panda | Panda - configuration management tool | Frontend Framework library

by just-ai Java Version: Current License: No License

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

kandi X-RAY | panda Summary

panda is a Java library typically used in User Interface, Frontend Framework, React, Pandas applications. panda has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Panda - configuration management tool

Support

Quality

Security

License

Reuse

Support

panda has a low active ecosystem.

It has 17 star(s) with 6 fork(s). There are 6 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 147 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of panda is current.

Quality

panda has 0 bugs and 0 code smells.

Security

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

panda code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

panda 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

panda saves you 923 person hours of effort in developing the same functionality from scratch.

It has 2106 lines of code, 140 functions and 42 files.

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

Top functions reviewed by kandi - BETA

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

Insert template
Render config map
Renders the given source and returns the result
Renders file
Main entry point
Computes the action sequence
Load a yaml from yaml
Run the actions
Builds the components
Render props
Get list of hosts
Execute the diff
Writes the contents of the given collection to stdout
Load properties from command line
Loads the properties from the given file
Execute a template
Collect the properties for Cmp
Copy config files
Pushes a file
Initializes the actions
Open a session
Encrypt body to file
Decrypt body
Download a file from the remote server
Execute a command

Get all kandi verified functions for this library.

panda Key Features

No Key Features are available at this moment for panda.

panda Examples and Code Snippets

No Code Snippets are available at this moment for panda.

Community Discussions

Trending Discussions on panda

Pandas: List of maximum values of difference from previous rows in new column

repeat values of a column based on a condition

Identify distinct mappings of two overlapping columns in Pandas

drop a level two column from multi index dataframe

Create new columns based on rank order in Pandas

Filter dictionary whose values are arrays

Check Graph Reciprocity using Pandas

Parsing XML using Python and create an excel report - Elementree/lxml

Pandas RMSE Groupby Multiple Conditions

How to slice on values instead of index

QUESTION

Pandas: List of maximum values of difference from previous rows in new column

Asked 2021-Jun-16 at 03:33

I want to add a new column 'BEST' to this dataframe, which contains a list of the names of the columns which meet these criteria:

Subtract from the current value in each column the value in the row that is 2 rows back
The column that has the highest result of this subtraction will be listed in 'BEST'
If more more than one column shares the same highest result, they all get listed
If all columns have the same result, they all get listed

Input:

...

ANSWER

Answered 2021-Jun-16 at 03:33

First use shift and subtract to get the diff, then replace the maximum values with the column name and drop the others.

Source https://stackoverflow.com/questions/67995888

QUESTION

repeat values of a column based on a condition

Asked 2021-Jun-16 at 00:54

I have a data frame including three columns named 'Altitude', 'Distance', 'Slope'. The column of 'Slope' is calculated using the two first columns 'Altitude', 'Distance'. @ the first step the purpose was to calculate 'Slope' using a condition explained below: A condition function was deployed to start from the top column of the "Distance" variable and add up (sum) values until the summation of them is greater or equal to 10 (>=10). If this condition corrects then calculate the "Slope" using the given formula: Slope=Average(Altitude)/(sum(Distance)). The summation of the 'Distance' was counting from the first value of that to the index that the 'Distance' has stopped there). The following code is for the above explanation (By Tim Roberts):

...

ANSWER

Answered 2021-May-19 at 13:38

Use this code after you calculate s to get slope column with desired values:

Source https://stackoverflow.com/questions/67602985

QUESTION

Identify distinct mappings of two overlapping columns in Pandas

Asked 2021-Jun-15 at 20:56

Suppose I have a Pandas dataframe with two identifier columns like this:

...

ANSWER

Answered 2021-Jun-15 at 20:56

Sounds like a network issue, try with networkx

Source https://stackoverflow.com/questions/67993365

QUESTION

drop a level two column from multi index dataframe

Asked 2021-Jun-15 at 20:39

Consider this dataframe:

...

ANSWER

Answered 2021-Jun-15 at 20:30

Try:

Source https://stackoverflow.com/questions/67993054

QUESTION

Create new columns based on rank order in Pandas

Asked 2021-Jun-15 at 19:02

I have a data frame like this,

...

ANSWER

Answered 2021-Jun-11 at 05:56

df = df.set_index(["ID", "Rank"])
df = df.unstack("Rank")
df.columns = df.columns.map(lambda col: "_".join(map(str, col)))

Source https://stackoverflow.com/questions/67931685

QUESTION

Filter dictionary whose values are arrays

Asked 2021-Jun-15 at 18:35

I have data which looks like this:

...

ANSWER

Answered 2021-Jun-15 at 18:35

import numpy as np

features_dict = {
    'feat1': np.array([[0,1],[2,3],[4,5]]), 
    'feat2': np.array([[6,7],[8,9],[10,11]]),
    'feat3': np.array([1, 0, 0]),
    'feat4': np.array([[1],[2],[1]])
}

ind = features_dict['feat3'] == 0
features_dict = {k: v[ind] for k,v in features_dict.items()}

Source https://stackoverflow.com/questions/67991514

QUESTION

Check Graph Reciprocity using Pandas

Asked 2021-Jun-15 at 18:22

I have a Graph loaded in pandas and I want to check if my graph has nodes with reciprocity. My dataset looks like this:

id from to 0 s01 s03 1 s02 s01 2 s03 s01

The desired output of my code is the reciprocal nodes: (s01, s03)

I found a solution transforming my dataframe into tuples and comparing each combination of my nodes, but I'm sure this solution is far from ideal. Following is my code:

...

ANSWER

Answered 2021-Jun-15 at 18:22

You can merge the DataFrame with itself after swapping the from and to columns in the right DataFrame. Then sort the merged result and drop duplicates to get the unique pairs of reciprocal nodes.

Source https://stackoverflow.com/questions/67991543

QUESTION

Parsing XML using Python and create an excel report - Elementree/lxml

Asked 2021-Jun-15 at 17:46

I am trying to parse many XML test results files and get the necessary data like testcase name, test result, failure message etc to an excel format. I decided to go with Python.

My XML file is a huge file and the format is as follows. The cases which failed has a message, & and the passed ones only has . My requirement is to create an excel with testcasename, test status(pass/fail), test failure message.

...

ANSWER

Answered 2021-Jun-15 at 17:46

Since your XML is relatively flat, consider a list/dictionary comprehension to retrieve all child elements and attrib dictionary. From there, call pd.concat once outside the loop. Below runs a dictionary merge (Python 3.5+).

Source https://stackoverflow.com/questions/67977767

QUESTION

Pandas RMSE Groupby Multiple Conditions

Asked 2021-Jun-15 at 17:13

I am trying to compute the RMSE of a panda dataframe based on multiple conditions: (plant_name, year, month). My datafram (df3m) looks like this:

...

ANSWER

Answered 2021-Jun-15 at 17:13

You can use .GroupBy.apply() and put the call to mean_squared_error inside it, as follows:

Source https://stackoverflow.com/questions/67990261

QUESTION

How to slice on values instead of index

Asked 2021-Jun-15 at 17:04

I have this panda series

...

ANSWER

Answered 2021-Jun-15 at 17:04

You should set the mydata index to True.

Source https://stackoverflow.com/questions/67990414

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

Vulnerabilities

No vulnerabilities reported

Install panda

You can download it from GitHub.
You can use panda 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 panda 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 .

Find more information at: