Top15 | 使用 Top15 在你的网站中展示最近看过/读过/听过的电影/书/音乐!
kandi X-RAY | Top15 Summary
kandi X-RAY | Top15 Summary
[EOL] 使用 Top15 在你的网站中展示最近看过/读过/听过的电影/书/音乐!
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Top functions reviewed by kandi - BETA
- Grab a user .
- Create the application .
- Grab feedback .
- Initialize the logger .
- Wrapper for fetch_routine .
- Render an error .
- Log a message .
- Render the error page .
- Return True if record is below level .
Top15 Key Features
Top15 Examples and Code Snippets
Community Discussions
Trending Discussions on Top15
QUESTION
Ok so im not intierly fluent in discord.py but heres the code im trying to use:
...ANSWER
Answered 2021-Nov-26 at 19:22You can use wait_for() function. I have written a function below which allows you get some data from user.
QUESTION
I'm working on an assignment of Applied Data Science.
Question: Cut % Renewable into 5 bins. Group Top15 by the Continent, as well as these new % Renewable bins. How many countries are in each of these groups? This function should return a Series with a MultiIndex of Continent, then the bins for % Renewable. Do not include groups with no countries.
This is my code:
...ANSWER
Answered 2020-Sep-09 at 18:41lambda x:s if x['Rank']==0 continue
QUESTION
I have 2 dataframes that I have successfully merged together which results in a single desired row of data.
Then I successfully determined the whole value difference between two integer columns.
Now all I want to do is output the integer value result, with no other metadata.
IN:
def answer_four():
...ANSWER
Answered 2020-Sep-03 at 03:08Top15_6th_ab['Value_10yr_Change'][0]
QUESTION
In:
...ANSWER
Answered 2020-Sep-03 at 00:43A Series name is always shown under the Series. A DataFrame column name is shown above the column. You can convert the Series into a one-column DataFrame:
QUESTION
I have a df with 10 columns with GDP between 2006 and 2015 of 15 different countries. I am trying to get the mean GDP from the last ten years. For example, Germany's average GDP from 2006 to 2015. This is the code I tried to use:
...ANSWER
Answered 2020-Jun-15 at 19:31Can you just filter the null values and then run a mean method?
QUESTION
I tried to find corr between citable documents per person
and Energy Supply per Capita
, (Pearson's correlation)
so I create a table
Top15
, whose columns =Index(['Rank', 'Documents', 'Citable documents', 'Citations', 'Self-citations', 'Citations per document', 'H index', 'Energy Supply', 'Energy Supply per Capita', '% Renewable', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', 'popu', 'citable documents per person'], dtype='object')
but when I write Top15.corr()
, results only show correlation among
ANSWER
Answered 2020-Jun-10 at 21:01corr only considers numeric columns. Are you sure your columns are all numeric? – BallpointBen
_ means ignore it, e.g. for k, v in dict.items() will create an iter for key and value, if you dont caare about the value you usse for k,_ in dict.items() and the _ will be ignored – E.Serra
I think this is a question from Coursera's assignment and I have done this sometimes ago, here some of the columns are of type object , you have to convert them to numeric using something like pandas to_numeric . – Snehil
QUESTION
I have a dataframe named Top15 like this:
Country % Renewable Energy Rank
Brazil 69.65 15
Canada 61.95 56
China 19.75 32
Germany 17.90 2
Spain 37.97 11
France 17.02 12
United Kingdom 10.60 5
India 14.97 10
Iran 5.71 21
...... ...... .....
United States 11.57 38
Here i want to find the Country with greatest %Renewable Energy.
Here country is the index of dataframe and hence i want the name of index only in string format.
But when i use the following code:
maximum=Top15['% Renewable'].max()
Top15[Top15['% Renewable']==maximum].index (Method 1)
I get :Index(['Brazil'], dtype='object', name='Country')
But when i use: Top15[Top15['% Renewable']==maximum].index[0] (Method 2)
I get:'Brazil'
...ANSWER
Answered 2020-Jun-03 at 20:39When you are calling .index
it returns you the index object, the only element of which, 'Brazil'
, is accessible via indexing the index object at position 0, so .index[0]
.
When you are calling .index[1]
you are trying to access the second element of the index object while it only contains one element, hence the error.
QUESTION
There is a column called country's '% Renewable'. I want to create a column consisting of 1 if the value in the column is above the median value of the column and 0 if it is below the median value. Here is my code
...ANSWER
Answered 2020-May-20 at 13:56IIUC use,
QUESTION
I have the following pandas series:
...ANSWER
Answered 2020-May-15 at 21:52Let's assume the following data:
QUESTION
I am using NASA Tensegrity Robot Toolkit simulator, which uses YAML to build the structure. i have validated my structure from https://codebeautify.org/yaml-validator.
It keeps throwing the error of bad conversion on my file while works fine on a pre-installed yaml structure.
This is the terminal window:
tensegribuntu@TensegritBuntu-VM:~/NTRTsim$ build/yamlbuilder/BuildModel resources/YamlStructures/BaseStructures/SuperBall.yaml
Box Ground
setup graphics
tensegribuntu@TensegritBuntu-VM:~/NTRTsim$ build/yamlbuilder/BuildModel resources/YamlStructures/ZenStructures/30bar.yaml
Box Ground
setup graphics
terminate called after throwing an instance of 'YAML::TypedBadConversion'
what(): yaml-cpp: error at line 0, column 0: bad conversion
Aborted (core dumped)
tensegribuntu@TensegritBuntu-VM:~/NTRTsim$
Any ideas?
code:
...ANSWER
Answered 2020-May-02 at 18:5404.06
is not a number in YAML, see the spec:
-? ( 0 | [1-9] [0-9]* ) tag:yaml.org,2002:int
-? ( 0 | [1-9] [0-9]* ) ( . [0-9]* )? ( [eE] [-+]? [0-9]+ )? tag:yaml.org,2002:float
Change it to 4.06
.
The validator cannot help you here since 04.06
is generally a valid scalar; it can be loaded as string. A general YAML validator will always only validate your syntax. It cannot validate whether your structure and types are appropriate for whatever application you use the YAML with.
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Install Top15
You can use Top15 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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