我看了看,但找不到发生了什么.我遇到了Heroku和特别是工具带的问题.所以我想尝试更新它并尝试做
$ heroku更新
我明白了
Error: undefined method `error' for Heroku::Updater:Module (NoMethodError)
有谁看过这个,你有什么想法吗？谢谢!
试图追踪一些棘手的互动.也许你可以看到我错过的东西.感谢您花点时间看看这个!这是场景:
当我的application.css看起来像这样:
*= require_self
*= require twitter/bootstrap
*= require_tree .
刷新主页给出了这个错误:
Undefined variable: "$baseLineHeight".
(in /Volumes/MonsterHD/mydev/repsurv/app/assets/stylesheets/twitter/_accordion.scss)
当我的application.css看起来像这样:
*= require_self
*= require twitter/bootstrap
然后我没有错误,但我的custom.css.scss没有应用.
我的custom.css.sccs看起来像这样:
@import "twitter/bootstrap";
/* universal */
html {
overflow-y: scroll;
}
body {
padding-top: 60px;
}
section {
overflow: auto;
}
textarea {
resize: vertical;
}
.center {
text-align: center;
}
.center h1 {
margin-bottom: 10px;
}
#logo {
float: left;
margin-right: 10px;
font-size: 1.7em;
color: #fff;
text-transform: uppercase;
letter-spacing: -1px;
padding-top: 9px;
font-weight: …我不知道为什么标题名称得到"X".使用quote =""导入时的前缀.这是代码:
xhead = read.csv("~/Desktop/dbdump/users.txt", na.strings = "\\N", quote="", nrows = 1000)
这给了我:
names(xhead)
[1] "X.userId." "X.fullName." "X.email." "X.password."
[5] "X.activated." "X.registrationDate." "X.locale." ...
鉴于:
yhead = read.csv("~/Desktop/dbdump/users.txt", na.strings = "\\N", nrows = 1000)
names(yhead)
[1] "userId" "fullName" "email" "password"
[5] "activated" "registrationDate" "locale" ...
我之所以引用=""的原因是我的记录被截断,大概是因为埋在我的15000条记录中有一个流浪的引用.
这是我的数据文件的样子:
"userId", "fullName","email","password","activated","registrationDate","locale","notifyOnUpdates","lastSyncTime","plan_id","plan_period_months","plan_price","plan_exp_date","plan_is_trial","plan_is_trial_used","q_hear","q_occupation","pp_subid","pp_payments","pp_since","pp_cancelled","apikey"
"2","Adam Smith","a@mail.com","*****","1","2004-07-23 14:19:32","en_US","1","2011-04-07 07:29:17","3",\N,\N,\N,"0","1",\N,\N,\N,\N,\N,\N,"d7734dce-4ae2-102a-8951-0040ca38ff83"
x = pd.DataFrame({'x':[np.nan, 22, 11, np.nan, np.nan],
'letters':['a', 'a', 'b', 'b', 'b'],
'Nan1': [np.nan, np.nan, np.nan, np.nan, np.nan],
'bools': [True, True, False, True, False],
'Nan2': [np.nan, np.nan, np.nan, np.nan, np.nan],
'y': [100,200,11,333, 70]})
我想学习从这个拥有所有NaN的DataFrame中删除所有列的最佳方法.在这种情况下,它将删除列Nan1和Nan2.
我觉得有一个很好的方法来做到这一点!
pd.DataFrame({'email':["a@gmail.com", "b@gmail.com", "c@gmail.com", "d@gmail.com", "e@gmail.com",],
'one':[88, 99, 11, 44, 33],
'two': [80, 80, 85, 80, 70],
'three': [50, 60, 70, 80, 20]})
给定这个DataFrame,我想为每列计算一个,两个和三个,在一定范围内有多少个值.
范围例如是:0-70,71-80,81-90,91-100
结果将是:
out = pd.DataFrame({'colname': ["one", "two", "three"],
'b0to70': [3, 1, 4],
'b71to80': [0, 3, 1],
'b81to90': [1, 1, 0],
'b91to100': [1, 0, 0]})
什么是一个很好的惯用方法呢？
sns.boxplot(data=df, width=0.5)
plt.title(f'Distribution of scores for initial and resubmission\
\nonly among students who resubmitted at all.\
\n(n = {df.shape[0]})')
我想使用更大的字体，并在顶部的白边留出更多的空间，这样标题就不会被塞进去。令人惊讶的是，尽管进行了一些认真的谷歌搜索，但我完全无法找到该选项！
这是我的水晶代码，在片段中，但我认为它就在那里：
# spec_helper.rb
def fixtures
rawhash = JSON.parse(File.read("spec/fixtures/state3.json"))
rules = rawhash["rules"]
id = rules.as_h.keys[0]
hash = rules[id]
return id, hash
end
# rule_spec.rb
key, hash = fixtures
rule = Rule.new(key, hash)
rule.array(["name"])[0].must_equal "RpsIphone"
# rule.rb
class Rule < HueResource
getter :detail, :on, :name, :lights
def initialize(key, hashvalue)
super(key, hashvalue)
@detail = "#{hashvalue["conditions"].length} conds => #{hashvalue["actions"].length} acts"
@state.merge! ({"on" => hash_value["status"], "name" => @name, "detail" => @detail})
gen_reskey("r")
end
...
end
# hue resource.rb
class HueResource
def initialize(key, hash_value)
@hash_value = …我正在学习它,将Ruby程序转换为Crystal.
这是我收到的错误消息:
# Error
Failures:
1) Test Rule class can return the name property
Failure/Error: rule.name.should be "RpsIphone"
Expected: "RpsIphone" (object_id: 4504126256)
got: "RpsIphone" (object_id: 4524981536)
# spec/rule_spec.cr:11
这是导致它的代码
# from spec
rule.name.should be "RpsIphone"
我还检查了两个字符串与.same相比？也说他们不一样.我一遍又一遍地看着那9个字.我错过了什么？
过去，routes.rb 有一个根路由行。但是我再也看不到它了，即使当我运行服务器时我看到“耶！你在 Rails 上！” 页。我找不到它的定义位置，所以我可以覆盖它！