raised where arithmetic would broadcast ... ValueError: Invalid broadcasting comparison [(1, 2)] with block values In [8]: df + (1, 2) Out[8]: 0 1 0 1 3 1 3 5 2 5 7 In [9]: df == (1, 2, 3) ...: # length dtype, rather than coercing to object (GH22784) • DateOffset attribute _cacheable and method _should_cache have been removed (GH23118) • Series.searchsorted(), when supplied a scalar value to search for, ignored when passing a DataFrame or dict of unit mappings (GH23760) • Bug in Series.dt where the cache would not update properly after an in-place operation (GH24408) • Bug in PeriodIndex where comparisons

when checking for SettingWithCopyWarning (GH27031) • For to_datetime() changed default value of cache parameter to True (GH26043) • Improved performance of DatetimeIndex and PeriodIndex slicing given raise InvalidIndexError: Reindexing only valid with uniquely valued Index objects when called with cache=True, with arg including at least two different elements from the set {None, numpy.nan, pandas.NaT} ValueError: Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True when called with cache=True, with arg including datetime strings with different offset (GH26097) • 1.6.3 Timedelta • Bug

when checking for SettingWithCopyWarning (GH27031) • For to_datetime() changed default value of cache parameter to True (GH26043) • Improved performance of DatetimeIndex and PeriodIndex slicing given raise InvalidIndexError: Reindexing only valid with uniquely valued Index objects when called with cache=True, with arg including at least two different elements from the set {None, numpy.nan, pandas.NaT} ValueError: Tz-aware datetime.datetime cannot be converted to datetime64 unless utc=True when called with cache=True, with arg including datetime strings with different offset (GH26097) • 1.6.3 Timedelta • Bug

Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2678 4.13.5 Block manager rewrite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2678 4 “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of can also disable this feature via the expand_frame_repr option. This will print the table in one block. DataFrame column attribute access and IPython completion If a DataFrame column label is a valid

Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2757 4.13.5 Block manager rewrite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2758 4 “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of can also disable this feature via the expand_frame_repr option. This will print the table in one block. 2.2. Intro to data structures 197 pandas: powerful Python data analysis toolkit, Release 1.3.3

Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2757 4.13.5 Block manager rewrite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2758 4 “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of can also disable this feature via the expand_frame_repr option. This will print the table in one block. 2.2. Intro to data structures 197 pandas: powerful Python data analysis toolkit, Release 1.3.4

“relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of group_info where returned values are not compatible with base class (GH10914) • Bug in clearing the cache on DataFrame.pop and a subsequent inplace op (GH10912) • Bug in indexing with a mixed-integer Index datetime is fractional (GH10209) • Bug in DataFrame.to_json with mixed data types (GH10289) • Bug in cache updating when consolidating (GH10264) • Bug in mean() where integer dtypes can overflow (GH10172)

Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2852 4.13.5 Block manager rewrite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2853 4 “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of can also disable this feature via the expand_frame_repr option. This will print the table in one block. 2.2. Intro to data structures 197 pandas: powerful Python data analysis toolkit, Release 1.4.4

Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2850 4.13.5 Block manager rewrite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2851 4 “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of can also disable this feature via the expand_frame_repr option. This will print the table in one block. 2.2. Intro to data structures 197 pandas: powerful Python data analysis toolkit, Release 1.4.2

Arrow interoperability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3020 4.11.5 Block manager rewrite . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3021 4 “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python. Additionally, it has the broader goal of import pandas as pd In [2]: pd.DataFrame({'A': [1, 2, 3]}) Out[2]: A 0 1 1 2 2 3 The first block is a standard python input, while in the second the In [1]: indicates the input is inside a notebook