معرفی شرکت ها


LatLon23-1.0.7


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Methods for representing geographic coordinates
ویژگی مقدار
سیستم عامل OS Independent
نام فایل LatLon23-1.0.7
نام LatLon23
نسخه کتابخانه 1.0.7
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Ryan Vennell
ایمیل نویسنده ryan.vennell@gmail.com
آدرس صفحه اصلی https://github.com/hickeroar/LatLon23
آدرس اینترنتی https://pypi.org/project/LatLon23/
مجوز UNKNOWN
LatLon ====== License / Fork Information -------------------------- :: Copyright (c) 2014-2015 Gen Del Raye Copyright (c) 2015 Ryan Vennell This is a derivative, forked from the original work by: Gen Del Raye <gdelraye@hawaii.edu> and located at: https://pypi.python.org/pypi/LatLon Licensed under the GPLv3: http://www.gnu.org/licenses/gpl-3.0.html The purpose of this fork is to provide full Python3 (and Python2) support in light of the fact that the original work has no public repository which can be contributed to or traditionally forked. Features -------- Methods for representing geographic coordinates (latitude and longitude) including the ability to: * Convert lat/lon strings from almost any format into a *LatLon* object (analogous to the datetime library's *stptime* method) * Automatically store decimal degrees, decimal minutes, and degree, minute, second information in a *LatLon* object * Output lat/lon information into a formatted string (analogous to the datetime library's *strftime* method) * Project lat/lon coordinates into some other proj projection * Calculate distance and heading between lat/lon pairs using either the FAI or WGS84 approximation * Create a new *LatLon* object by offsetting an initial coordinate by a distance and heading * Subtracting one *LatLon* object from another creates a *GeoVector* object with distance and heading attributes (analogous to the datetime library's *timedelta* object) * Adding or subtracting a *Latlon* object and a *GeoVector* object creates a new *LatLon* object with the coordinates adjusted by the *GeoVector* object's distance and heading * *GeoVector* objects can be added, subtracted, multiplied or divided Installation ------------ *LatLon* has only been tested in Python 2.7 Installation through pip:: $ pip install LatLon23 Installation through pip:: $ pip3 install LatLon23 Requires the following non-standard libraries: * *pyproj* Usage Notes ----------- Usage of *LatLon* is primarily through the class *LatLon*, which is designed to hold a single pair of *Latitude* and *Longitude* objects. Strings can be converted to *LatLon* objects using the method *string2latlon*, and to *Latitude* or *Longitude* objects using *string2geocoord*. Alternatively, a LatLon object can be constructed by subtracting two *LatLon* objects, or adding or subtracting a *Latlon* object and a *GeoVector* object. Latitude or Longitude Construction ================================== Latitude of longitude construction is through the classes *Latitude* and *Longitude*, respectively. You can pass a latitude or longitude coordinate in any combination of decimal degrees, degrees and minutes, or degrees minutes and seconds. Alternatively, you can pass a formatted string using the function *string2geocoord* for a string containing a single latitude or longitude, or *string2latlon* for a pair of strings representing the latitude and longitude. String formatting: ================== *string2latlon* and *string2geocoord* both take a *formatter* string which is loosely modeled on the *format* keyword used in *datetime's* *strftime* function. Indicator characters (e.g. *H* or *D*) are placed between a specific separator character (*%*) to specify the way in which a coordinate string is formatted. Possible values are as follows: :: *H* is a hemisphere identifier (e.g. N, S, E or W) *D* is a coordinate in decimal degrees notation (e.g. 5.833) *d* is a coordinate in degrees notation (e.g. 5) *M* is a coordinate in decimal minutes notation (e.g. 54.35) *m* is a coordinate in minutes notation (e.g. 54) *S* is a coordinate in seconds notation (e.g. 