iset) 1 0.000 0.000 0.001 0.001 decorators.py:62(wrapped) 4 0.000 0.000 0.000 0.000 geodataframe.py:1518(_geodataframe_constructor_sliced) 12 0.000 0.000 0.000 0.000 series.py:565(_set_axis) 27 0.000 0.000 0.000 0.000 blocks.py:2370(external_values) 8 0.000 0.000 0.000 0.000 _ufunc_config.py:132(geterr) 25 0.000 0.000 0.000 0.000 series.py:611(name) 2 0.000 0.000 0.001 0.000 geodataframe.py:244(set_geometry) 32 0.000 0.000 0.000 0.000 series.py:596(dtype) 16 0.000 0.000 0.000 0.000 flags.py:49(__init__) 27 0.000 0.000 0.000 0.000 managers.py:2065(external_values) 18 0.000 0.000 0.000 0.000 __init__.py:1689(isEnabledFor) 2 0.000 0.000 0.000 0.000 {method '_transform_point' of 'pyproj._transformer._Transformer' objects} 12 0.000 0.000 0.000 0.000 base.py:7372(maybe_extract_name) 6 0.000 0.000 0.000 0.000 config.py:116(_get_single_key) 8 0.000 0.000 0.000 0.000 frame.py:4274(_get_item_cache) 38 0.000 0.000 0.000 0.000 base.py:925(__len__) 35 0.000 0.000 0.000 0.000 inference.py:325(is_hashable) 3 0.000 0.000 0.001 0.000 frame.py:3955(__setitem__) 3 0.000 0.000 0.001 0.000 geodataframe.py:1430(__setitem__) 3 0.000 0.000 0.000 0.000 blocks.py:2172(new_block) 19 0.000 0.000 0.000 0.000 {built-in method builtins.all} 5 0.000 0.000 0.000 0.000 array.py:272(__init__) 3 0.000 0.000 0.000 0.000 frame.py:4892(_sanitize_column) 14 0.000 0.000 0.000 0.000 common.py:1725(validate_all_hashable) 6 0.000 0.000 0.000 0.000 blocks.py:2120(get_block_type) 4 0.000 0.000 0.000 0.000 array.py:961(copy) 1 0.000 0.000 0.000 0.000 managers.py:301(apply) 1 0.000 0.000 0.000 0.000 {built-in method builtins.any} 1 0.000 0.000 0.000 0.000 base.py:6941(_cmp_method) 6 0.000 0.000 0.000 0.000 base.py:5304(__getitem__) 3 0.000 0.000 0.001 0.000 frame.py:4164(_set_item) 6 0.000 0.000 0.000 0.000 config.py:597(_get_root) 2 0.000 0.000 0.000 0.000 base.py:690(_simple_new) 1 0.000 0.000 0.000 0.000 nanops.py:83(_f) 27 0.000 0.000 0.000 0.000 series.py:666(values) 27 0.000 0.000 0.000 0.000 blocks.py:196(external_values) 18 0.000 0.000 0.000 0.000 base.py:13(is_geometry_type) 1 0.000 0.000 0.000 0.000 {pyproj._crs.is_proj} 3 0.000 0.000 0.000 0.000 managers.py:1339(_iset_single) 3 0.000 0.000 0.000 0.000 frame.py:3703(_ixs) 28 0.000 0.000 0.000 0.000 common.py:1744() 2 0.000 0.000 0.000 0.000 {method 'equals' of 'pyproj._crs._CRS' objects} 3 0.000 0.000 0.000 0.000 frame.py:4139(_set_item_mgr) 6 0.000 0.000 0.000 0.000 managers.py:1891(__init__) 3 0.000 0.000 0.000 0.000 frame.py:4257(_box_col_values) 12 0.000 0.000 0.000 0.000 construction.py:861(is_empty_data) 1 0.000 0.000 0.002 0.002 generic.py:6258(copy) 12 0.000 0.000 0.000 0.000 