Merge pull request #47 from Tejasweee/patch-1

bugfix documentation from tinydb to from tinyflux

Author: citrusvanilla

docs/source/querying-data.rst

@@ -27,7 +27,7 @@ Measurement Queries
 
 To query for a specific measurement, the right-hand side of the ``MeasurementQuery`` should be a Python ``str``:
 
->>> from tinydb import MeasurementQuery
+>>> from tinyflux import MeasurementQuery
 >>> Measurement = MeasurementQuery()
 >>> db.search(Measurement == "city temperatures")
 
@@ -36,7 +36,7 @@ Tag Queries
 
 To query for tags, the *tag key* of interest takes the form of a query attribute (following the ``.``), while the *tag value* forms the right-hand side.  An example to illustrate:
 
->>> from tinydb import TagQuery
+>>> from tinyflux import TagQuery
 >>> Tags = TagQuery()
 >>> db.search(Tags.city == "Greenwich")
 
@@ -47,15 +47,15 @@ Field Queries
 
 Similar to tags, to query for fields, the field key takes the form of a query attribute, while the field value forms the right-hand side:
 
->>> from tinydb import FieldQuery
+>>> from tinyflux import FieldQuery
 >>> Fields = FieldQuery()
 >>> db.search(Fields.high > 50.0)
 
 This will query the database for all points with the field key of ``high`` exceeding the value of 50.0.
 
 Some tag keys and field keys are not valid Python identifiers (for example, if the key contains whitespace), and can alternately be queried with string attributes:
 
->>> from tinydb import TagQuery
+>>> from tinyflux import TagQuery
 >>> Tags = TagQuery()
 >>> db.search(Tags["country name"] == "United States of America")
 
@@ -64,7 +64,7 @@ Time Queries
 
 To query based on time, the "right-hand side" of the ``TimeQuery`` should be a timezone-aware ``datetime`` object:
 
->>> from tinydb import TimeQuery
+>>> from tinyflux import TimeQuery
 >>> from datetime import datetime, timezone
 >>> Time = TimeQuery()
 >>> db.search(Time > datetime(2000, 1, 1, tzinfo=timezone.utc))
@@ -151,7 +151,7 @@ Compound Queries and Query Modifiers
 
 TinyFlux also allows supports compound queries through the use of logical operators.  This is particularly useful for time queries when a time range is needed.
 
->>> from tinydb import TimeQuery
+>>> from tinyflux import TimeQuery
 >>> from datetime import datetime, timezone
 >>> Time = TimeQuery()
 >>> q1 = Time > datetime(1990, 1, 1, tzinfo=timezone.utc)