temporarily need a considerable amount of extra disk space, before the differencing image obsoleted by the merge operation is deleted. • Immutable images. When an image is switched to immutable mode, a differencing direct loopback mounting of virtual disk images, because it is snapshot aware. It can selectively merge disk differencing images in an exposed virtual hard disk, providing historical or up-to-date representations the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom

from previous page) 1 b 2 c 3 aaba 4 baca 5 NaN 6 caba 7 dog 8 cat dtype: object 3.2.6 Merge Concat pandas provides various facilities for easily combining together Series and DataFrame objects various kinds of set logic for the indexes and relational algebra functionality in the case of join / merge-type operations. See the Merging section. Concatenating pandas objects together with concat(): Out[79]: key lval 0 foo 1 1 foo 2 In [80]: right Out[80]: key rval 0 foo 4 1 foo 5 In [81]: pd.merge(left, right, on='key') Out[81]: key lval rval 0 foo 1 4 1 foo 1 5 2 foo 2 4 3 foo 2 5 Another example

features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 11 Merge, join, and concatenate 129 11.1 Concatenating objects . . . . . . . . . . . . . . . . . . . . . axis=1 to obtain a DataFrame (#787) 1.2 v.0.7.0 (February 9, 2012) 1.2.1 New features • New unified merge function for efficiently performing full gamut of database / relational-algebra operations. Refactored was an implementation headache). 128 Chapter 10. Group By: split-apply-combine CHAPTER ELEVEN MERGE, JOIN, AND CONCATENATE pandas provides various facilities for easily combining together Series, DataFrame

features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 11 Merge, join, and concatenate 129 11.1 Concatenating objects . . . . . . . . . . . . . . . . . . . . . to obtain a DataFrame (GH787) 1.3 v.0.7.0 (February 9, 2012) 1.3.1 New features • New unified merge function for efficiently performing full gamut of database / relational-algebra operations. Refactored was an implementation headache). 128 Chapter 10. Group By: split-apply-combine CHAPTER ELEVEN MERGE, JOIN, AND CONCATENATE pandas provides various facilities for easily combining together Series, DataFrame

features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135 11 Merge, join, and concatenate 137 11.1 Concatenating objects . . . . . . . . . . . . . . . . . . . . . analysis toolkit, Release 0.7.3 1.4 v.0.7.0 (February 9, 2012) 1.4.1 New features • New unified merge function for efficiently performing full gamut of database / relational-algebra operations. Refactored was an implementation headache). 136 Chapter 10. Group By: split-apply-combine CHAPTER ELEVEN MERGE, JOIN, AND CONCATENATE pandas provides various facilities for easily combining together Series, DataFrame

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 2.1.6 Merge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 2 Miscellaneous indexing FAQ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501 2.7 Merge, join, concatenate and compare . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1006 2.27.7 Merge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1006

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159 2.1.6 Merge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 2 Miscellaneous indexing FAQ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501 2.7 Merge, join, concatenate and compare . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1005 2.27.7 Merge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1005

• Bug in Categorical.astype() not allowing for casting to extension dtypes (GH28668) • Bug where merge() was unable to join on categorical and extension dtype columns (GH28668) • Categorical.searchsorted() when margins=True and aggfunc='mean' (GH24893) • Bug merge_asof() could not use datetime.timedelta for tolerance kwarg (GH28098) • Bug in merge(), did not append suffixes correctly with MultiIndex (GH28518) qcut() and cut() now handle boolean input (GH20303) • Fix to ensure all int dtypes can be used in merge_asof() when using a tolerance value. Previously every non-int64 type would raise an erroneous MergeError

config.openshift.io 子定义资源中的 $ oc patch configs.imageregistry.operator.openshift.io/cluster --type merge -p '{"spec": {"defaultRoute":true}}' 第 第 2 章 章 OPENSHIFT CONTAINER PLATFORM中的 中的IMAGE REGISTRY OPERATOR region: # ...  $ oc patch configs.imageregistry.operator.openshift.io cluster --type merge --patch '{"spec": {"disableRedirect":true}}' 第 第 3 章 章 设 设置和配置 置和配置 REGISTRY 15 3.3.2. 为 Image custom-csi-storageclass 11m $ oc patch configs.imageregistry.operator.openshift.io cluster --type merge --patch '{"spec": {"managementState":"Managed"}}' 第 第 3 章 章 设 设置和配置 置和配置 REGISTRY 21 重要 重要 当您只有一个副本时，OpenShift

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154 2.1.6 Merge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157 2 Miscellaneous indexing FAQ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478 2.7 Merge, join, concatenate and compare . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 963 2.27.7 Merge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 964 2