/var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:2: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['cluster_label'] = db.labels_ /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:8: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['hour'] = device_df['timestamp'].map(lambda x: time.localtime(x).tm_hour) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:9: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_night'] = device_df['hour'].map(lambda x: 1 if x >= 22 or x < 6 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:10: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_daytime'] = device_df['hour'].map(lambda x: 1 if x >= 10 or x < 17 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_weekend'] = device_df['timestamp'].map(lambda x: 1 if datetime.datetime.utcfromtimestamp(x).weekday() >= 5 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:18: UserWarning: Boolean Series key will be reindexed to match DataFrame index. night_cnt = device_cluster_df[device_df['is_night'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:19: UserWarning: Boolean Series key will be reindexed to match DataFrame index. daytime_cnt = device_cluster_df[device_df['is_daytime'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:20: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekend_cnt = device_cluster_df[device_df['is_weekend'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_41405/1920266051.py:21: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekday_cnt = device_cluster_df[device_df['is_weekend'] == 0]['event_day'].drop_duplicates().count() 解释一下这段信息为什么出现
时间: 2024-02-05 22:03:00 浏览: 24
这段信息是由于对DataFrame的切片操作时出现了SettingWithCopyWarning警告。这个警告的出现是因为在对DataFrame进行切片操作时,可能会返回一个视图(view)或者副本(copy),而不是原始的DataFrame对象。当我们试图在视图或副本上进行赋值操作时,就会触发这个警告。
在这段代码中,对device_df进行了一系列的切片操作,例如`device_df['cluster_label'] = db.labels_`、`device_df['hour'] = device_df['timestamp'].map(lambda x: time.localtime(x).tm_hour)`等等。这些操作可能会返回一个视图或副本。
为了避免这个警告,可以尝试使用`.loc[row_indexer, col_indexer]`来进行赋值操作,而不是直接对切片进行赋值。例如,可以使用`device_df.loc[:, 'cluster_label'] = db.labels_`来替代`device_df['cluster_label'] = db.labels_`。
另外,还可以通过使用`.copy()`方法来明确地创建一个副本,从而避免出现警告。例如,可以使用`device_df = device_df.copy()`来创建一个副本,并在副本上进行赋值操作。
需要注意的是,这个警告并不一定意味着代码存在错误,但建议在遇到警告时检查代码逻辑,并确保赋值操作的正确性和预期效果。
相关问题
/var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:2: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['cluster_label'] = db.labels_ /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:8: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['hour'] = device_df['timestamp'].map(lambda x: time.localtime(x).tm_hour) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:9: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_night'] = device_df['hour'].map(lambda x: 1 if x >= 22 or x < 6 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:10: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_daytime'] = device_df['hour'].map(lambda x: 1 if x >= 10 or x < 17 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy device_df['is_weekend'] = device_df['timestamp'].map(lambda x: 1 if datetime.datetime.utcfromtimestamp(x).weekday() >= 5 else 0) /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:18: UserWarning: Boolean Series key will be reindexed to match DataFrame index. night_cnt = device_cluster_df[device_df['is_night'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:19: UserWarning: Boolean Series key will be reindexed to match DataFrame index. daytime_cnt = device_cluster_df[device_df['is_daytime'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:20: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekend_cnt = device_cluster_df[device_df['is_weekend'] == 1]['event_day'].drop_duplicates().count() /var/folders/gk/ryl0f4y10m9ccnhw_1vlpjzh0000gn/T/ipykernel_35021/1920266051.py:21: UserWarning: Boolean Series key will be reindexed to match DataFrame index. weekday_cnt = device_cluster_df[device_df['is_weekend'] == 0]['event_day'].drop_duplicates().count()jupyter notebook出现这段报错的原因
这段报错是由于在对 DataFrame 进行操作时,使用了不安全的方法。具体来说,这段报错是由于对 DataFrame 进行切片操作时,尝试在切片的副本上进行赋值操作,而不是在原始的 DataFrame 上进行赋值操作。为了避免这个警告和潜在的错误,建议使用`.loc`方法来进行赋值操作,例如使用`device_df.loc[row_indexer, col_indexer] = value`。这样可以确保在原始 DataFrame 上进行操作,而不是在切片的副本上进行操作。你可以参考报错信息中提供的链接,了解更多关于如何正确使用 DataFrame 的索引和赋值操作的信息。
java.lang.UnsatisfiedLinkError: Can't load library: /var/folders/bh/
### 回答1:
抱歉,我可以回答这个问题。这个错误通常是由于Java虚拟机无法加载本地库而引起的。有几个可能的原因,包括库文件不存在、权限不足、文件格式不正确等等。解决此问题的方法可能包括重新安装库文件、更改文件权限、更新Java版本等等。您可以查看Java虚拟机的日志以获取更多信息,以帮助确定问题的根本原因。
### 回答2:
java.lang.UnsatisfiedLinkError: Can't load library: /var/folders/bh/是一个Java编程中可能遇到的一个错误。该错误通常表示无法加载指定的本地库文件。
这个错误通常出现在Java程序中调用了使用本地库的方法,但是该本地库文件无法被找到或加载。可能的原因包括:
1. 本地库文件路径错误:/var/folders/bh/是一个示例路径,可能是因为你的程序指定的路径有误导致找不到本地库文件。检查相关代码,确保正确指定了本地库的路径。
2. 缺少本地库文件:如果确保路径正确,那么可能是由于缺少所需的本地库文件。请确保你的本地库文件已经正确地构建并已包含在可执行文件或Java类路径中。
3. 不兼容的本地库文件:另一种可能是,你的程序使用的本地库文件与当前操作系统或JVM不兼容。请确保本地库文件是为你正在使用的操作系统和JVM版本编译的。
要解决这个问题,你可以尝试以下步骤:
1. 检查代码中的路径,确保正确指定了本地库文件的路径。
2. 确保本地库文件正确地构建并包含在正确的位置,例如在可执行文件目录或Java类路径中。
3. 如果适用,根据你的操作系统和JVM版本,查找并使用与之兼容的本地库文件。
4. 如果问题仍然存在,可以尝试重新编译和构建本地库文件,并确保与你的程序一起使用。
总的来说,java.lang.UnsatisfiedLinkError: Can't load library: /var/folders/bh/错误表示无法加载指定的本地库文件,解决这个问题通常涉及检查路径、确定本地库文件是否存在和兼容性。
### 回答3:
java.lang.UnsatisfiedLinkError: 无法加载库:/var/folders/bh/
java.lang.UnsatisfiedLinkError是Java运行时异常的一种,它表示Java虚拟机(JVM)在加载本地库时发生了问题。这种错误通常与使用本地方法接口(Native Method Interface)相关。
在这个特定的错误消息中,"/var/folders/bh/"指的是本地库的路径。出现这个错误通常有以下原因:
1. 本地库文件不存在或无法访问:这可能是由于路径错误、文件权限问题或者文件被删除引起的。可以检查路径是否正确,确保文件存在并且可以被读取。
2. 本地库文件与JVM不兼容:本地库文件可能是使用与当前JVM不兼容的编译器或链接器编译的。这可能是因为Java运行时库和本地库之间的版本差异或Linux发行版之间的差异。为了解决这个问题,可以尝试重新编译本地库文件,确保使用与JVM匹配的工具链。
3. 本地库文件依赖其他库文件:如果本地库文件依赖其他库文件,而这些依赖文件不存在或无法访问,就会发生UnsatisfiedLinkError。可以使用ldd命令(在Linux上)或otool命令(在macOS上)来查看本地库文件的依赖关系,然后确保所有依赖的库文件都可用。
4. 本地库文件位于非标准位置:如果本地库位于非标准位置,可能需要配置JVM的java.library.path系统属性来指定库文件的路径。可以使用-Djava.library.path选项来运行Java程序来设置该属性。
总之,java.lang.UnsatisfiedLinkError: 无法加载库:/var/folders/bh/ 错误表示JVM无法加载指定路径下的本地库文件。要解决这个错误,可以检查路径是否正确、确保文件存在并且可以被读取,或者尝试重新编译本地库文件以匹配当前JVM的版本。