managers.py:228(set_axis) 18 0.000 0.000 0.000 0.000 __init__.py:1424(debug) 6 0.000 0.000 0.000 0.000 geodataframe.py:40(_ensure_geometry) 20 0.000 0.000 0.000 0.000 array.py:957(ndim) 2 0.000 0.000 0.000 0.000 blocks.py:544(copy) 12 0.000 0.000 0.000 0.000 config.py:611(_get_deprecated_option) 2 0.000 0.000 0.000 0.000 shape_base.py:81(atleast_2d) 12 0.000 0.000 0.000 0.000 base.py:58(_validate_set_axis) 1 0.000 0.000 0.370 0.370 transformer.py:325(__init__) 1 0.000 0.000 0.370 0.370 transformer.py:552(from_crs) 27 0.000 0.000 0.000 0.000 array.py:953(shape) 3 0.000 0.000 0.000 0.000 {built-in method numpy.core._multiarray_umath.implement_array_function} 2 0.000 0.000 0.000 0.000 array_ops.py:60(comp_method_OBJECT_ARRAY) 6 0.000 0.000 0.000 0.000 base.py:3754(get_loc) 2 0.000 0.000 0.006 0.003 coordinates.py:93(get_coordinates) 3 0.000 0.000 0.000 0.000 frame.py:4132(_iset_item_mgr) 1 0.000 0.000 0.002 0.002 geodataframe.py:26(_geodataframe_constructor_with_fallback) 5 0.000 0.000 0.000 0.000 array.py:336(crs) 8 0.000 0.000 0.000 0.000 indexing.py:2656(check_deprecated_indexers) 6 0.000 0.000 0.000 0.000 config.py:134(_get_option) 3 0.000 0.000 0.000 0.000 managers.py:1934(from_array) 1 0.000 0.000 0.000 0.000 managers.py:616(copy) 7 0.000 0.000 0.000 0.000 common.py:162(is_object_dtype) 5 0.000 0.000 0.000 0.000 utils.py:145(_convertback) 54 0.000 0.000 0.000 0.000 {built-in method builtins.hash} 27 0.000 0.000 0.000 0.000 array.py:949(size) 10 0.000 0.000 0.000 0.000 common.py:1591(_is_dtype_type) 2 0.000 0.000 0.000 0.000 construction.py:744(_try_cast) 1 0.000 0.000 0.000 0.000 series.py:6233(_cmp_method) 1 0.000 0.000 0.000 0.000 series.py:4773(_reduce) 2 0.000 0.000 0.000 0.000 crs.py:959(equals) 2 0.000 0.000 0.000 0.000 common.py:57(new_method) 8 0.000 0.000 0.000 0.000 {built-in method numpy.seterrobj} 4 0.000 0.000 0.000 0.000 inference.py:266(is_dict_like) 4 0.000 0.000 0.000 0.000 transformer.py:348(_transformer) 6 0.000 0.000 0.000 0.000 blocks.py:2091(maybe_coerce_values) 1 0.000 0.000 0.000 0.000 generic.py:11443(_min_count_stat_function) 1 0.000 0.000 0.000 0.000 array_ops.py:231(comparison_op) 1 0.000 0.000 0.000 0.000 nanops.py:261(_get_values) 4 0.000 0.000 0.000 0.000 _ufunc_config.py:430(__enter__) 3 0.000 0.000 0.000 0.000 blocks.py:2161(new_block_2d) 31 0.000 0.000 0.000 0.000 array.py:322(crs) 4 0.000 0.000 0.000 0.000 geodataframe.py:204(_get_geometry) 3 0.000 0.000 0.000 0.000 generic.py:4137(_check_setitem_copy) 1 0.000 0.000 0.959 0.959 geodataframe.py:1284(to_crs) 1 0.000 0.000 0.000 0.000 __init__.py:218(_acquireLock) 15 0.000 0.000 0.000 0.000 base.py:7277(ensure_index) 11 0.000 0.000 