pypostal | Python bindings to libpostal for fast international address | Parser library

by openvenues C Version: 1.0 License: MIT

X-Ray Key Features Code Snippets(10)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pypostal Summary

pypostal is a C library typically used in Utilities, Parser applications. pypostal has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

These are the official Python bindings to a fast statistical parser/normalizer for street addresses anywhere in the world.

Support

Quality

Security

License

Reuse

Support

pypostal has a low active ecosystem.

It has 664 star(s) with 78 fork(s). There are 22 watchers for this library.

It had no major release in the last 12 months.

There are 34 open issues and 36 have been closed. On average issues are closed in 87 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pypostal is 1.0

Quality

pypostal has 0 bugs and 0 code smells.

Security

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

pypostal code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pypostal 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

pypostal releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 171 lines of code, 10 functions and 9 files.

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

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pypostal Key Features

No Key Features are available at this moment for pypostal.

pypostal Examples and Code Snippets

Concatenate strings only if they aren't NA values

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

df['combined'] = df.apply(lambda row: ' '.join(row.dropna().astype(str)), axis=1)

Django Admin: How to use OneToMany Field inside list_display?

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

class HouseAdmin(admin.ModelAdmin):
    search_fields = ['Name']
    list_display = ['Name']
    list_filter = ['fa__PostalCode']

Fetch a single word from an output in python?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import json
import urllib.request
with urllib.request.urlopen('http://ipinfo.io') as f:
    data = json.load(f)
print('Convergence' in data['org'])

Preserve formatting during excel file split with python

Python

Lines of Code : 26

License : Strong Copyleft (CC BY-SA 4.0)

Copy

    def sendtofile(cols):
        for i in cols:
            writer = pd.ExcelWriter("{}/{}.xlsx".format(pth, i),
                                    datetime_format='m/d/yyyy hh:mm:ss',
                                    date_format='m/d

How can I filter a csv file based on its columns in python?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

df = pd.read_csv(path)

df2 = df[df['City'].isin(['Kish', 'Qeshm'])]

df2.to_csv(another_path)

What would be the right regex to capture Dutch postal code with some data 'dirtiness'?

Python

Lines of Code : 20

License : Strong Copyleft (CC BY-SA 4.0)

Copy

\b(?P\d{4})(?: (?P[A-Z]{2}))? (?P\S.*)

import re

pattern = r"\b(?P\d{4})(?: (?P[A-Z]{2}))? (?P\S.*)"

s = ("1234 AA 5523 ZB\n"
            "1234 AA Amsterdam\n"
            "1234 Amsterdam\n"
            "5555 AD

Python Selenium: unable to reach particular image in a flyer to scrape text

Python

Lines of Code : 33

License : Strong Copyleft (CC BY-SA 4.0)

Copy

from selenium.webdriver.common.action_chains import ActionChains
import time
from webdriver_manager.chrome import ChromeDriverManager
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.suppor

Using pandas in python to pull a specific string from a column

Python

Lines of Code : 3

License : Strong Copyleft (CC BY-SA 4.0)

Copy

df = pd.read_csv('path/to/your/file.csv')
df = df[df['Item Title'].fillna('').str.contains('Chain × Jewelry × Necklace') & df['Name'].fillna('').str.len().gt(0)]

Using pandas in python to pull a specific string from a column

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

df[df["Item Title"].str.contains(r"^(?=.*\bChain\b)(?=.*\bJewelry\b)(?=.*\bNecklace\b).+", regex=True)]

How Can I repeat this program

Python

Lines of Code : 11

License : Strong Copyleft (CC BY-SA 4.0)

Copy

def func():
        dic = {10200:"Homagama" , 10206:"Pitipana" , 10101:"Athurugiriya"}
        a = input("Enter Postal Code:")
        if int(a) in dic:
            print(dic[int(a)])
        else:
            print("Not in our DB")

Community Discussions

Trending Discussions on pypostal

Only get street and country from Libpostal (Pypostal) - PySpark

Data cleaning this strange array format

QUESTION

Only get street and country from Libpostal (Pypostal) - PySpark

Asked 2021-Mar-21 at 19:24

I'm using libpostal - pypostal to parse an address but I only need the road and the country in an Array ["franklin ave","usa"],["leonard st","united kingdom"]

How can I achieve this ?

Return type is net.razorvine.pickle.objects.classdictconstructor

...

ANSWER

Answered 2021-Mar-19 at 13:52

Maybe you can try a list comprehension before returning the parsed address:

Source https://stackoverflow.com/questions/66709172

QUESTION

Data cleaning this strange array format

Asked 2020-Oct-25 at 18:07

I’m new to python. I used python and Jupiter notebook and imported Pandas & pypostal.

This is my code:

...

ANSWER

Answered 2020-Oct-25 at 17:31

Create dictionary from resulting list of tuples by extracting State, city, road.
Create new dataframe from dictionary and you can use to_csv() for exporting file.
- use respective file extension in to_csv()

Please provide Sample Output next time. Steps to reproduce are not clear.

Refer to below link:

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_csv.html

Source https://stackoverflow.com/questions/64526564

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

Vulnerabilities

No vulnerabilities reported

Install pypostal

Before using the Python bindings, you must install the libpostal C library. Make sure you have the following prerequisites:.

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: