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LL$LD$ MIx HILLL$;LL$HIIx HILH5QLIHL9hLhM|L@AEtAEAtAIHH$pISLLD$ L$pHDŽ$xzLHD$= LL$LD$ MIx HI^LLL$9LL$HIIx HICLL9cC(H=$Q/bIHH@H5PLHHHIHxHIuLHL$HL$H5THHL$HL$HIH5SLHD$ HL$LD$ HIfLHHL$0LD$HD$ LD$LT$ HHL$0IqIx HImIx HIAL-H$xE1L9ifInfInHHL$ fl)$p襰LHD$hI$LD$HL$ xHI$M7Hx HHCLLD$NLD$HI|Ix HI(LH=JOU`IHH5NHIHIx HIHLD$٪LD$HIH$xE1M9hfInfInLLD$ fl)$p{LHD$>ILL$LD$ x HIMOIx HIL; L; ju L; &DIx HIEMHǃ1HHD$H=M_LL$HHH5aMHLL$ HD$gHL$LL$ HI Hx HH H$xE1M9o!fInfInLLL$ fl)$p0LHD$L\$LL$ M Ix HILLϺL\$ LL$¦LL$L\$ HI!Ix HIIx HIL;=-L;=@L;=3L質Aą-"Ix HIESLLLIH#H=YLHD$_]LT$HIG$H5KHLT$ HD$L\$LT$ HI%Ix HIE1M9o&fInfHnLLT$0L$pflLD$ I4)$p耬LD$ HD$L>LL$LT$0M%Ix HI{1LLLL$ LT$LT$LL$ HI%Ix HI Ix HI L;={L;=)kL;=G^L%Ix HI H=J[HF)H5QJHHD$DLL$HI(Ix HI^'E1M9oo(fInfInLLflLD$ )$pLD$ HD$LHL$H'Ix HI%'HHL$ѨHL$HI'Hx HH&L@L$HLL$uH$o$)$o$)$o$)$o$)$o$)$o$)$o$)$o$)$o$ )$ o$0)$0o$@)$@o$P)$Po$`)$`HLL|H$o$H$H$ )L$H$(IL$0)$L$8o$H$p)L$ )$o$H$x)L$0)$o$H$)L$@)$o$H$)L$P)$o$L$)L$`)$o$)L$p)$L$L$PL$XL$`L$hL$ 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H=rgH@`HHHHHH@L%KL9uufDHEHv|HHH)HHHtkHcIHEHHEH~_}HH5ʿHHnH@mAI)ċELDeEII HE4HHE&DeEII I`VHHHH5HH81e6}H@`H>HH.HIHL9`u{IEIEHHHH)HHHLzbIIEHIE}L^pH5yHaIHjHEHHEH]fDAI)AELxEeAEII dEeAEII IMLaI=aHqH'H5 H8@^VH H=oH ΙH=oH  H=_o]H zۙH=.Yo,H XH= 7o fAWH7fAVfHnAUATIUHHH0H(SHh)D$ fHnflHD$PHD$0HD$X)D$@HL,HHHJHH]HD$ HLH'HD$(H L}LKHM1fHL9H;\uIDHD$0HIY+HHFH]HD$0HFHD$(HHD$ H7H\$ H|$(&HHFoHH~HD$0)T$ HG HGHHHH)HHHl_IILLl$0u]HH H=zHJ\AƅHExHHEIEH= H52HGHHnIMi HI9D$M|$MAMt$tAAtAI$xHI$fHnfInHt$@Lflú)D$@zaHIxHIuLYHIx HI;L;-tHH.HIHL9`u{IEIEHHHH)HHHLZSIIEHIE}LNpH5YHAIHjHEHHEHNfDAI)AELxEeAEII dEeAEII IMLRI=RHqH{H5H8 OVH H=`H ҆H=٤`H H=j`]H Z߆H=9`,H 8"H=d` fAWHfAVfHnAUATIUHHH0H(SHh)D$ fHnflHD$PHD$0HD$X)D$@HL,HHHJHH]HD$ HLHHD$(H L}LKHM1fHL9H;\uIDHD$0HIY+HHFH]HD$0HFHD$(HHD$ H7H\$ H|$(&HHFoHH~HD$0)T$ HG HGHHHH)HHHlOIILLl$0UNHH H=ZH*MAƅHExHHEIEH=H5HGHHnIMi HwI9D$M|$MAMt$tAAtAI$xHI$fHnfInHt$@Lflú)D$@ZRHIxHIuLJHIx HI;L;-wtH="XHE.HHE H`EDgGII DDgGII Inf.HEHFLMHD$(HMHD$ =HDDIHuHqH5H8EHHIfDHt$HLMHD$@H\$H LHDAAHEx HHEt"H DDH=V@HDԾM@HL$ HT$@MLL !H<TwKKILD$L $CLD$L $I%HIt&H *H=ؚVHDLT$4$QC4$T$H@CL^(H8A@IEH{8A@HE|$L CHBH H=AE1yU@FH9HHoAH5%jL H H8H1yI_EAXLtBLgBDDDDAAI!yfH H=STgH@`HHHHHH@L% oL9uufDHEHv|HHH)HHHtkHEIHEHHEH>A}HH5芡HHnH@mAI)ċELDeEII HE4HHE&DeEII I`^VHHHsmH5HH81GCH@`H>HH.HIHL9`u{IEIEHHHH)HHHL:DIIEHIE}L?pH59H!IHjHEHHEH?fDAI)AELxEeAEII dEeAEII IMLlCI=_CHqHkH5H8@VH H=SQH H=1lQH kЋH=JQ]H :H=ޕQ,H H=P fAWAVAUATUHSHHH55HFHEHHHHHHx HHH5HF HEHHH\ HH~Hx HHZH5[H OHEH5/HH? HIMN H5GLjAą? uH5LIAą Ix HIHEH5HHHL IM& H5L$_ uH5L$ Ix HIHCH5HHH, IM L5wiL-(iM9M9uL;=AitL@Ix HIHEH5HHEHA IMC H{1L5qWq9IA@qAYqAHI)q|9I-z9IqA{qA}qAmx%qA5H/qH qH=QDH xYqAH=+CLI1H EDH=CAAUIATH5IHtLHƿ2y2HLA\A]ff.ATUHSH3IHtHHƿ2yHu2L[]A\ff.fAUIATUH5IHt"H9t H2y.LL2y&2L]A\A]ff.fUHHt H2y.H]q.HH while calling a Python objectNULL result without error in PyObject_Call%.200s() takes no arguments (%zd given)%.200s() takes exactly one argument (%zd given)%.200s() takes no keyword argumentsbase class '%.200s' is not a heap typeextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base type__int__ returned non-int (type %.200s). The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s)Interpreter change detected - this module can only be loaded into one interpreter per process.value too large to convert to inttoo many values to unpack (expected %zd)unbound method %.200S() needs an argument%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectUnexpected format string character: '%c'Acquisition count is %d (line %d)%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'%.200s() takes %.8s %zd positional argument%.1s (%zd given)ord() expected string of length 1, but %.200s foundord() expected a character, but string of length %zd foundShared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilinginvalid vtable found for imported typemultiple bases have vtable conflict: '%.200s' and '%.200s'join() result is too long for a Python string__annotations__ must be set to a dict object__qualname__ must be set to a string object__name__ must be set to a string object__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function callsfunction's dictionary may not be deletedsetting function's dictionary to a non-dicthasattr(): attribute name must be stringCannot convert %.200s to %.200sinstance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionBuffer dtype mismatch, expected %s%s%s but got %sBuffer dtype mismatch, expected '%s' but got %s in '%s.