Python Bing API Facilitator
Python Bing API Facilitator is a Python library created to simplify the usage of the bing api for distance between two geographic coordination. The project is on current development and future methods may be implemented
Installation
Import the package from Pypi
pip install pybaf
Usage
Import the class pybaf from the package
from pybaf import pybaf
Define the bing_api with your Bing key
pybaf = pybaf(key = 'key')
You need to define two dataframes that contain latitude and longitude and their IDs to calculate a Distance Matrix
df_origin = 'Insert the origin dataframe here'
df_destination = 'Insert the origin dataframe here'
The distance_matrix method returns a pd.DataFrame with all cross IDs (origin and destination) with their relative distance(KM) and time(minutes).
Note that you will need to pass the destination_id and origin_id to identify the returning pd.DataFrame
df_matrix = pybaf.distance_matrix(df_destination='', df_origin='', destination_id='', origin_id='',)
The n_smallest method returns the n_smallest value between id_origin the id_destinations
n_smallest_df = pybaf.n_smallest(df_final, n=1,origin_id='', destination_id='',value='')
# default n=1
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
Authors
developed by joaovitorncn
Metadata
Release files for pybaf 2.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pybaf-2.0.5.tar.gz | 4.2 kB | Details |
Release files / pybaf-2.0.5.tar.gz
| Download URL | pybaf-2.0.5.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
5548326b92c6fce0334f30e7098dda3de477413d88b1d339095fe020d1bdf085
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BLAKE2b-256 checksum How to use checksums |
a8a96137dd3a6c1354ea342f058b6ec32ca16533ed278649829eb81d7f3f6378
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/47.3.1.post20200622 requests-toolbelt/0.9.1 tqdm/4.42.0 CPython/3.7.4
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