DFA | minimization algorithm with DFA graphical representation

by kessiler Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | DFA Summary

DFA is a Java library typically used in User Interface, Example Codes applications. DFA has no bugs, it has no vulnerabilities and it has low support. However DFA build file is not available. You can download it from GitHub.

Implementation of the minimization algorithm with DFA graphical representation of the resulting DFA

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Security

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Support

DFA has a low active ecosystem.

It has 7 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DFA is current.

Quality

DFA has 0 bugs and 0 code smells.

Security

DFA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DFA code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DFA does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DFA releases are not available. You will need to build from source code and install.

DFA has no build file. You will be need to create the build yourself to build the component from source.

DFA saves you 290 person hours of effort in developing the same functionality from scratch.

It has 699 lines of code, 55 functions and 12 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed DFA and discovered the below as its top functions. This is intended to give you an instant insight into DFA implemented functionality, and help decide if they suit your requirements.

Minimizes the given AD
Method to list all transitions in an afd
Remove a given state
Removes a transition
Verify that all transitions are valid
Searches for a transition
Returns the set of letters
Returns the set of states
Redraw the entire graph
Add a new state
Show an afd
Add a transition
Load an AFD from a file
Adds a state to the model
Sets the state of the transition
Add a character to the alphabet
Remove unreachable transitions
Returns the initial state of the given set
Method to generate acessives for a transition
Draw the AD graph
Creates the graph
Returns a string representation of the file
Start the application controller
Overrides the border of the cell
Write content to file
Compare with state name

Get all kandi verified functions for this library.

DFA Key Features

No Key Features are available at this moment for DFA.

DFA Examples and Code Snippets

No Code Snippets are available at this moment for DFA.

Community Discussions

Trending Discussions on DFA

Looping with dplyr function?

Is it possible to move each row to end of same row after removing NaN of each row

PANDAS dataframe concat and pivot data

How do I display only the keys of a dataframe as the xticks of a plot, in pandas?

SettingWithCopyWarning message in Pandas/Python with df.loc

Selecting dataframe based on name in for loop - Python

r - Call multiple consecutive dataframes from global environment

pandas new column counting id's existence in other dataframe

Merging Pandas DFs and overwriting NaN

Splitting a dataframe with many labels

QUESTION

Looping with dplyr function?

Asked 2021-Jun-08 at 17:01

I have a large dataset and want to look at the relationship between various libraries (owners) and materials owned (objects). So far I've been doing this manually, by spreading and gathering to count the overlap between each owner.

Is there a way to loop this type of function so that I don't have to repeat it n number of times?

Here's a sample of data (already spread) and the work do gather it back.

...

ANSWER

Answered 2021-Jun-08 at 17:01

I came up with the following using tidyverse. It's a bit dense, so I added comments:

Source https://stackoverflow.com/questions/67889376

QUESTION

Is it possible to move each row to end of same row after removing NaN of each row

Asked 2021-Jun-05 at 03:51

I've been looking for the way to remove NaN in each row of dfA(DataFrame) and after then, move every row under push1_start_date and reconnect with the end of push1_start_date. Is it possible to do that ?? I tried stack() and unstack() method but it doesn't work .Thank you.

...

ANSWER

Answered 2021-Jun-05 at 03:51

You can try with reset_index(), melt(),dropna() and drop():

Source https://stackoverflow.com/questions/67845818

QUESTION

PANDAS dataframe concat and pivot data

Asked 2021-May-24 at 21:16

I'm leaning python pandas and playing with some example data. I have a CSV file of a dataset with net worth by percentile of US population by quarter of year. I've successfully subseted the data by percentile to create three scatter plots of net worth by year, one plot for each of three population sections. However, I'm trying to combine those three plots to one data frame so I can combine the lines on a single plot figure.

Data here: https://www.federalreserve.gov/releases/z1/dataviz/download/dfa-income-levels.csv

Code thus far:

...

ANSWER

Answered 2021-May-24 at 17:03

I don't see the categories mentioned in your code in the csv file you shared. In order to concat dataframes along columns, you could use pd.concat along axis=1. It concats the columns of same index number. So first set the Date column as index and then concat them, and then again bring back Date as a dataframe column.