%s'Expected a dimension of size %zu, got %zuExpected %d dimensions, got %dPython does not define a standard format string size for long double ('g')..Buffer dtype mismatch; next field is at offset %zd but %zd expectedBig-endian buffer not supported on little-endian compilerBuffer acquisition: Expected '{' after 'T'Cannot handle repeated arrays in format stringDoes not understand character buffer dtype format string ('%c')Expected a dimension of size %zu, got %dExpected a comma in format string, got '%c'Expected %d dimension(s), got %dUnexpected end of format string, expected ')'Buffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zd byte%s) does not match size of '%s' (%zd byte%s)Argument '%.200s' has incorrect type (expected %.200s, got %.200s)cannot fit '%.200s' into an index-sized integer%s() got multiple values for keyword argument '%U'can't convert negative value to npy_uint64'%.200s' object is not subscriptablepandas/_libs/interval.cpython-312-x86_64-linux-gnu.so.p/pandas/_libs/interval.pyx.cView.MemoryView.memoryview_cwrapperItem size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s)Buffer exposes suboffsets but no stridesC-contiguous buffer is not indirect in dimension %dBuffer and memoryview are not contiguous in the same dimension.Buffer is not indirectly contiguous in dimension %d.Buffer is not indirectly accessible in dimension %d.Buffer not compatible with direct access in dimension %d.memviewslice is already initialized!object of type 'NoneType' has no len()pandas._libs.interval.__pyx_unpickle_IntervalMixin__set_statepandas._libs.interval.IntervalNode.countspandas._libs.interval.IntervalTree.get_indexer_non_uniqueOut of bounds on buffer access (axis %d)pandas._libs.interval.Interval.__reduce__pandas._libs.interval.IntervalMixin.__setstate_cython__'NoneType' object is not subscriptableView.MemoryView.__pyx_unpickle_Enum__set_stateView.MemoryView.memoryview.size.__get__View.MemoryView.memoryview.nbytes.__get__View.MemoryView.memoryview.itemsize.__get__View.MemoryView.memoryview.ndim.__get__View.MemoryView.memoryview.suboffsets.__get__View.MemoryView.memoryview.strides.__get__View.MemoryView.memoryview.shape.__get__View.MemoryView.memoryview.base.__get__View.MemoryView.transpose_memsliceView.MemoryView.array.__cinit__Argument '%.200s' must not be Noneexpected bytes, NoneType foundinteger division or modulo by zerovalue too large to perform divisionView.MemoryView._allocate_bufferView.MemoryView._err_no_memoryView.MemoryView.copy_data_to_tempView.MemoryView.memoryview_copy_contentsView.MemoryView.get_slice_from_memviewView.MemoryView.memoryview.is_f_contigView.MemoryView.memoryview.is_c_contigPyObject_GetBuffer: view==NULL argument is obsoleteView.MemoryView.memoryview.__getbuffer__View.MemoryView.memoryview.__str__'NoneType' object is not iterableneed more than %zd value%.1s to unpackView.MemoryView.memoryview.__setitem__Subscript deletion not supported by 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not copy memoryview slice with indirect dimensions (axis %d)View.MemoryView.array_cwrapperView.MemoryView.memoryview_copy_from_sliceView.MemoryView.memoryview.copy_fortranView.MemoryView.slice_memviewslicelocal variable '%s' referenced before assignmentView.MemoryView.memoryview.__getitem__View.MemoryView.array.__getattr__View.MemoryView.memoryview.copypandas._libs.interval.Int64ClosedLeftIntervalNode.classify_intervalspandas._libs.interval.Int64ClosedNeitherIntervalNode.classify_intervalspandas._libs.interval.Uint64ClosedNeitherIntervalNode.classify_intervalspandas._libs.interval.Int64ClosedRightIntervalNode.classify_intervalspandas._libs.interval.Uint64ClosedLeftIntervalNode.classify_intervalspandas._libs.interval.Uint64ClosedRightIntervalNode.classify_intervalspandas._libs.interval.Int64ClosedBothIntervalNode.classify_intervalspandas._libs.interval.Float64ClosedLeftIntervalNode.classify_intervalspandas._libs.interval.Float64ClosedNeitherIntervalNode.classify_intervalspandas._libs.interval.Float64ClosedRightIntervalNode.classify_intervalspandas._libs.interval.Uint64ClosedBothIntervalNode.classify_intervalspandas._libs.interval.Float64ClosedBothIntervalNode.classify_intervalsView.MemoryView.memoryview_copyView.MemoryView.memoryview.T.__get__Unable to initialize pickling for %.200sBuffer acquisition failed on assignment; and then reacquiring the old buffer failed 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single character unicode strings can be converted to Py_UCS4, got length %zdpandas._libs.interval.IntervalTree.__pyx_fused_cpdefdictionary changed size during iteration'NoneType' object has no attribute '%.30s''%.200s' object is unsliceablepandas._libs.interval.IntervalTree.is_overlapping.__get__pandas._libs.interval.__pyx_unpickle_Int64ClosedBothIntervalNode__set_statepandas._libs.interval.Int64ClosedBothIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Int64ClosedLeftIntervalNode__set_statepandas._libs.interval.Int64ClosedLeftIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Int64ClosedRightIntervalNode__set_statepandas._libs.interval.Int64ClosedRightIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Int64ClosedNeitherIntervalNode__set_statepandas._libs.interval.Int64ClosedNeitherIntervalNode.__setstate_cython__pandas._libs.interval.IntervalMixin._check_closed_matchespandas._libs.interval.