-0.022224 If you wish to do indexing with sequences and slicing on an integer index with label semantics, use ix. 1.2.5 Other API Changes • The deprecated LongPanel class has been completely removed Out[315]: 255 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics are quite different in places from a matrix. 5.2.12 Console display For very large DataFrame objects is described in the Advanced indexing section detailing the .ix method. For now, we explain the semantics of slicing using the [] operator. With Series, the syntax works exactly as with an ndarray, returning

-0.022224 If you wish to do indexing with sequences and slicing on an integer index with label semantics, use ix. 1.3.5 Other API Changes • The deprecated LongPanel class has been completely removed Out[315]: 255 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics are quite different in places from a matrix. 5.2.12 Console display For very large DataFrame objects is described in the Advanced indexing section detailing the .ix method. For now, we explain the semantics of slicing using the [] operator. With Series, the syntax works exactly as with an ndarray, returning

can now work with non-unique indexes. Data alignment / join operations work according to SQL join semantics (including, if application, index duplication in many-to-many joins) 1.19.2 NumPy datetime64 dtype dtype: float64 If you wish to do indexing with sequences and slicing on an integer index with label semantics, use ix. 1.23.5 Other API Changes • The deprecated LongPanel class has been completely removed Out[98]: 255 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics are quite different in places from a matrix. 9.2.14 Console display Very large DataFrames will

1.332007 If you wish to do indexing with sequences and slicing on an integer index with label semantics, use ix. 1.4.5 Other API Changes • The deprecated LongPanel class has been completely removed Out[315]: 255 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics are quite different in places from a matrix. 5.2.12 Console display For very large DataFrame objects is described in the Advanced indexing section detailing the .ix method. For now, we explain the semantics of slicing using the [] operator. With Series, the syntax works exactly as with an ndarray, returning

can now work with non-unique indexes. Data alignment / join operations work according to SQL join semantics (including, if application, index duplication in many-to-many joins) 76 Chapter 1. What’s New dtype: float64 If you wish to do indexing with sequences and slicing on an integer index with label semantics, use ix. 1.14.5 Other API Changes • The deprecated LongPanel class has been completely removed Out[38]: -0.17321464905330858 There is one signficant departure from standard python/numpy slicing semantics. python/numpy allow slicing past the end of an array without an associated error. # these are allowed

55651844]]) DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics and data model are quite different in places from an n-dimensional array. Series implements __array_ufunc__ representation for missing data - which is the special float value NaN (not a number). Many of the semantics are the same, for example missing data propagates through numeric operations, and is ignored by has a representation for missing data – the special float value NaN (not a number). Many of the semantics are the same; for example missing data propagates through numeric operations, and is ignored by

can now work with non-unique indexes. Data alignment / join operations work according to SQL join semantics (including, if application, index duplication in many-to-many joins) 1.8.2 NumPy datetime64 dtype dtype: float64 If you wish to do indexing with sequences and slicing on an integer index with label semantics, use ix. 1.12.5 Other API Changes • The deprecated LongPanel class has been completely removed iat[1,1] -0.17321464905330858 There is one signficant departure from standard python/numpy slicing semantics. python/numpy allow slicing past the end of an array without an associated error. # these are allowed

can now work with non-unique indexes. Data alignment / join operations work according to SQL join semantics (including, if application, index duplication in many-to-many joins) 1.10. v0.8.1 (July 22, 2012) dtype: float64 If you wish to do indexing with sequences and slicing on an integer index with label semantics, use ix. 1.15.5 Other API Changes • The deprecated LongPanel class has been completely removed Out[93]: 255 DataFrame is not intended to be a drop-in replacement for ndarray as its indexing semantics are quite different in places from a matrix. 8.2.13 Console display Very large DataFrames will

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 750 20.7.9 Anchored Offset Semantics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 751 20.7.10 Holidays / Holiday offset was inconsistent depending on the date when the n parameter was 0. (GH11406) The general semantics of anchored offsets for n=0 is to not move the date when it is an anchor point (e.g., a quarter can now work with non-unique indexes. Data alignment / join operations work according to SQL join semantics (including, if application, index duplication in many-to-many joins) NumPy datetime64 dtype and

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 752 20.7.9 Anchored Offset Semantics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 753 20.7.10 Holidays / Holiday offset was inconsistent depending on the date when the n parameter was 0. (GH11406) The general semantics of anchored offsets for n=0 is to not move the date when it is an anchor point (e.g., a quarter can now work with non-unique indexes. Data alignment / join operations work according to SQL join semantics (including, if application, index duplication in many-to-many joins) NumPy datetime64 dtype and