To set Date column as index of dataframe, df1 = df1.set_index('Date') and df2 = df2.set_index('Date')
Concat the dataframes df1 and df2 using df_merge = pd.concat([df1,df2],axis=1) or df_merge = pd.merge(df1,df2,on='Date')
bringing back Date into column by df_merge = df_merge.reset_index()

Source https://stackoverflow.com/questions/67675432

QUESTION

How do I display only the keys of a dataframe as the xticks of a plot, in pandas?

Asked 2021-May-21 at 16:31

I have a dataframe with keys, formed from the concatenation of several dataFrames and I want to make a plot that has the key elements alone as the xtickslabel, but the default index numbering shows up alongside the keys, as the xtickslabel. The xticklabels are now tuples (key, index) instead of key. I want to get rid of the default index values. A plot of the sample code below with the plot statement, produces (4D, 0), (5D, 0), (6D, 0), and (7D, 0) as the the xticklabels, However, I want just 4D, 5D, 6D, 7D as the xticklabels.

...

ANSWER

Answered 2021-May-21 at 11:52

Using the for statement, save the first item from each index into the list and pass it over to the parameter in set_xticklabels.

Source https://stackoverflow.com/questions/67631932

QUESTION

SettingWithCopyWarning message in Pandas/Python with df.loc

Asked 2021-May-05 at 02:59

OBS: I've spent a few hours searching in SO, Pandas docs and a few others websites, but couldnt understand where my code isnt working.

My UDF: ...

ANSWER

Answered 2021-May-05 at 02:59

Problem is in your Main_testing.py

Source https://stackoverflow.com/questions/67376483

QUESTION

Selecting dataframe based on name in for loop - Python

Asked 2021-May-04 at 06:34

I am a novice user of Python 3.8.5 How do i select a dataframe based on its name? I have a string variable which matches to dataframe name, how do i map it to that particular dataframe for some math operation on it.

...

ANSWER

Answered 2021-May-04 at 06:34

You can use locals().get() to get dataframe by string variable.

Example:

locals().get(dfa)['Value1'].max()

Source https://stackoverflow.com/questions/67379305

QUESTION

r - Call multiple consecutive dataframes from global environment

Asked 2021-Apr-27 at 02:50

I have multiple df in the global environment that follow this pattern

...

ANSWER

Answered 2021-Apr-27 at 02:32

Use ls with pattern to get all the objects from global environment that follow a specific pattern. Use mget to get them in a list and with Map you can apply a function to each pair of variables.

Source https://stackoverflow.com/questions/67276201

QUESTION

pandas new column counting id's existence in other dataframe

Asked 2021-Apr-26 at 04:07

This is my initial dataframe dfA :

idA data 1 row 2 data 3 data

dataframe dfB

idC idA 1 1 2 1 3 3 4 3 5 3 6 3

I am trying to count every id existence of dfA in dfB , and add to new column like this:

idA data count 1 row 2 2 data 0 3 data 4

how can i do this plz

...

ANSWER

Answered 2021-Apr-26 at 04:07

Use groupby then count to get the count of idC in each group idA. At last, map the count Series to idA column of df1.

Source https://stackoverflow.com/questions/67260701

QUESTION

Merging Pandas DFs and overwriting NaN

Asked 2021-Apr-24 at 20:46

I have two DFs that I am trying to merge on the column 'conId'.The DFs have different number of rows and the only other overlapping column is 'delta'.

I am using pf.merge(greek,on='conId',how='left')

The resulting DF is giving me columns 'delta_x' and 'delta_y'

how can I merge these two columns into one column? Thank you!

...

ANSWER

Answered 2021-Apr-22 at 10:36

You can use

Source https://stackoverflow.com/questions/67211465

QUESTION

Splitting a dataframe with many labels

Asked 2021-Apr-24 at 10:49

I'm trying to split my data by different labels, like this:

...

ANSWER

Answered 2021-Apr-23 at 17:26

to_train = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,17, 18, 19, 20)
dfb = dfa[df_a['label'].isin(to_train)]

Source https://stackoverflow.com/questions/67234388

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DFA

You can download it from GitHub.
You can use DFA like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the DFA component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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