__pyx_unpickle_Uint64ClosedBothIntervalNode__set_statepandas._libs.interval.Uint64ClosedBothIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Uint64ClosedNeitherIntervalNode__set_statepandas._libs.interval.Uint64ClosedNeitherIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Uint64ClosedLeftIntervalNode__set_statepandas._libs.interval.Uint64ClosedLeftIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Uint64ClosedRightIntervalNode__set_statepandas._libs.interval.Uint64ClosedRightIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Float64ClosedRightIntervalNode__set_statepandas._libs.interval.Float64ClosedRightIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Float64ClosedBothIntervalNode__set_statepandas._libs.interval.Float64ClosedBothIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Float64ClosedNeitherIntervalNode__set_statepandas._libs.interval.Float64ClosedNeitherIntervalNode.__setstate_cython__pandas._libs.interval.__pyx_unpickle_Float64ClosedLeftIntervalNode__set_statepandas._libs.interval.Float64ClosedLeftIntervalNode.__setstate_cython__pandas._libs.interval.Float64ClosedBothIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Float64ClosedRightIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Float64ClosedNeitherIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Uint64ClosedBothIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Int64ClosedBothIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Int64ClosedRightIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Int64ClosedNeitherIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Uint64ClosedLeftIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Uint64ClosedRightIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Uint64ClosedNeitherIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Int64ClosedLeftIntervalNode.__pyx_fused_cpdefpandas._libs.interval.Float64ClosedLeftIntervalNode.__pyx_fused_cpdefpandas._libs.interval.__pyx_unpickle_IntervalNode__set_statepandas._libs.interval.IntervalNode.__setstate_cython__View.MemoryView.pybuffer_indexView.MemoryView.memoryview.get_item_pointerpandas._libs.interval.Interval._validate_endpointpandas._libs.interval.sort_values_and_indicespandas._libs.interval.Uint64ClosedNeitherIntervalNode.__init__pandas._libs.interval.Uint64ClosedBothIntervalNode.__init__pandas._libs.interval.Uint64ClosedRightIntervalNode.__init__pandas._libs.interval.Uint64ClosedLeftIntervalNode.__init__pandas._libs.interval.Int64ClosedNeitherIntervalNode.__init__pandas._libs.interval.Int64ClosedBothIntervalNode.__init__pandas._libs.interval.Int64ClosedRightIntervalNode.__init__pandas._libs.interval.Int64ClosedLeftIntervalNode.__init__pandas._libs.interval.Float64ClosedNeitherIntervalNode.__init__pandas._libs.interval.Float64ClosedBothIntervalNode.__init__pandas._libs.interval.Float64ClosedRightIntervalNode.__init__pandas._libs.interval.Float64ClosedLeftIntervalNode.__init__Module 'interval' has already been imported. Re-initialisation is not supported.compile time Python version %d.%d of module '%.100s' %s runtime version %d.%dpandas._libs.tslibs.timedeltaspandas._libs.tslibs.timestamps%.200s does not export expected C variable %.200sC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.200s does not export expected C function %.200sint (PyDateTime_TZInfo *, PyDateTime_TZInfo *, int __pyx_skip_dispatch)C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule was compiled against NumPy C-API version 0x%x (NumPy 1.20) but the running NumPy has C-API version 0x%x. Check the section C-API incompatibility at the Troubleshooting ImportError section at https://numpy.org/devdocs/user/troubleshooting-importerror.html#c-api-incompatibility for indications on how to solve this problem.FATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimeView.MemoryView.memoryview.convert_item_to_objectView.MemoryView._memoryviewslice.convert_item_to_objectView.MemoryView.memoryview.assign_item_from_objectView.MemoryView._memoryviewslice.assign_item_from_object__pyx_unpickle_Float64ClosedNeitherIntervalNodepandas._libs.interval.__pyx_unpickle_Float64ClosedNeitherIntervalNode__pyx_unpickle_Uint64ClosedLeftIntervalNodepandas._libs.interval.__pyx_unpickle_Uint64ClosedLeftIntervalNode__pyx_unpickle_Int64ClosedNeitherIntervalNodepandas._libs.interval.__pyx_unpickle_Int64ClosedNeitherIntervalNode__pyx_unpickle_Float64ClosedRightIntervalNodepandas._libs.interval.__pyx_unpickle_Float64ClosedRightIntervalNode__pyx_unpickle_Int64ClosedBothIntervalNodepandas._libs.interval.__pyx_unpickle_Int64ClosedBothIntervalNodepandas._libs.interval.__pyx_unpickle_IntervalMixin__pyx_unpickle_Int64ClosedRightIntervalNodepandas._libs.interval.__pyx_unpickle_Int64ClosedRightIntervalNode__pyx_unpickle_Float64ClosedLeftIntervalNodepandas._libs.interval.__pyx_unpickle_Float64ClosedLeftIntervalNodeView.MemoryView.__pyx_unpickle_Enumpandas._libs.interval.__pyx_unpickle_IntervalNode__pyx_unpickle_Uint64ClosedRightIntervalNodepandas._libs.interval.