0.000 0.000 generic.py:640(_info_axis) 6 0.000 0.000 0.000 0.000 {built-in method numpy.asarray} 5 0.000 0.000 0.000 0.000 flags.py:85(allows_duplicate_labels) 3 0.000 0.000 0.000 0.000 blocks.py:2186(check_ndim) 3 0.000 0.000 0.000 0.000 base.py:5363(_can_hold_identifiers_and_holds_name) 1 0.000 0.000 0.000 0.000 managers.py:271(get_dtypes) 11 0.000 0.000 0.002 0.000 crs.py:475(from_user_input) 7 0.000 0.000 0.000 0.000 construction.py:399(extract_array) 4 0.000 0.000 0.000 0.000 _ufunc_config.py:435(__exit__) 3/2 0.000 0.000 0.000 0.000 geodataframe.py:197(__setattr__) 6 0.000 0.000 0.000 0.000 config.py:262(__call__) 16 0.000 0.000 0.000 0.000 {built-in method numpy.geterrobj} 2 0.000 0.000 0.000 0.000 <__array_function__ internals>:177(atleast_2d) 4 0.000 0.000 0.000 0.000 construction.py:676(_sanitize_ndim) 1 0.000 0.000 0.000 0.000 crs.py:938(is_exact_same) 1 0.000 0.000 0.000 0.000 managers.py:1854(_consolidate_check) 7 0.000 0.000 0.000 0.000 blocks.py:500(dtype) 20 0.000 0.000 0.000 0.000 array.py:354(dtype) 1 0.000 0.000 0.000 0.000 series.py:3194(_construct_result) 1 0.000 0.000 0.000 0.000 :2(__init__) 1 0.000 0.000 0.000 0.000 nanops.py:588(nansum) 4 0.000 0.000 0.000 0.000 nanops.py:86() 6 0.000 0.000 0.000 0.000 config.py:579(_select_options) 2 0.000 0.000 0.000 0.000 frame.py:12012(_reindex_for_setitem) 2 0.000 0.000 0.000 0.000 blocks.py:2250(extend_blocks) 11 0.000 0.000 0.000 0.000 common.py:362(apply_if_callable) 4 0.000 0.000 0.000 0.000 frame.py:4271(_clear_item_cache) 6 0.000 0.000 0.000 0.000 crs.py:350(_crs) 3 0.000 0.000 0.000 0.000 indexing.py:2488(convert_to_index_sliceable) 6 0.000 0.000 0.000 0.000 common.py:1420(is_1d_only_ea_dtype) 4 0.000 0.000 0.000 0.000 generic.py:1997(__contains__) 14 0.000 0.000 0.000 0.000 inference.py:292() 1 0.000 0.000 0.000 0.000 decorators.py:64() 1 0.000 0.000 0.000 0.000 common.py:1751(pandas_dtype) 1 0.000 0.000 0.000 0.000 generic.py:6045(dtypes) 9 0.000 0.000 0.000 0.000 common.py:148() 19 0.000 0.000 0.000 0.000 {built-in method builtins.issubclass} 2 0.000 0.000 0.000 0.000 base.py:821(_view) 1 0.000 0.000 0.000 0.000 <__array_function__ internals>:177(empty_like) 5 0.000 0.000 0.000 0.000 construction.py:461(ensure_wrapped_if_datetimelike) 6 0.000 0.000 0.000 0.000 config.py:650(_warn_if_deprecated) 1 0.000 0.000 0.000 0.000 managers.py:1061(from_blocks) 2 0.000 0.000 0.000 0.000 managers.py:642(copy_func) 6 0.000 0.000 0.000 0.000 {method 'split' of 'str' objects} 3 0.000 0.000 0.000 0.000 common.py:544(is_string_dtype) 6 0.000 0.000 0.000 0.000 common.py:151(cast_scalar_indexer) 18 0.000 0.000 0.000 0.000 {built-in method builtins.callable} 