jefferson | JFFS2 filesystem extraction tool | File Utils library

by sviehb Python Version: v0.4.1 License: MIT

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

kandi X-RAY | jefferson Summary

jefferson is a Python library typically used in Utilities, File Utils applications. jefferson has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

JFFS2 filesystem extraction tool

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Quality

Security

License

Reuse

Support

jefferson has a low active ecosystem.

It has 270 star(s) with 101 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 23 have been closed. On average issues are closed in 464 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jefferson is v0.4.1

Quality

jefferson has 0 bugs and 0 code smells.

Security

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

jefferson code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jefferson 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

jefferson releases are available to install and integrate.

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

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

jefferson saves you 20 person hours of effort in developing the same functionality from scratch.

It has 57 lines of code, 2 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Decompress a block of data .

Get all kandi verified functions for this library.

jefferson Key Features

No Key Features are available at this moment for jefferson.

jefferson Examples and Code Snippets

No Code Snippets are available at this moment for jefferson.

Community Discussions

Trending Discussions on jefferson

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

Pandas Merge Not Working When Values Are an Exact Match

Mapping disease rates in R

Pandas finding mating entries on rows and merging columns in those rows into one

Pulling collapsed summary report from data.table

Jackson ObjectMapper JSON Error UnrecognizedPropertyException

Moving labels in ggplot graph so that they match the x-axis tick marks

Iterating through a list to find 5 highest values and creating a bar chart python

Sequentially extract top n from group depending on group value

Change column visibility table pysimplegui

QUESTION

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

Asked 2022-Apr-18 at 03:52

I have two large-ish data frames I am trying to append...

In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.

In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.

Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.

Edit: dput(df2)

...

ANSWER

Answered 2022-Apr-18 at 03:52

Here's one way you could turn state abbreviations into state names using R's built in state vectors:

Source https://stackoverflow.com/questions/71907258

QUESTION

Pandas Merge Not Working When Values Are an Exact Match

Asked 2022-Apr-01 at 20:33

Below is my code and Dataframes. stats_df is much bigger. Not sure if it matters, but the column values are EXACTLY as they appear in the actual files. I can't merge the two DFs without losing 'Alex Len' even though both DFs have the same PlayerID value of '20000852'

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ANSWER

Answered 2022-Apr-01 at 20:33

You need to specify the column you want to merge on using the on keyword argument:

Source https://stackoverflow.com/questions/71712312

QUESTION

Mapping disease rates in R

Asked 2022-Mar-06 at 04:44

I need to create a very basic map of disease rates in Louisiana.

I have one dataset with rate and parish information. Here is the dput info:

...

ANSWER

Answered 2022-Mar-05 at 20:18

With map_data, you need to use county rather than state to get the correct subregions. Then, we can use left_join to merge them together by county (i.e., subregion and Jurisdiction). There is a letter case difference, so I first converted Jurisdiction to lowercase to match the data from map_data. Note: df is the OP data from dput.

Source https://stackoverflow.com/questions/71365071

QUESTION

Pandas finding mating entries on rows and merging columns in those rows into one

Asked 2022-Feb-23 at 14:51

I have a data field like this.

Index Product Purchase_Address Order_Date 0 A 604 Cherry st, Dallas 2019-10-28 1 B 225 5th st, LA 2019-10-29 2 C 604 Cherry st, Dallas 2019-10-28 3 D 225 5th st, LA 2019-10-29 4 E 967 12th st, NY 2019-10-27 5 F 967 12th st, NY 2019-10-27 6 A 628 Jefferson St, NY 2019-10-20 7 B 628 Jefferson St, NY 2019-10-20 8 A 694 Meadow St, Atlanta 2019-10-25 9 B 694 Meadow St, Atlanta 2019-10-25 10 C 27 Wilson St, Austin 2019-10-26 11 D 27 Wilson St, Austin 2019-10-26

I need to make a new data field where I would merge the products into a single column if the address and order date are the same (meaning they where ordered at the same time).