__pyx_unpickle_Uint64ClosedRightIntervalNode__pyx_unpickle_Uint64ClosedNeitherIntervalNodepandas._libs.interval.__pyx_unpickle_Uint64ClosedNeitherIntervalNodepandas._libs.interval.__pyx_unpickle_IntervalTree__pyx_unpickle_Uint64ClosedBothIntervalNodepandas._libs.interval.__pyx_unpickle_Uint64ClosedBothIntervalNode__pyx_unpickle_Float64ClosedBothIntervalNodepandas._libs.interval.__pyx_unpickle_Float64ClosedBothIntervalNode__pyx_unpickle_Int64ClosedLeftIntervalNodepandas._libs.interval.__pyx_unpickle_Int64ClosedLeftIntervalNodepandas._libs.interval._interval_likepandas._libs.interval.Interval.__contains___cython_3_0_5.fused_cython_function_cython_3_0_5.cython_function_or_methodpandas._libs.interval._memoryviewsliceInternal class for passing memoryview slices to Pythonpandas._libs.interval.memoryviewpandas._libs.interval.Uint64ClosedNeitherIntervalNodeNon-terminal node for an IntervalTree Categorizes intervals by those that fall to the left, those that fall to the right, and those that overlap with the pivot. pandas._libs.interval.Uint64ClosedBothIntervalNodepandas._libs.interval.Uint64ClosedRightIntervalNodepandas._libs.interval.Uint64ClosedLeftIntervalNodepandas._libs.interval.Int64ClosedNeitherIntervalNodepandas._libs.interval.Int64ClosedBothIntervalNodepandas._libs.interval.Int64ClosedRightIntervalNodepandas._libs.interval.Int64ClosedLeftIntervalNodepandas._libs.interval.Float64ClosedNeitherIntervalNodepandas._libs.interval.Float64ClosedBothIntervalNodepandas._libs.interval.Float64ClosedRightIntervalNodepandas._libs.interval.Float64ClosedLeftIntervalNodepandas._libs.interval.IntervalNodepandas._libs.interval.IntervalTreeA centered interval tree Based off the algorithm described on Wikipedia: https://en.wikipedia.org/wiki/Interval_tree we are emulating the IndexEngine interface How to sort the left labels; this is used for binary search How to sort the right labels Determine if the IntervalTree contains overlapping intervals. Cached as self._is_overlapping. Return True if the IntervalTree is monotonic increasing (only equal or increasing values), else False __pyx_fuse_0get_indexer_non_unique__pyx_fuse_1get_indexer_non_unique__pyx_fuse_2get_indexer_non_uniquepandas._libs.interval.Interval Immutable object implementing an Interval, a bounded slice-like interval. Parameters ---------- left : orderable scalar Left bound for the interval. right : orderable scalar Right bound for the interval. closed : {'right', 'left', 'both', 'neither'}, default 'right' Whether the interval is closed on the left-side, right-side, both or neither. See the Notes for more detailed explanation. See Also -------- IntervalIndex : An Index of Interval objects that are all closed on the same side. cut : Convert continuous data into discrete bins (Categorical of Interval objects). qcut : Convert continuous data into bins (Categorical of Interval objects) based on quantiles. Period : Represents a period of time. Notes ----- The parameters `left` and `right` must be from the same type, you must be able to compare them and they must satisfy ``left <= right``. A closed interval (in mathematics denoted by square brackets) contains its endpoints, i.e. the closed interval ``[0, 5]`` is characterized by the conditions ``0 <= x <= 5``. This is what ``closed='both'`` stands for. An open interval (in mathematics denoted by parentheses) does not contain its endpoints, i.e. the open interval ``(0, 5)`` is characterized by the conditions ``0 < x < 5``. This is what ``closed='neither'`` stands for. Intervals can also be half-open or half-closed, i.e. ``[0, 5)`` is described by ``0 <= x < 5`` (``closed='left'``) and ``(0, 5]`` is described by ``0 < x <= 5`` (``closed='right'``). Examples -------- It is possible to build Intervals of different types, like numeric ones: >>> iv = pd.Interval(left=0, right=5) >>> iv Interval(0, 5, closed='right') You can check if an element belongs to it, or if it contains another interval: >>> 2.5 in iv True >>> pd.Interval(left=2, right=5, closed='both') in iv True You can test the bounds (``closed='right'``, so ``0 < x <= 5``): >>> 0 in iv False >>> 5 in iv True >>> 0.0001 in iv True Calculate its length >>> iv.length 5 You can operate with `+` and `*` over an Interval and the operation is applied to each of its bounds, so the result depends on the type of the bound elements >>> shifted_iv = iv + 3 >>> shifted_iv Interval(3, 8, closed='right') >>> extended_iv = iv * 10.0 >>> extended_iv Interval(0.0, 50.0, closed='right') To create a time interval you can use Timestamps as the bounds >>> year_2017 = pd.Interval(pd.Timestamp('2017-01-01 00:00:00'), ... pd.Timestamp('2018-01-01 00:00:00'), ... closed='left') >>> pd.Timestamp('2017-01-01 00:00') in year_2017 True >>> year_2017.length Timedelta('365 days 00:00:00') Left bound for the interval. Examples -------- >>> interval = pd.Interval(left=1, right=2, closed='left') >>> interval Interval(1, 2, closed='left') >>> interval.left 1 Right bound for the interval. Examples -------- >>> interval = pd.Interval(left=1, right=2, closed='left') >>> interval Interval(1, 2, closed='left') >>> interval.right 2 String describing the inclusive side the intervals. Either ``left``, ``right``, ``both`` or ``neither``. Examples -------- >>> interval = pd.Interval(left=1, right=2, closed='left') >>> interval Interval(1, 2, closed='left') >>> interval.closed 'left' pandas._libs.interval.IntervalMixin Check if the interval is closed on the left side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is closed on the left-side. See Also -------- Interval.closed_right : Check if the interval is closed on the right side. Interval.open_left : Boolean inverse of closed_left. Examples -------- >>> iv = pd.Interval(0, 5, closed='left') >>> iv.closed_left True >>> iv = pd.Interval(0, 5, closed='right') >>> iv.closed_left False Check if the interval is closed on the right side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is closed on the left-side. See Also -------- Interval.closed_left : Check if the interval is closed on the left side. Interval.open_right : Boolean inverse of closed_right. Examples -------- >>> iv = pd.Interval(0, 5, closed='both') >>> iv.closed_right True >>> iv = pd.Interval(0, 5, closed='left') >>> iv.closed_right False Check if the interval is open on the left side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is not closed on the left-side. See Also -------- Interval.open_right : Check if the interval is open on the right side. Interval.closed_left : Boolean inverse of open_left. Examples -------- >>> iv = pd.Interval(0, 5, closed='neither') >>> iv.open_left True >>> iv = pd.Interval(0, 5, closed='both') >>> iv.open_left False Check if the interval is open on the right side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is not closed on the left-side. See Also -------- Interval.open_left : Check if the interval is open on the left side. Interval.closed_right : Boolean inverse of open_right. Examples -------- >>> iv = pd.Interval(0, 5, closed='left') >>> iv.open_right True >>> iv = pd.Interval(0, 5) >>> iv.open_right False Return the midpoint of the Interval. Examples -------- >>> iv = pd.Interval(0, 5) >>> iv.mid 2.5 Return the length of the Interval. See Also -------- Interval.is_empty : Indicates if an interval contains no points. Examples -------- >>> interval = pd.Interval(left=1, right=2, closed='left') >>> interval Interval(1, 2, closed='left') >>> interval.length 1 Indicates if an interval is empty, meaning it contains no points. Returns ------- bool or ndarray A boolean indicating if a scalar :class:`Interval` is empty, or a boolean ``ndarray`` positionally indicating if an ``Interval`` in an :class:`~arrays.IntervalArray` or :class:`IntervalIndex` is empty. See Also -------- Interval.length : Return the length of the Interval. Examples -------- An :class:`Interval` that contains points is not empty: >>> pd.Interval(0, 1, closed='right').is_empty False An ``Interval`` that does not contain any points is empty: >>> pd.Interval(0, 0, closed='right').is_empty True >>> pd.Interval(0, 0, closed='left').is_empty True >>> pd.Interval(0, 0, closed='neither').is_empty True An ``Interval`` that contains a single point is not empty: >>> pd.Interval(0, 0, closed='both').is_empty False An :class:`~arrays.IntervalArray` or :class:`IntervalIndex` returns a boolean ``ndarray`` positionally indicating if an ``Interval`` is empty: >>> ivs = [pd.Interval(0, 0, closed='neither'), ... pd.Interval(1, 2, closed='neither')] >>> pd.arrays.IntervalArray(ivs).is_empty array([ True, False]) Missing values are not considered empty: >>> ivs = [pd.Interval(0, 0, closed='neither'), np.nan] >>> pd.IntervalIndex(ivs).is_empty array([ True, False]) Bad call flags for CyFunction__loader__loader__file__origin__package__parent__path__submodule_search_locations%.200s() needs an argumentan integer is requiredkeywords must be stringsexactlyclear_mapping_cython_3_0_5Missing type objectendunparsable format string'complex double''signed char''unsigned char''short''unsigned short''int''unsigned int''long''unsigned long''long long''unsigned long long''double''complex long double''bool''char''complex float''float'a structPython objecta pointera string'long double'buffer dtypendarrayFunction is not fusedcannot import name %S%s (%s:%d)countspandas/_libs/intervaltree.pxiget_indexer_non_uniquetarget__reduce__interval.pyx__setstate_cython__tupleExpected %s, got %.200sView.MemoryView._errat leastat most__cinit__shapeformatView.MemoryView._err_dimView.MemoryView._err_extentsis_f_contigis_c_contigView.MemoryView._unellipsifyView.MemoryView.Enum.