spore | Complex organic , generative art with p5js | Animation library
kandi X-RAY | spore Summary
kandi X-RAY | spore Summary
Beautiful things to look at.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of spore
spore Key Features
spore Examples and Code Snippets
Community Discussions
Trending Discussions on spore
QUESTION
I am trying to create a table (150 rows, 165 columns) in which :
- Each row is the name of a Pokemon (original Pokemon, 150)
- Each column is the name of an "attack" that any of these Pokemon can learn (first generation)
- Each element is either "1" or "0", indicating if that Pokemon can learn that "attack" (e.g. 1 = yes, 0 = no)
I was able to manually create this table in R:
Here are all the names:
...ANSWER
Answered 2022-Apr-04 at 22:59Here is the a solution taking the list of url to webpages of interest, collecting the moves from each table and creating a dataframe with the "1s".
Then combining the individual tables into the final answer
QUESTION
I am trying to find the correlation between all the columns in mushroom dataset. But when I run the correlation method on the columns, I get some correlation values, but for many of the columns the values are hidden by "...". How can I see these values.
...ANSWER
Answered 2021-Apr-14 at 04:36For the part: "many of the columns the values are hidden by "...". How can I see these values"
It is because by default it hides the columns if they are too many to display. I am not sure which of the print(df.head())
, df.head()
and print(correlation_df)
is your output image related to but you will need to see the columns separated using .iloc
.
Example:
QUESTION
I have a binary file with text in it. I need to grab the hex bytes of the string, and convert them to readable text. I'm using Python 3.
The encoding appears to be UTF-8, but I've been having some trouble decoding some specific strings. You see, some strings appear to have unicode code points to represent characters, where others use their hex values corresponding to their entry in the UTF-8 character table. Here's an example:
...ANSWER
Answered 2021-Jan-18 at 01:40The first string (with FD) is not UTF-8-encoded. It is likely ISO-8859-1 or Windows-1252. The byte representing ý
happens to match the Unicode code point value, but it is not using "[U]nicode code points to represent characters".
The LEGO string is UTF-8-encoded. If you are hacking strings from files and don't have a specification, you just have to guess. UTF-8 has to follow specific rules for its multi-byte encoding, so decoding is likely to fail if you try UTF-8 first and it isn't UTF-8. You could then fallback to ISO-8859-1
. The latter will decode anything, even if it isn't that encoding. You may end up with garbage.
Example for UTF-8 encoding:
QUESTION
I have multiple lightgbm model in R for which I want to validate and extract the variable names used during the fit. This is really simple with a glm
, but I can manage to find the way (if possible, see here) with lightgbm models.
Here a reproducible example to make everything clearer:
I use the data from lightgbm package:
...ANSWER
Answered 2021-Jan-10 at 16:36The comment "and I'm not even sure it reports all the variables" has me a bit confused about what you're asking for when you say "variable names used during the fit", so I've answered both interpretations here.
Both answers assume this slightly-smaller version of your reproducible example.
QUESTION
I am trying to build a simple Naive Bayes classifer for mushroom data. I want to use all of the variables as categorical predictors to predict if a mushroom is edible.
I am using caret package.
Here is my code in full:
...ANSWER
Answered 2020-Nov-09 at 22:14What you are trying to do is a bit tricky, most naive bayes implementation or at least the one you are using (from kLAR which is derived from e1071) uses a normal distribution. You can see under the details of naiveBayes help page from e1071:
The standard naive Bayes classifier (at least this implementation) assumes independence of the predictor variables, and Gaussian distribution (given the target class) of metric predictors. For attributes with missing values, the corresponding table entries are omitted for prediction.
And your predictors are categorical so this might be problematic. You can try to set kernel=TRUE
and adjust=1
to force it towards normal, and avoid kernel=FALSE
which will throw the error.
Before that we remove columns with only 1 level and sort out the column names, also in this case it's easier to use the formula and avoid the making dummy variables :
QUESTION
I have a program that is analyzing a dataset from a pandas dataframe.
The following is part of the program and it works perfectly:
...ANSWER
Answered 2020-Sep-30 at 20:14pandas.DataFrame.plot
returns anAxes
, and has afigsize
parameter.- This option won't work if
facecolor
is used as a parameter inside theDataFrame.plot
QUESTION
i have a dataframe of variables for 11 species of plants recorded in 2 locations. for each specie, I am attempting to compare the mean of variables between two different locations using a t.test(or wilcoxon test).
Here is the first few rows of my data
...ANSWER
Answered 2020-Jun-25 at 23:35We group by 'SPECIES' and then use summarise
with across
on the numeric columns, subset the column values were 'LOCATION' is 'Gauteng' or the other one, apply the t.test
and extract the pvalue
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spore
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page