第一个命令按预期工作,但不是第二个命令.我想在开头或结尾添加一些文本.
# grep `date +'%y%m%d'` /var/log/mysqld.log
100101 10:56:00 mysqld started
100101 10:56:02 InnoDB: Started; log sequence number 1 2052750649
# sed 's/^/computer /g' < grep `date +'%y%m%d'` /var/log/mysqld.log
bash: grep: No such file or directory
# expected output
computer 100101 10:56:00 mysqld started
computer 100101 10:56:02 InnoDB: Started; log sequence number 1 2052750649
我有几个这样的锚链接,如下所示.
<a href="http://google.com" onClick="unhook()"> Google </a>
我想onClick动态地将事件应用于所有锚标签.可能吗？
我将表单元素保存到文件,以下是按预期工作.
$t_str .= "viewMandatory=".$_GET['viewMandatory'] ."\n";
但我需要的是,如果只设置$ _GET,那么它应该附加到"t_str"字符串.
如果没有从表单收到viewMandatory的值,则它应该不打印任何内容.如何将此检查添加到上述语句中？
我需要从表"ticket"中选择所有列,除了一列"depname"以下预准备语句不能按预期工作.
PREPARE stmt1 FROM 'SELECT ? from magon.ticket limit 2';
select GROUP_CONCAT(COLUMN_NAME) into @clm from COLUMNS where TABLE_SCHEMA = 'magon' and TABLE_NAME = 'ticket' and COLUMN_NAME NOT IN ('depname') GROUP BY TABLE_SCHEMA, TABLE_NAME;
execute stmt1 using @clm;
它返回列列表两次(由于限制2),但不返回实际数据.
我正在尝试导入并使用此处找到的名为"wikipedia"的模块...
https://github.com/goldsmith/Wikipedia
我可以使用dir函数检查所有属性.
>>> dir(wikipedia)
['BeautifulSoup', 'DisambiguationError', 'PageError', 'RedirectError', 'WikipediaPage', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '__path__', 'cache', 'donate', 'exceptions', 'page', 'random', 'requests', 'search', 'suggest', 'summary', 'util', 'wikipedia']
但是wikipedia.page不会返回它的所有子属性(!？)
>>> dir(wikipedia.page)
['__call__', '__class__', '__closure__', '__code__', '__defaults__', '__delattr__', '__dict__', '__doc__', '__format__', '__get__', '__getattribute__', '__globals__', '__hash__', '__init__', '__module__', '__name__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'func_closure', 'func_code', 'func_defaults', 'func_dict', 'func_doc', 'func_globals', 'func_name']
我希望在这个列表中看到标题,内容等属性.我如何知道"页面"中隐藏的属性是什么？
尝试使用 keras 训练模型时出现此错误。
InvalidArgumentError: 索引 [48,2] = 5388 不在 [0, 5388)
[[节点: embedding_1/embedding_lookup = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@training/RMSprop /Assign_1"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](embedding_1/embeddings/read, embedding_1/Cast, training/RMSprop/gradients/embedding_1/embedding_lookup_grad/concat /轴）]]
实际线路是这样的...
model.fit_generator(generator = generate_batch(X_train, y_train, batch_size = batch_size),
steps_per_epoch = train_samples//batch_size,
epochs=epochs,
validation_data = generate_batch(X_test, y_test, batch_size = batch_size),
validation_steps = val_samples//batch_size)
纪元 1/50 73/237 [========>.........] - 预计到达时间：32:10 - 损失：7.4517 -加速度：0.1711
整个代码在这里......
https://github.com/shantanuo/pandas_examples/blob/master/deep_learn/WordLevelEngMarNMT.ipynb
我有一个看起来像这样的字符串......
mystring = '{#var#}status has been updated{#var#}with remark{#var#}connect with{#var#}at{#var#}transactions may be{#var#}till{#var#}'
我只需要给它编号，让它看起来像这样......
{#var1#}status has been updated{#var2#}with remark{#var3#}connect with{#var4#}at{#var5#}transactions may be{#var6#}till{#var7#}
这将用数字 1 替换字符串
mystring.replace("{#var#}", "{#var1#}")
不知道如何枚举数字 2,3,4 到 7
我正在尝试提取元音符号连续使用两次（或两次以上）的单词。
texts = ['ane', 'mood', 'xao', 'pqr', 'aa']
signs = ['a', 'e', 'i', 'o', 'u']
for i in texts:
for x in i:
if x in signs:
print ("double vowel sign exists in", i)
这将打印：
double vowel sign exists in ane
double vowel sign exists in ane
double vowel sign exists in mood
double vowel sign exists in mood
double vowel sign exists in xao
double vowel sign exists in xao
double vowel sign exists in aa
double vowel sign …如何查找列表列表的唯一项？
在以下示例中,我只期望2个项目.
mylist=[[' Dish Towel .\n', '1.000', '149.000'],
[' Dish Towel .\n', '1.000', '149.000'],
[' Kitchentowel(mix designs) .\n', '1.000', '99.000'],
[' Kitchentowel(mix designs) .\n', '1.000', '99.000']]
预期结果:
newlist=[[' Dish Towel .\n', '1.000', '149.000'],
[' Kitchentowel(mix designs) .\n', '1.000', '99.000']]
我尝试了这个,但我得到了TypeError.
output = set()
for x in mylist:
output.add(x)
print output
当我尝试将列表转换为pandas数据帧时,我将整行作为单个单元格.
pdlist=['From: 2012-11-07 19:16:07, To: 2012-11-07 19:21:07, Downtime: 0h 05m 00s',
'From: 2012-11-13 06:16:07, To: 2012-11-13 06:21:07, Downtime: 0h 05m 00s',
'From: 201=4-10-19 18:10:57, To: 2014-10-19 18:25:57, Downtime: 0h 15m ']
import pandas as pd
pd.DataFrame(pdlist)
预期输出为3列,前2个为日期时间.