1 0.000 0.000 0.000 0.000 managers.py:1860() 2 0.000 0.000 0.000 0.000 arraylike.py:40(__eq__) 1 0.000 0.000 0.000 0.000 geodataframe.py:235(_set_geometry) 7 0.000 0.000 0.000 0.000 managers.py:2433(_using_copy_on_write) 7 0.000 0.000 0.000 0.000 array.py:358(__len__) 1 0.000 0.000 0.370 0.370 transformer.py:99(__call__) 4 0.000 0.000 0.000 0.000 managers.py:2069(internal_values) 2 0.000 0.000 0.000 0.000 common.py:1278(is_bool_dtype) 3 0.000 0.000 0.000 0.000 geodataframe.py:396(crs) 1 0.000 0.000 0.000 0.000 frame.py:609(__init__) 3 0.000 0.000 0.000 0.000 series.py:1267(_set_as_cached) 1 0.000 0.000 0.000 0.000 nanops.py:403(new_func) 1 0.000 0.000 0.000 0.000 crs.py:153(_is_epsg_code) 1 0.000 0.000 0.000 0.000 base.py:106(__eq__) 23 0.000 0.000 0.000 0.000 geoseries.py:237(geometry) 4 0.000 0.000 0.000 0.000 common.py:566(require_length_match) 3 0.000 0.000 0.000 0.000 blocks.py:1648(iget) 1 0.000 0.000 0.000 0.000 contextlib.py:86(__init__) 24 0.000 0.000 0.000 0.000 base.py:324(ndim) 11 0.000 0.000 0.000 0.000 {pandas._libs.lib.item_from_zerodim} 2 0.000 0.000 0.000 0.000 base.py:5464(equals) 6 0.000 0.000 0.000 0.000 {method 'get_loc' of 'pandas._libs.index.IndexEngine' objects} 4 0.000 0.000 0.000 0.000 _ufunc_config.py:426(__init__) 3 0.000 0.000 0.000 0.000 nanops.py:79(check) 2 0.000 0.000 0.000 0.000 {method 'reshape' of 'numpy.ndarray' objects} 3 0.000 0.000 0.000 0.000 common.py:1532(_is_dtype) 3 0.000 0.000 0.000 0.000 base.py:2581(is_object) 4 0.000 0.000 0.000 0.000 series.py:708(_values) 1 0.000 0.000 0.000 0.000 geodataframe.py:1542(__finalize__) 1 0.000 0.000 0.000 0.000 generic.py:11492(sum) 2 0.000 0.000 0.000 0.000 base.py:1023(view) 2 0.000 0.000 0.000 0.000 common.py:1246(is_float_dtype) 9 0.000 0.000 0.000 0.000 common.py:146(classes) 2 0.000 0.000 0.000 0.000 {method 'sum' of 'numpy.ndarray' objects} 4 0.000 0.000 0.000 0.000 construction.py:733(_maybe_repeat) 1 0.000 0.000 0.000 0.000 managers.py:272() 1 0.000 0.000 0.000 0.000 missing.py:191(_isna) 1 0.000 0.000 0.000 0.000 :1033(_handle_fromlist) 6 0.000 0.000 0.000 0.000 config.py:638(_translate_key) 1 0.000 0.000 0.000 0.000 {method 'is_exact_same' of 'pyproj._crs.Base' objects} 5 0.000 0.000 0.000 0.000 {method '__array__' of 'numpy.ndarray' objects} 6 0.000 0.000 0.000 0.000 {pandas._libs.lib.is_scalar} 1 0.000 0.000 0.000 0.000 transformer.py:308(__init__) 2 0.000 0.000 0.000 0.000 _methods.py:47(_sum) 7 0.000 0.000 0.000 0.000 managers.py:172(blknos) 3 0.000 0.000 0.000 0.000 common.py:1433(is_extension_array_dtype) 1 0.000 0.000 0.000 0.000 {built-in method _abc._abc_subclasscheck} 1 0.000 0.000 0.000 0.000 