__init__pandas._libs.interval.take__reduce_cython__Memoryview is not initializedcopy_fortranView.MemoryView.memview_slicememviewsliceobjcopyunicodename '%U' is not defined__pyx_fuse_0queryresult__pyx_fuse_1query__pyx_fuse_2queryclosedopintervals_to_interval_boundsintervalsutil.pxdoverlaps__pyx_fused_cpdef_check_closed_matches_validate_endpointbuiltinscython_runtime__builtins__does not match__debug__datetimedatetimedeltatzinfonumpyflatiterbroadcastgenericnumberunsignedintegerinexactcomplexfloatingflexiblecharacterufuncpandas._libs.hashtableUInt64HashTableUInt32HashTableUInt16HashTableUInt8HashTableFloat64HashTableFloat32HashTableComplex64HashTableComplex128HashTablePyObjectHashTableStringHashTableInt64Vector_Timedeltapandas._libs.tslibs.baseABCTimestamppandas._libs.tslibs.offsetsBaseOffset_Timestamppandas._libs.tslibs.timezones__pyx_capi__utc_stdlibPyDateTime_TZInfo *tz_compareView.MemoryViewdatetime.datetime_CAPInumpy._core._multiarray_umathnumpy.core._multiarray_umath_ARRAY_API_ARRAY_API is NULL pointer__init__.cython-30.pxdnumpy.import_arrayinit pandas._libs.interval'NoneType' is not iterable__pyx_unpickle_IntervalMixin__pyx_unpickle_Enum__pyx_unpickle_IntervalNode__pyx_unpickle_IntervalTree__doc____signatures____self____module__func_docfunc_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutineCythonUnboundCMethodTstridessuboffsetsndimitemsizenbytes__repr__pandas._libs.interval.Enumpandas._libs.interval.arraymemview__getattr__left_noderight_nodecenter_left_valuescenter_right_valuescenter_left_indicescenter_right_indicesmin_leftmax_rightpivotn_elementsn_centerleaf_sizeis_leaf_nodeis_monotonic_increasingroot_is_overlapping_left_sorter_right_sorter_na_count__pyx_fuse_0get_indexer__pyx_fuse_1get_indexer__pyx_fuse_2get_indexer__radd____rmul__closed_leftclosed_rightopen_leftopen_rightmidlengthis_emptyuint64_tfloat64_t)'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''')'')'''''d)p)''|)'')((''(''''''''''''' )))'0)J))(''('''')''&%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%&%%&%%%%%&&%%&%%V&b&n&%%z&%%%%%%%%%%%%%&&%%&0&J&%%%&%%%%&%%(''('''''))'')'')))''''''''''''''''((**'*)))'')'''()'(s)3&3&s)3&3&3&3&3&s)s)3&3&s)3&3&))s)3&3&3&3&3&3&3&3&3&3&3&3&3&3&3&3&i)*})3&})})i)i)3&3&i)3&3&3&i)i)3&i)L'D&D&L'D&D&D&D&D&((D&D&(D&D&(((D&D&D&D&D&D&D&D&D&D&D&D&D&D&D&D&L'L')D&,))((D&D&(D&D&D&L'(D&L'*)))))))))*))*))))))))))))))))))**))))))+*)))))))))))))))))%,),**)*)))))))))))))))))))B,)))))+)))*))))))))))))))))))))g-))))q+))))'+H; .}6-$IIGGGȊT4th, =<<("D$>5, ``^^^تҨɨP>0>J>> i1 = pd.Interval(0, 2) >>> i2 = pd.Interval(1, 3) >>> i1.overlaps(i2) True >>> i3 = pd.Interval(4, 5) >>> i1.overlaps(i3) False Intervals that share closed endpoints overlap: >>> i4 = pd.Interval(0, 1, closed='both') >>> i5 = pd.Interval(1, 2, closed='both') >>> i4.overlaps(i5) True Intervals that only have an open endpoint in common do not overlap: >>> i6 = pd.Interval(1, 2, closed='neither') >>> i4.overlaps(i6) False Check if the closed attribute of `other` matches. Note that 'left' and 'right' are considered different from 'both'. Parameters ---------- other : Interval, IntervalIndex, IntervalArray name : str Name to use for 'other' in the error message. Raises ------ ValueError When `other` is not closed exactly the same as self. Uint64ClosedLeftIntervalNode.__pyx_fuse_1queryUint64ClosedBothIntervalNode.__pyx_fuse_1queryInt64ClosedRightIntervalNode.__pyx_fuse_1queryInt64ClosedLeftIntervalNode.__pyx_fuse_1queryInt64ClosedBothIntervalNode.__pyx_fuse_1queryIncompatible checksums (0x%x vs (0xd83160e, 0x13b3cb3, 0x7a104e5) = (center_left_indices, center_left_values, center_right_indices, center_right_values, indices, is_leaf_node, leaf_size, left, left_node, max_right, min_left, n_center, n_elements, pivot, right, right_node))Incompatible checksums (0x%x vs (0xf71eb60, 0xdef0943, 0x8242110) = (is_leaf_node, leaf_size, n_center, n_elements))Incompatible checksums (0x%x vs (0xc455aed, 0x0efe1f4, 0xec467df) = (_is_overlapping, _left_sorter, _na_count, _right_sorter, closed, dtype, left, right, root))Incompatible checksums (0x%x vs (0xe3b0c44, 0xda39a3e, 0xd41d8cd) = ())Float64ClosedNeitherIntervalNode.__setstate_cython__Float64ClosedNeitherIntervalNode.__reduce_cython__Float64ClosedNeitherIntervalNode.queryFloat64ClosedNeitherIntervalNode.__pyx_fuse_2queryFloat64ClosedNeitherIntervalNode.__pyx_fuse_1queryUint64ClosedNeitherIntervalNode.__setstate_cython__Uint64ClosedNeitherIntervalNode.__reduce_cython__Uint64ClosedNeitherIntervalNode.queryUint64ClosedNeitherIntervalNode.__pyx_fuse_1query Check if the interval is open on the right side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is not closed on the left-side. See Also -------- Interval.open_left : Check if the interval is open on the left side. Interval.closed_right : Boolean inverse of open_right. Examples -------- >>> iv = pd.Interval(0, 5, closed='left') >>> iv.open_right True >>> iv = pd.Interval(0, 5) >>> iv.open_right False Check if the interval is closed on the right side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is closed on the left-side. See Also -------- Interval.closed_left : Check if the interval is closed on the left side. Interval.open_right : Boolean inverse of closed_right. Examples -------- >>> iv = pd.Interval(0, 5, closed='both') >>> iv.closed_right True >>> iv = pd.Interval(0, 5, closed='left') >>> iv.closed_right False unable to allocate shape and strides.numpy._core.umath failed to importnumpy._core.multiarray failed to importno default __reduce__ due to non-trivial __cinit__left side of interval must be <= right sideleft and right must have the same time zone, got indexer does not intersect a unique set of intervalsgot differing extents in dimension Unable to convert item to objectUint64ClosedRightIntervalNode.queryUint64ClosedLeftIntervalNode.queryUint64ClosedLeftIntervalNode.