The df should look something like this:

Index Product Purchase_Address 0 A, C 604 Cherry st, Dallas 1 B, D 225 5th st, LA 2 E, F 967 12th st, NY 3 A, B 628 Jefferson St, NY 4 A, B 694 Meadow St, Atlanta 5 C, D 27 Wilson St, Austin

And then from that a df, where I count the number of times a combination has happened:

Index Product_Combination Nr_Of_Times 0 A, C 1 1 B, D 1 2 E, F 1 4 A, B 2 5 C, D 1

How would I achieve something like this? Thanks!

...

ANSWER

Answered 2022-Feb-23 at 14:51

Use Groupby.agg with Groupby.count and Series.to_frame:

Source https://stackoverflow.com/questions/71238417

QUESTION

Pulling collapsed summary report from data.table

Asked 2022-Feb-16 at 18:54

Trying to update and summarize a larger data.table; data as follows.

...

ANSWER

Answered 2022-Feb-16 at 18:54

With the updated post, and using a more natural join,

Source https://stackoverflow.com/questions/71146524

QUESTION

Jackson ObjectMapper JSON Error UnrecognizedPropertyException

Asked 2022-Feb-14 at 03:11

I'm trying to learn the process of packaging. While using the Jackson ObjectMapper to parse my JSON file, I receive an UnrecognizedPropertyException.

...

ANSWER

Answered 2022-Feb-14 at 03:11

com.fasterxml.jackson.databind.exc.UnrecognizedPropertyException: Unrecognized field "usa"

You are trying to map the JSON to the StateGroup object, but the Java object doesn't have a "usa" field.

Two options:

Rename the states field to usa:

Source https://stackoverflow.com/questions/71106340

QUESTION

Moving labels in ggplot graph so that they match the x-axis tick marks

Asked 2022-Feb-13 at 22:29

I am working with a bar graph, and am trying to adjust the labels (location, in my dataset) so that they line up with the x-axis tick marks. The data is below:

...

ANSWER

Answered 2022-Feb-13 at 22:24

If you set hjust and vjust inside theme(axis.text.x = element_text(...)) you can tweak the positions however you like:

Source https://stackoverflow.com/questions/71105340

QUESTION

Iterating through a list to find 5 highest values and creating a bar chart python

Asked 2022-Feb-02 at 21:49

I am wanting to create a bar chart of top 5 populated states. My current function does not work for three reasons. 1) The most populated states are California,Texas,Florida,New York, and Pennsylvania. 2) The largest state the graph shows, california is the last one on the graph when it should be the first. 3) the y axis values are completely wrong. Not even numbering in the millions like the population does. Hope the question was clear. Thanks so much!

...

ANSWER

Answered 2022-Feb-02 at 19:33

The reason that your code doesn't work is that

Source https://stackoverflow.com/questions/70961283

QUESTION

Sequentially extract top n from group depending on group value

Asked 2021-Nov-20 at 12:55

I am working on calculating some football stats.

I have the following dataframe:

...

ANSWER

Answered 2021-Nov-19 at 21:55

Create a custom function that select a number of players according your requirements for each group and keep this index as idx_best. Then exclude all already selected players and select FLEX other players as idx_flex. Finally extract the union of this two indexes.

Source https://stackoverflow.com/questions/70040954

QUESTION

Change column visibility table pysimplegui

Asked 2021-Nov-19 at 04:31

A previous question asked about hiding a column in a pysimplegui table here. Using the same code can I update the visible map to change the current visibility (flip them both). I changed the update line to include visible_column_map, but that fails the update (I know it doesn't really flip but just wanted quick example). Is there a way to do this or do I need two different tables?

...

ANSWER

Answered 2021-Nov-19 at 04:31

There's no option to update visible_column_map of sg.Table, and it looks you update it with wrong element window['Birthday'] which is a sg.Label.

Tkinter code required here, button Change added to generate event to update it.

Source https://stackoverflow.com/questions/70029449

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

Vulnerabilities

No vulnerabilities reported

Install jefferson

You can download it from GitHub.
You can use jefferson 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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