crs.py:125(_prepare_from_string) 1 0.000 0.000 0.000 0.000 {built-in method _abc._abc_instancecheck} 1 0.000 0.000 0.000 0.000 decorators.py:73() 1 0.000 0.000 0.000 0.000 contextlib.py:123(__exit__) 3 0.000 0.000 0.000 0.000 base.py:839(is_) 3 0.000 0.000 0.000 0.000 frame.py:1498(__len__) 1 0.000 0.000 0.000 0.000 generic.py:11777(sum) 1 0.000 0.000 0.000 0.000 abc.py:117(__instancecheck__) 5 0.000 0.000 0.000 0.000 common.py:1556(get_dtype) 1 0.000 0.000 0.000 0.000 nanops.py:469(newfunc) 2 0.000 0.000 0.000 0.000 {method 'ravel' of 'numpy.ndarray' objects} 1 0.000 0.000 0.000 0.000 {method 'take' of 'numpy.ndarray' objects} 4 0.000 0.000 0.000 0.000 geodataframe.py:1516(_constructor_sliced) 5 0.000 0.000 0.000 0.000 generic.py:332(attrs) 6 0.000 0.000 0.000 0.000 managers.py:2009(_block) 1 0.000 0.000 0.000 0.000 __init__.py:227(_releaseLock) 3 0.000 0.000 0.000 0.000 frame.py:4234(_ensure_valid_index) 1 0.000 0.000 0.000 0.000 _validators.py:226(validate_bool_kwarg) 2 0.000 0.000 0.000 0.000 crs.py:1566(__eq__) 1 0.000 0.000 0.002 0.002 crs.py:379(from_epsg) 3 0.000 0.000 0.000 0.000 common.py:573(condition) 1 0.000 0.000 0.000 0.000 crs.py:60(__init__) 1 0.000 0.000 0.000 0.000 managers.py:645() 1 0.000 0.000 0.000 0.000 contextlib.py:114(__enter__) 1 0.000 0.000 0.000 0.000 common.py:1048(is_numeric_v_string_like) 10 0.000 0.000 0.000 0.000 generic.py:353(flags) 8 0.000 0.000 0.000 0.000 {method 'get' of 'dict' objects} 4 0.000 0.000 0.000 0.000 base.py:5090(_values) 9 0.000 0.000 0.000 0.000 {pandas._libs.lib.is_integer} 1 0.000 0.000 0.000 0.000 crs.py:145(_prepare_from_authority) 2 0.000 0.000 0.000 0.000 construction.py:713(_sanitize_str_dtypes) 1 0.000 0.000 0.000 0.000 contextlib.py:261(helper) 1 0.000 0.000 0.000 0.000 base.py:46(__len__) 5 0.000 0.000 0.000 0.000 flags.py:53(allows_duplicate_labels) 8 0.000 0.000 0.000 0.000 {method 'pop' of 'dict' objects} 1 0.000 0.000 0.000 0.000 {method 'acquire' of '_thread.RLock' objects} 3 0.000 0.000 0.000 0.000 base.py:2622(is_categorical) 1 0.000 0.000 0.000 0.000 generic.py:445(_validate_dtype) 4 0.000 0.000 0.000 0.000 {method 'append' of 'list' objects} 1 0.000 0.000 0.000 0.000 common.py:684(is_integer_dtype) 1 0.000 0.000 0.000 0.000 array.py:37(construct_from_string) 2 0.000 0.000 0.000 0.000 base.py:870(_reset_identity) 1 0.000 0.000 0.000 0.000 managers.py:1846(is_consolidated) 1 0.000 0.000 0.000 0.000 series.py:764(__len__) 2 0.000 0.000 0.000 0.000 {built-in method builtins.next} 1 0.000 0.000 0.000 0.000 cast.py:1422(sanitize_to_nanoseconds) 1 0.000 0.000 0.000 0.000 base.py:494(find) 2 0.000 0.000 0.000 0.000 common.py:1154(needs_i8_conversion) 1 