tab-completion, Pandas does not include most deprecated attributes when introspect- ing a pandas object using dir (e.g. dir(df)). To see which attributes are excluded, see an object’s _deprecations attribute to_parquet() argu- ment “fname” is deprecated, use “path” instead (GH23574) • The deprecated internal attributes _start, _stop and _step of RangeIndex now raise a FutureWarning instead of a DeprecationWarning using IPython, tab completion for column names (as well as public attributes) is automatically enabled. Here’s a subset of the attributes that will be completed: In [12]: df2. # noqa: E225, E999 df2

with a DataFrame whose values are sparse (GH25681) • RangeIndex has gained start, stop, and step attributes (GH25710) • datetime.timezone objects are now supported as arguments to timezone methods and constructors analysis toolkit, Release 0.25.0 • The internal attributes _start, _stop and _step attributes of RangeIndex have been deprecated. Use the public attributes start, stop and step instead (GH26581). • The using IPython, tab completion for column names (as well as public attributes) is automatically enabled. Here’s a subset of the attributes that will be completed: In [12]: df2. # noqa: E225, E999 df2

with a DataFrame whose values are sparse (GH25681) • RangeIndex has gained start, stop, and step attributes (GH25710) • datetime.timezone objects are now supported as arguments to timezone methods and constructors analysis toolkit, Release 0.25.1 • The internal attributes _start, _stop and _step attributes of RangeIndex have been deprecated. Use the public attributes start, stop and step instead (GH26581). • The using IPython, tab completion for column names (as well as public attributes) is automatically enabled. Here’s a subset of the attributes that will be completed: In [12]: df2. # noqa: E225, E999 df2

conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 785 2.15.5 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 788 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 987 3.3.2 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1210 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1359 3.4.2 Attributes and underlying data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1677 3.4

conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 788 2.15.5 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 991 3.3.2 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1214 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1362 3.4.2 Attributes and underlying data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1680 3.4

conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 786 3.15.5 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 789 3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 989 4.3.2 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1212 4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1360 4.4.2 Attributes and underlying data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1678 4.4

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192 2.3.2 Attributes and underlying data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192 2.3 conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 873 2.21.5 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 875 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1108 3.3.2 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1358 vi

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198 2.3.2 Attributes and underlying data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 2.3 conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 909 2.21.5 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 911 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1153 3.3.2 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1411 vi

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198 2.3.2 Attributes and underlying data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 2.3 conversion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 910 2.21.5 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 912 2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1153 3.3.2 Attributes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1411 vi

DataFrame.values, but we highly recommend and using .array or .to_numpy() instead. See Dtypes and Attributes and Underlying Data for more. 1.1.3 pandas.array: a new top-level method for creating arrays (January 25, 2019) pandas: powerful Python data analysis toolkit, Release 0.24.0 See Dtypes and Attributes and Underlying Data for more. 1.1.5 Joining with two multi-indexes DataFrame.merge() and DataFrame x 4 columns] 1.1.6 read_html Enhancements read_html() previously ignored colspan and rowspan attributes. Now it understands them, treating them as sequences of cells with the same value. (GH17054) 1