panda | PANDA : A Newsroom Data Appliance | Data Manipulation library

by pandaproject Python Version: Current License: MIT

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

kandi X-RAY | panda Summary

panda is a Python library typically used in Utilities, Data Manipulation, Pandas applications. panda has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However panda has 20 bugs. You can download it from GitHub.

PANDA wants to be your newsroom data appliance. It provides a place for you to store data, search it and share it with the rest of your newsroom. The PANDA Project is 2011 Knight News Challenge winner. The team would like to thank the Knight Foundation for their generous support of free and open source software for newsrooms.

Support

Quality

Security

License

Reuse

Support

panda has a low active ecosystem.

It has 202 star(s) with 47 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 53 open issues and 894 have been closed. On average issues are closed in 134 days. There are 7 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 20 bugs (1 blocker, 0 critical, 8 major, 11 minor) and 639 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 32 security hotspots that need review.

License

panda is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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.

panda saves you 9417 person hours of effort in developing the same functionality from scratch.

It has 19232 lines of code, 613 functions and 303 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.

Search for all data
Try to get API keys
Check if user is authenticated
Update the message
Run Solr query
Abort the job
Begins the timer
Start import
Count the number of lines in a file
Guess column types
Return a list of samples
Show login help
Return a list of resources
Setup activation key
Sends the notification to the solr
Handler for downloading a related file
Invoked when a function returns a notification
Upload a file
Create models
Run import
Start the export
Run the reindex
Runs admin alerts
Run solr
Returns a list of bundles
Update the object with the given kwargs

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 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.

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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