0.000 0.000 0.000 0.000 nanops.py:350(_na_ok_dtype) 1 0.000 0.000 0.000 0.000 managers.py:1864(_consolidate_inplace) 6 0.000 0.000 0.000 0.000 typing.py:1375(cast) 1 0.000 0.000 0.000 0.000 __init__.py:1675(getEffectiveLevel) 1 0.000 0.000 0.000 0.000 abc.py:121(__subclasscheck__) 8 0.000 0.000 0.000 0.000 {pandas._libs.lib.is_iterator} 6 0.000 0.000 0.000 0.000 base.py:6569(_maybe_cast_indexer) 3 0.000 0.000 0.000 0.000 managers.py:262(_clear_reference_block) 2 0.000 0.000 0.000 0.000 {built-in method __new__ of type object at 0x8dc7c0} 1 0.000 0.000 0.000 0.000 nanops.py:1453(_maybe_null_out) 1 0.000 0.000 0.000 0.000 common.py:77(get_op_result_name) 6 0.000 0.000 0.000 0.000 {pandas._libs.lib.is_float} 1 0.000 0.000 0.000 0.000 nanops.py:217(_maybe_get_mask) 1 0.000 0.000 0.000 0.000 {method 'isnumeric' of 'str' objects} 1 0.000 0.000 0.000 0.000 generic.py:550(_get_axis_number) 4 0.000 0.000 0.000 0.000 base.py:166(kind) 2 0.000 0.000 0.000 0.000 {built-in method pyproj._compat.cstrencode} 3 0.000 0.000 0.000 0.000 managers.py:188(blklocs) 1 0.000 0.000 0.000 0.000 {built-in method pandas._libs.missing.checknull} 1 0.000 0.000 0.000 0.000 crs.py:149(_prepare_from_epsg) 2 0.000 0.000 0.000 0.000 {built-in method numpy.asanyarray} 1 0.000 0.000 0.000 0.000 missing.py:108(isna) 1 0.000 0.000 0.000 0.000 common.py:393(is_timedelta64_dtype) 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects} 1 0.000 0.000 0.000 0.000 dispatch.py:13(should_extension_dispatch) 1 0.000 0.000 0.000 0.000 function.py:56(__call__) 1 0.000 0.000 0.000 0.000 managers.py:238(items) 1 0.000 0.000 0.000 0.000 nanops.py:1492(check_below_min_count) 1 0.000 0.000 0.000 0.000 {method 'values' of 'dict' objects} 1 0.000 0.000 0.000 0.000 series.py:546(_constructor) 2 0.000 0.000 0.000 0.000 shape_base.py:77(_atleast_2d_dispatcher) 2 0.000 0.000 0.000 0.000 _compat.py:196(ignore_shapely2_warnings) 1 0.000 0.000 0.000 0.000 geodataframe.py:1512(_constructor) 1 0.000 0.000 0.000 0.000 {method 'items' of 'dict' objects} 1 0.000 0.000 0.000 0.000 __init__.py:1276(disable) 1 0.000 0.000 0.000 0.000 {method 'release' of '_thread.RLock' objects} 1 0.000 0.000 0.000 0.000 common.py:156() 1 0.000 0.000 0.000 0.000 common.py:151(classes_and_not_datetimelike) 1 0.000 0.000 0.000 0.000 {pandas._libs.lib.is_bool} 1 0.000 0.000 0.000 0.000 multiarray.py:84(empty_like) 1 0.000 0.000 0.000 0.000 nanops.py:195(_get_fill_value) 1 0.000 0.000 0.000 0.000 decorators.py:66() 1 0.000 0.000 0.000 0.000 managers.py:330() 1 0.000 0.000 0.000 0.000 managers.py:997(__init__) 1 0.000 0.000 0.000 0.000 base.py:2017(nlevels) 1 0.000 0.000 0.000 0.000 base.py:130()