Add examples from Visual Crossing

README.rst

@@ -62,6 +62,9 @@ Usage
     python wq.py Particulates in Stuttgart on 2020-09-17
     python wq.py hourly temperatures in Potsdam on 2020-09-15
     python wq.py maximum temperature in Munich tomorrow
+    python wq.py Tell me the weather in Tokyo, Japan on the 6th January 1975.
+    python wq.py What will the weather be in London, England next Wednesday?
+    python wq.py What was the weather in Washington,DC last 4th July?
 
     # German
     python wq.py Sonnenschein auf Helgoland
@@ -87,8 +90,30 @@ Usage
     python wq.py 2020-09-17 को खड़गपुर में धूप
 
 
+Other implementations
+=====================
+
+The article `How to find weather data using NLP (Natural Language Processing)`_
+by Andrew Wigmore of `Visual Crossing Corporation`_ describes how to use
+`Natural language processing`_ (NLP) to create a sample Java application that
+can find weather data using "natural language" text questions. This allows
+users to find weather data using queries such as:
+
+- Tell me the weather in Tokyo, Japan on the 6th January 1975.
+- What will the weather be in London, England next Wednesday?
+- What was the weather in Washington,DC last 4th July?
+
+It is based on `Stanford CoreNLP`_. Find the code example at
+`NLPWeatherDataSample.java`_.
+
+
+
 .. _Flair: https://pypi.org/project/flair/
+.. _How to find weather data using NLP (Natural Language Processing): https://www.visualcrossing.com/resources/documentation/weather-api/how-to-find-weather-data-using-nlp/
 .. _Natural language processing: https://en.wikipedia.org/wiki/Natural_language_processing
 .. _NLP: https://en.wikipedia.org/wiki/Natural_language_processing
+.. _NLPWeatherDataSample.java: https://github.com/visualcrossing/WeatherApi/blob/master/Java/com/visualcrossing/weather/samples/NLPWeatherDataSample.java
 .. _spaCy: https://pypi.org/project/spacy/
+.. _Stanford CoreNLP: https://stanfordnlp.github.io/CoreNLP/
+.. _Visual Crossing Corporation: https://github.com/visualcrossing
 .. _Wetterdienst: https://github.com/earthobservations/wetterdienst

test_wigmore.py

@@ -0,0 +1,30 @@
+# -*- coding: utf-8 -*-
+# (c) 2020-2021 Andreas Motl <andreas.motl@panodata.org>
+# Distributed under the AGPLv3 License. See LICENSE for more info.
+
+from wq import Result, analyze_spacy
+
+
+def test_english_wigmore_tokyo():
+    result = analyze_spacy(
+        "Tell me the weather in Tokyo, Japan on the 6th January 1975."
+    )
+    assert result == Result(
+        where="Tokyo, Japan", when="the 6th January 1975", what="The Weather"
+    )
+
+
+def test_english_wigmore_london():
+    result = analyze_spacy(
+        "What will the weather be in London, England next Wednesday?"
+    )
+    assert result == Result(
+        where="London, England", when="next Wednesday", what="The Weather"
+    )
+
+
+def test_english_wigmore_washington():
+    result = analyze_spacy("What was the weather in Washington,DC last 4th July?")
+    assert result == Result(
+        where="Washington,DC", when="last 4th July", what="The Weather"
+    )