zipcodes | An API for zip code geolocation | Compression library

by FoundrySH JavaScript Version: Current License: No License

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

kandi X-RAY | zipcodes Summary

zipcodes is a JavaScript library typically used in Utilities, Compression applications. zipcodes has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

An API for zip code geolocation.

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Support

zipcodes has a low active ecosystem.

It has 410 star(s) with 38 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 8 have been closed. On average issues are closed in 155 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of zipcodes is current.

Quality

zipcodes has 0 bugs and 0 code smells.

Security

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

zipcodes code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zipcodes 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

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

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zipcodes Key Features

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zipcodes Examples and Code Snippets

No Code Snippets are available at this moment for zipcodes.

Community Discussions

Trending Discussions on zipcodes

Using keys from a dict to look for the same "keys" in a pandas dataframe, then assign value from dict to dataframe empty column

How to exclude rows base on a value range ? Python

subsetting zipcodes from shapefile and plotting in R

jolt transformation : remove duplicates from json (list elements)

How to select specific data in a large json file and save the result with same structure

How to remove part of characters in data frame column

List of all US ZIP Codes using uszipcode

Extracting population by using web scraping in Python from dynamic graph

copy geopandas rows to a blank geopandas row

Unable to draw choropleth data on folium map with Zip Code laid out

QUESTION

Using keys from a dict to look for the same "keys" in a pandas dataframe, then assign value from dict to dataframe empty column

Asked 2022-Mar-26 at 23:02

I have a pandas dataframe with zipcodes. I also have a dictionary where keys = zipkode and values = regions

The dictionary

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ANSWER

Answered 2022-Mar-26 at 23:02

I'm going to keep this up, even though .map() is supposedly faster than .replace() simply because the results are different, and others may find one or the other more appropriate for their use-case.

Note that the main difference is that .replace() will leave the original value intact if no mapping was found, whereas .map() produces NaN for mappings that don't exist.

Source https://stackoverflow.com/questions/71632371

QUESTION

How to exclude rows base on a value range ? Python

Asked 2022-Mar-24 at 17:24

I have a dataset of 9636 rows in which I want to exclude the zipcodes ('zip') that are not from PA (range 15001 to 19611). I try to do this but it seems that it deleted all the columns. i want to keep all the columns with zip codes within this range (range 15001 to 196110)

Code

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ANSWER

Answered 2022-Mar-24 at 17:24

pa_zip = CSR_data[(CSR_data['zip'] >= 15001 ) & (CSR_data['zip']<= 19611)]
pa_zip

Source https://stackoverflow.com/questions/71606571

QUESTION

subsetting zipcodes from shapefile and plotting in R

Asked 2022-Mar-05 at 18:06

I have a Census Shapefile of the United States by ZCTA. Am only interested in plotting NY. I can read in the whole shapefile and plot only NY by limiting the longitude and latitude but it takes a long time and R keeps crashing.

Instead, I'd like to reduce to only zipcodes in NY. I'm reading in the shapefile, converting to dataframe and then subsetting to the zipcodes/ZCTAs in NY. When I plot the result, however, it's not a full map. Is this the right approach? My R code and plot are below:

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ANSWER

Answered 2022-Mar-05 at 18:06

Why so complicated path via raster and ggplot2? Please have a look on sf package:

Source https://stackoverflow.com/questions/71356727

QUESTION

jolt transformation : remove duplicates from json (list elements)

Asked 2022-Feb-23 at 17:00

I am looking for some inputs to remove duplicates from a json string similar to below sample :

Sample Input :

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ANSWER

Answered 2022-Feb-23 at 17:00

You can use following specs

Source https://stackoverflow.com/questions/71224241

QUESTION

How to select specific data in a large json file and save the result with same structure

Asked 2022-Feb-18 at 19:10

Very large Json file (3Gb) like this:

...

ANSWER

Answered 2022-Feb-18 at 19:10

(1) If your computer has enough RAM, then the simplest solution would be along the lines of:

Source https://stackoverflow.com/questions/71146786

QUESTION

How to remove part of characters in data frame column

Asked 2022-Jan-28 at 08:01

I have a data frame as follows (part of a larger set):

data frame

for the column raw$Zipcode I need to remove the two 00 before the Zipcode number for Swedish zipcodes (preferably through a function). I am very new to R and have found gsub and strsplit but can't seem to make it work:

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ANSWER

Answered 2022-Jan-28 at 08:00

v <- c("00345", "00045", "12345", "12005")

sub("^0{2}", "", v)

# [1] "345"   "045"   "12345" "12005"

Source https://stackoverflow.com/questions/70890392

QUESTION

List of all US ZIP Codes using uszipcode

Asked 2021-Dec-30 at 13:41

I've been trying to fetch all US Zipcodes for a web scraping project for my company. I'm trying to use uszipcode library for doing it automatically rather than manually from the website im intersted in but cant figure it out.

this is my manual attempt:

...

ANSWER

Answered 2021-Dec-30 at 11:55

You may try to search by pattern ''

Source https://stackoverflow.com/questions/70530824

QUESTION

Extracting population by using web scraping in Python from dynamic graph

Asked 2021-Dec-28 at 18:26

My task is to iterate all over US zipcodes in https://www.unitedstateszipcodes.org/23022/#stats and extract from the graph below the number for each year.

This link is an example for one zipcode area. after I extract them all I need to put them in a Pandas dataframe (which is quite easy), tried to look in other posts but can't seem to solve this.

Looked into the elements in the html but it is very unclear.

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ANSWER

Answered 2021-Dec-28 at 18:26

I don't want to swamp the server. It looks like it queries a background database for data based on a zipcode and not all zipcodes have associated data. If you can determine a suitable range then use that in an iterable such as a list. A simply try except against all zip codes would be a very large number of requests and you would need to start thinking about batching requests, spreading over time, adding in pauses and switching to asynchronous requests.

The chart data can be extracted from a JavaScript object within the response text and parsed with json library. I assume that the years are consistent across responses.

Source https://stackoverflow.com/questions/70509776

QUESTION

copy geopandas rows to a blank geopandas row

Asked 2021-Dec-14 at 11:31

I have a list of zipcodes that i want to extract from a geopandas dataframe. I am successfully able to detect the rows with the list of zipcodes (rfp) but are unable to create new geopandas DataFrame with just the new rows copied over.

I tried append, iloc

Is there a simpler way to get this done?

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ANSWER

Answered 2021-Dec-14 at 11:31

you appear to be over complicating your pandas / geopandas filter capabilities for no good reason
have sourced all US zip code geometry
filter to 20 codes using loc[]
have simplified geometry to centroid for purpose of being able to show output in this answer

Source https://stackoverflow.com/questions/70345875

QUESTION

Unable to draw choropleth data on folium map with Zip Code laid out

Asked 2021-Dec-03 at 05:08

My Data is just a simple csv with a Zip Code column with an Uninsured Column to represent the percentage of uninsured population in that zip code. Also the geojson file for the zip codes is attached here

zip_uninsured.csv

Zipcodes_Arc.geojson

My Code is as follows:

...

ANSWER

Answered 2021-Dec-03 at 05:08

The reason you could not draw the graph may be that the geometry of geopandas is a line segment. I got the zip code geojson file from here to deal with this. This file is in polygon format. Also, if you reference it as it is in goepandas, the key referenced in key_on will be 'feature.propeties.zipcode'. One important point is that the zip code to be associated with geojson is a string, so the user data must also be a string.

Source https://stackoverflow.com/questions/70209067

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

Vulnerabilities

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Install zipcodes

You can download it from GitHub.

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