28.93) Any other characters (e.g. ' ' or ', ') will be treated as a separator between the above components. All components should be separated by the *%* character. For example, if the coord_str is '5, 52, 59.88_N', the format_str would be 'd%, %m%, %S%_%H' *Important* =========== One format that will not currently work is one where the hemisphere identifier and a degree or decimal degree are not separated by any characters. For example '5 52 59.88 N' is valid whereas '5 52 59.88N' is not. String output: ============== Both *LatLon* and *Latitude* and *Longitude* objects include a *to_string()* method for outputting a formatted coordinate. Projection: =========== Use *LatLon.project* to transform geographical coordinates into a chosen projection. Requires that you pass it a *pyproj* or *basemap* projection. Distance and Heading Calculation: ================================= *LatLon* objects have a *distance()* method which accepts a 2nd *LatLon* object as an argument. *distance()* will calculate the great-circle distance between the two coordinates using the WGS84 ellipsoid by default. To use the more approximate FAI sphere, set *ellipse* to 'sphere'. Initial and reverse headings (in degrees) can be calculated in a similar way using the *heading_initial()* and *heading_reverse()* methods. Alternatively, subtracting one *LatLon* object from another will return a *GeoVector* object with the attributes heading and distance. Creating a New LatLon Object by Offset from Another One: ======================================================== Use the *offset()* method of *LatLon* objects, which takes an initial heading (in degrees) and distance (in km) to return a new *LatLon* object at the offset coordinates. Also, you can perform the same operation by adding or subtracting a LatLon object with a GeoVector object. Examples -------- Create a *LatLon* object from coordinates:: >> palmyra = LatLon(Latitude(5.8833), Longitude(-162.0833)) # Location of Palmyra Atoll in decimal degrees >> palmyra = LatLon(5.8833, -162.0833) # Same thing but simpler! >> palmyra = LatLon(Latitude(degree = 5, minute = 52, second = 59.88), >> Longitude(degree = -162, minute = -4.998) # or more complicated! >> print palmyra.to_string('d% %m% %S% %H') # Print coordinates to degree minute second ('5 52 59.88 N', '162 4 59.88 W') Create a *Latlon* object from a formatted string:: >> palmyra = string2latlon('5 52 59.88 N', '162 4 59.88 W', 'd% %m% %S% %H') >> print palmyra.to_string('d%_%M') # Print coordinates as degree minutes separated by underscore ('5_52.998', '-162_4.998') Perform some calculations:: >> palmyra = LatLon(Latitude(5.8833), Longitude(-162.0833)) # Location of Palmyra Atoll >> honolulu = LatLon(Latitude(21.3), Longitude(-157.8167)) # Location of Honolulu, HI >> distance = palmyra.distance(honolulu) # WGS84 distance in km >> print distance 1766.69130376 >> print palmyra.distance(honolulu, ellipse = 'sphere') # FAI distance in km 1774.77188181 >> initial_heading = palmyra.heading_initial(honolulu) # Heading from Palmyra to Honolulu on WGS84 ellipsoid >> print initial_heading 14.6907922022 >> hnl = palmyra.offset(initial_heading, distance) # Reconstruct Honolulu based on offset from Palmyra >> print hnl.to_string('D') # Coordinates of Honolulu ('21.3', '-157.8167') Manipulate *LatLon* objects using *GeoVectors*:: >> vector = (honolulu - palmyra) * 2 # A GeoVector with 2x the magnitude of a vector from palmyra to honolulu >> print vector # Print heading and magnitude 14.6907922022 3533.38260751 print palmyra + (vector/2.0) # Recreate the coordinates of Honolulu by adding half of vector to palmyra 21.3, -157.8167 Version ------- Changelog ========= **1.0.7 (MARCH/29/2015)** * Forked from original work: https://pypi.python.org/pypi/LatLon * Added Python3 support and refactored a bit of the code * Updated Readme to correct issues and provide proper attribution * Adding MANIFEST.in


نحوه نصب


نصب پکیج whl LatLon23-1.0.7:

    pip install LatLon23-1.0.7.whl


نصب پکیج tar.gz LatLon23-1.0.7:

    pip install LatLon23-1.0.7.tar.gz