__setstate_cython__Uint64ClosedLeftIntervalNode.__reduce_cython__Uint64ClosedLeftIntervalNode.__pyx_fuse_0queryUint64ClosedBothIntervalNode.queryUint64ClosedBothIntervalNode.__setstate_cython__Uint64ClosedBothIntervalNode.__reduce_cython__Uint64ClosedBothIntervalNode.__pyx_fuse_0queryTime zones are not available from the C-API.Out of bounds on buffer access (axis Only numeric, Timestamp and Timedelta endpoints are allowed when constructing an Interval.Invalid mode, expected 'c' or 'fortran', got IntervalTree.get_indexer_non_uniqueIntervalMixin.mid.__get__ (line 165)IntervalMixin.length.__get__ (line 182)IntervalMixin.is_empty.__get__ (line 201)IntervalMixin.closed_right.__get__ (line 78)IntervalMixin._check_closed_matchesInt64ClosedRightIntervalNode.queryInt64ClosedRightIntervalNode.__setstate_cython__Int64ClosedRightIntervalNode.__reduce_cython__Int64ClosedRightIntervalNode.__pyx_fuse_0queryInt64ClosedNeitherIntervalNode.queryInt64ClosedNeitherIntervalNode.__setstate_cython__Int64ClosedNeitherIntervalNode.__reduce_cython__Int64ClosedNeitherIntervalNode.__pyx_fuse_1queryInt64ClosedLeftIntervalNode.queryInt64ClosedLeftIntervalNode.__setstate_cython__Int64ClosedLeftIntervalNode.__reduce_cython__Int64ClosedLeftIntervalNode.__pyx_fuse_0queryInt64ClosedBothIntervalNode.queryInt64ClosedBothIntervalNode.__setstate_cython__Int64ClosedBothIntervalNode.__reduce_cython__Int64ClosedBothIntervalNode.__pyx_fuse_0queryIndirect dimensions not supportedIncompatible checksums (0x%x vs (0x82a3537, 0x6ae9995, 0xb068931) = (name))Function call with ambiguous argument typesFloat64ClosedRightIntervalNode.queryFloat64ClosedRightIntervalNode.__setstate_cython__Float64ClosedRightIntervalNode.__reduce_cython__Float64ClosedRightIntervalNode.__pyx_fuse_2queryFloat64ClosedRightIntervalNode.__pyx_fuse_1queryFloat64ClosedNeitherIntervalNode.__pyx_fuse_0queryFloat64ClosedLeftIntervalNode.queryFloat64ClosedBothIntervalNode.queryExpected at least %d argument%s, got %dEmpty shape tuple for cython.arrayCannot transpose memoryview with indirect dimensionsCannot create writable memory view from read-only memoryviewCannot assign to read-only memoryviewCan only create a buffer that is contiguous in memory.Buffer view does not expose stridesAll dimensions preceding dimension %d must be indexed and not sliced/project/pandas/_libs/interval.pyxintervals must all be closed on the same sideUint64ClosedRightIntervalNode.__setstate_cython__Uint64ClosedRightIntervalNode.__reduce_cython__Uint64ClosedRightIntervalNode.__pyx_fuse_1queryUint64ClosedNeitherIntervalNode.__pyx_fuse_0query Return the midpoint of the Interval. Examples -------- >>> iv = pd.Interval(0, 5) >>> iv.mid 2.5 Return the length of the Interval. See Also -------- Interval.is_empty : Indicates if an interval contains no points. Examples -------- >>> interval = pd.Interval(left=1, right=2, closed='left') >>> interval Interval(1, 2, closed='left') >>> interval.length 1 IntervalMixin.closed_left.__get__ (line 49)IntervalMixin.__setstate_cython__ Indicates if an interval is empty, meaning it contains no points. Returns ------- bool or ndarray A boolean indicating if a scalar :class:`Interval` is empty, or a boolean ``ndarray`` positionally indicating if an ``Interval`` in an :class:`~arrays.IntervalArray` or :class:`IntervalIndex` is empty. See Also -------- Interval.length : Return the length of the Interval. Examples -------- An :class:`Interval` that contains points is not empty: >>> pd.Interval(0, 1, closed='right').is_empty False An ``Interval`` that does not contain any points is empty: >>> pd.Interval(0, 0, closed='right').is_empty True >>> pd.Interval(0, 0, closed='left').is_empty True >>> pd.Interval(0, 0, closed='neither').is_empty True An ``Interval`` that contains a single point is not empty: >>> pd.Interval(0, 0, closed='both').is_empty False An :class:`~arrays.IntervalArray` or :class:`IntervalIndex` returns a boolean ``ndarray`` positionally indicating if an ``Interval`` is empty: >>> ivs = [pd.Interval(0, 0, closed='neither'), ... pd.Interval(1, 2, closed='neither')] >>> pd.arrays.IntervalArray(ivs).is_empty array([ True, False]) Missing values are not considered empty: >>> ivs = [pd.Interval(0, 0, closed='neither'), np.nan] >>> pd.IntervalIndex(ivs).is_empty array([ True, False]) Float64ClosedLeftIntervalNode.__setstate_cython__Float64ClosedLeftIntervalNode.__reduce_cython__Float64ClosedLeftIntervalNode.__pyx_fuse_2queryFloat64ClosedLeftIntervalNode.__pyx_fuse_1queryFloat64ClosedBothIntervalNode.__setstate_cython__Float64ClosedBothIntervalNode.__reduce_cython__Float64ClosedBothIntervalNode.__pyx_fuse_2queryFloat64ClosedBothIntervalNode.__pyx_fuse_1query Check whether two Interval objects overlap. Two intervals overlap if they share a common point, including closed endpoints. Intervals that only have an open endpoint in common do not overlap. Parameters ---------- other : Interval Interval to check against for an overlap. Returns ------- bool True if the two intervals overlap. See Also -------- IntervalArray.overlaps : The corresponding method for IntervalArray. IntervalIndex.overlaps : The corresponding method for IntervalIndex. Examples -------- >>> i1 = pd.Interval(0, 2) >>> i2 = pd.Interval(1, 3) >>> i1.overlaps(i2) True >>> i3 = pd.Interval(4, 5) >>> i1.overlaps(i3) False Intervals that share closed endpoints overlap: >>> i4 = pd.Interval(0, 1, closed='both') >>> i5 = pd.Interval(1, 2, closed='both') >>> i4.overlaps(i5) True Intervals that only have an open endpoint in common do not overlap: >>> i6 = pd.Interval(1, 2, closed='neither') >>> i4.overlaps(i6) False Check if the interval is open on the left side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is not closed on the left-side. See Also -------- Interval.open_right : Check if the interval is open on the right side. Interval.closed_left : Boolean inverse of open_left. Examples -------- >>> iv = pd.Interval(0, 5, closed='neither') >>> iv.open_left True >>> iv = pd.Interval(0, 5, closed='both') >>> iv.open_left False Check if the interval is closed on the left side. For the meaning of `closed` and `open` see :class:`~pandas.Interval`. Returns ------- bool True if the Interval is closed on the left-side. See Also -------- Interval.closed_right : Check if the interval is closed on the right side. Interval.open_left : Boolean inverse of closed_left. Examples -------- >>> iv = pd.Interval(0, 5, closed='left') >>> iv.closed_left True >>> iv = pd.Interval(0, 5, closed='right') >>> iv.closed_left False __pyx_unpickle_Uint64ClosedRightIntervalNode__pyx_unpickle_Uint64ClosedNeitherIntervalNode__pyx_unpickle_Uint64ClosedLeftIntervalNode__pyx_unpickle_Uint64ClosedBothIntervalNode__pyx_unpickle_Int64ClosedRightIntervalNode__pyx_unpickle_Int64ClosedNeitherIntervalNode__pyx_unpickle_Int64ClosedLeftIntervalNode__pyx_unpickle_Int64ClosedBothIntervalNode__pyx_unpickle_Float64ClosedRightIntervalNode__pyx_unpickle_Float64ClosedNeitherIntervalNode__pyx_unpickle_Float64ClosedLeftIntervalNode__pyx_unpickle_Float64ClosedBothIntervalNodeIntervalTree.__setstate_cython__IntervalNode.__setstate_cython__IntervalMixin.open_right.__get__ (line 136)Int64ClosedNeitherIntervalNode.__pyx_fuse_0queryFloat64ClosedRightIntervalNode.__pyx_fuse_0queryunable to allocate array data.pandas/_libs/intervaltree.pxi`other` must be an Interval, got Uint64ClosedRightIntervalNode.__pyx_fuse_0queryIntervalMixin.open_left.__get__ (line 107)IntervalMixin.__reduce_cython__Float64ClosedLeftIntervalNode.__pyx_fuse_0queryFloat64ClosedBothIntervalNode.__pyx_fuse_0queryintervals_to_interval_boundsIntervalTree.__reduce_cython__IntervalNode.__reduce_cython__itemsize <= 0 for cython.arrayinvalid option for 'closed': %sStep may not be zero (axis %d)No matching signature foundInterval._validate_endpoint__pyx_unpickle_IntervalMixinInterval.overlaps (line 539)IntervalTree.clear_mappingIndex out of bounds (axis %d)__pyx_unpickle_IntervalTree__pyx_unpickle_IntervalNodeinvalid option for 'closed': Dimension %d is not directIntervalTree.get_indexerget_indexer_non_uniqueCannot index with type 'pandas._libs.intervalInvalid shape in axis _check_closed_matchesIntervalNode.countspandas._libs.algos is not an intervalcline_in_tracebackcenter_left_valuesasyncio.coroutines_validate_endpoint__pyx_unpickle_Enum elements (terminal)>Interval.overlapsInterval.__reduce__validate_closed__setstate_cython____pyx_fuse_2query__pyx_fuse_1query__pyx_fuse_0query__pyx_PickleErrordtype_is_objectcollections.abcallocate_bufferView.MemoryView_fused_sigindex__array_priority__NotImplementedAssertionError__reduce_cython__clear_mapping__class_getitem__OverflowErrorIntervalMixinversion_infouse_setstate__pyx_checksumis_monotonic_is_coroutine_initializingclosed_rightVALID_CLOSEDRuntimeErrorNODE_CLASSESIntervalTreeseen_closedresult_type overlapping)>left_sorterget_indexercollectionsclosed_leftPickleErrorMemoryErrorImportError with value right_node__pyx_vtable____pyx_resultopen_rightnp.ndarrayn_elementsValueErrorIndexError__reduce_ex____pyx_stateopen_leftleft_nodeleaf_sizeisenabledintervalsfloat64_tenumerate.closed' is TypeErroruint64_t__setstate__register__pyx_typeoverlapsoperatoritemsizeinterval__getstate__, expected endpoint elements (defaults, closed=SequenceKeyErrorIntervalEllipsis right, 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