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qgis-syntax-expressions

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Updated 10-15 22:18

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qgis-syntax-expressions

Quick Reference

Expression Evaluation Pipeline

Step Class Purpose
1. Parse QgsExpression(string) Validate syntax, build AST
2. Context QgsExpressionContext() Provide variables, fields, scopes
3. Scopes QgsExpressionContextUtils Add global/project/layer/feature scopes
4. Evaluate exp.evaluate(context) Execute and return result
5. Validate exp.hasEvalError() Check for runtime errors

Expression Syntax Cheatsheet

Element Syntax Example
Field reference "field_name" (double quotes) "population"
String literal 'text' (single quotes) 'hello world'
Number literal 123, 3.14 42
NULL check IS NULL, IS NOT NULL "name" IS NOT NULL
Comparison =, !=, >, >=, <, <= "area" > 100
Logical AND, OR, NOT "pop" > 1000 AND "type" = 'city'
Arithmetic +, -, *, /, ^, % "population" * 1.05
Pattern match LIKE, ILIKE, ~ (regex) "name" ILIKE '%lake%'
Concatenation || "first" || ' ' || "last"
Conditional CASE WHEN ... THEN ... END CASE WHEN "pop" > 1e6 THEN 'large' ELSE 'small' END
Geometry vars $area, $length, $x, $y $area / 1e6
Current geometry $geometry num_points($geometry)

Common Expression Functions

Category Functions
Math sqrt(), abs(), round(), floor(), ceil(), sin(), cos(), pi()
String upper(), lower(), length(), trim(), replace(), regexp_replace(), substr(), left(), right()
Conversion to_int(), to_real(), to_string(), to_date(), to_datetime()
Date/Time now(), day(), month(), year(), hour(), minute(), age(), day_of_week()
Geometry $area, $length, $x, $y, $perimeter, centroid(), buffer(), area(), length(), num_geometries(), num_points()
Aggregates aggregate(), sum(), count(), mean(), min(), max(), concatenate(), array_agg()
Conditionals if(), coalesce(), nullif(), try()
Arrays array(), array_length(), array_contains(), array_append(), array_to_string()
Map/Record map(), map_get(), hstore_to_map()
Color color_rgb(), color_hsv(), ramp_color(), darker(), lighter()

Critical Warnings

ALWAYS check exp.hasParserError() after creating a QgsExpression. A parser error means the expression string is syntactically invalid and evaluation will fail silently or return NULL.

ALWAYS check exp.hasEvalError() after calling exp.evaluate(). Evaluation errors occur when the expression is syntactically valid but fails at runtime (e.g., field not found, type mismatch).

ALWAYS set up a proper QgsExpressionContext with appropriate scopes when evaluating expressions that reference fields, project variables, or layer properties. Evaluating without context returns NULL for all field references.

NEVER use double quotes for string literals in expressions. Double quotes reference field names: "name" reads the field, 'name' is the string literal.

NEVER forget to call context.setFeature(feature) before evaluating feature-dependent expressions in a loop. Omitting this causes all features to evaluate against stale or empty data.

NEVER use print() inside custom expression functions (@qgsfunction). Use QgsMessageLog instead. Expression functions run during rendering and print() causes thread-safety issues.

ALWAYS specify referenced_columns in @qgsfunction for performance. Use [QgsFeatureRequest.ALL_ATTRIBUTES] if the function reads arbitrary fields; use [] if it reads no fields.

ALWAYS set usesgeometry=True in @qgsfunction if the function accesses feature.geometry(). Omitting this causes the geometry to be unavailable.


Decision Tree: Choosing the Right Expression Approach

Need to use an expression?
|
+-- Filter features? --> QgsFeatureRequest.setFilterExpression()
|
+-- Calculate field values? --> Field Calculator pattern (edit session + evaluate per feature)
|
+-- Drive labeling? --> QgsPalLayerSettings.fieldName + isExpression = True
|
+-- Drive symbology? --> QgsProperty.fromExpression() on symbol/renderer properties
|
+-- Evaluate standalone? --> QgsExpression.evaluate(context)
|
+-- Need custom logic? --> @qgsfunction decorator + QgsExpression.registerFunction()

Essential Patterns

Pattern 1: Parse and Evaluate an Expression

from qgis.core import (
    QgsExpression, QgsExpressionContext, QgsExpressionContextUtils
)

exp = QgsExpression('"population" * 1.05')
if exp.hasParserError():
    raise ValueError(f"Parse error: {exp.parserErrorString()}")

context = QgsExpressionContext()
context.appendScopes(
    QgsExpressionContextUtils.globalProjectLayerScopes(layer)
)

for feature in layer.getFeatures():
    context.setFeature(feature)
    value = exp.evaluate(context)
    if exp.hasEvalError():
        raise ValueError(f"Eval error: {exp.evalErrorString()}")
    print(f"Feature {feature.id()}: {value}")

Pattern 2: Expression-Based Feature Filtering

from qgis.core import QgsFeatureRequest

# Method A: expression string directly
request = QgsFeatureRequest().setFilterExpression('"population" >= 50000')
features = list(layer.getFeatures(request))

# Method B: QgsExpression object
exp = QgsExpression('"name" ILIKE \'%lake%\'')
request = QgsFeatureRequest(exp)
features = list(layer.getFeatures(request))

Pattern 3: Field Calculator (Update Attributes)

from qgis.core import (
    edit, QgsExpression, QgsExpressionContext,
    QgsExpressionContextUtils
)

exp = QgsExpression('"population" * 2')
context = QgsExpressionContext()
context.appendScopes(
    QgsExpressionContextUtils.globalProjectLayerScopes(layer)
)

with edit(layer):
    for f in layer.getFeatures():
        context.setFeature(f)
        f['doubled_pop'] = exp.evaluate(context)
        layer.updateFeature(f)

Pattern 4: Expression-Based Labeling

from qgis.core import QgsPalLayerSettings, QgsVectorLayerSimpleLabeling

settings = QgsPalLayerSettings()
settings.fieldName = '"name" || \' (\' || "population" || \')\''
settings.isExpression = True
settings.enabled = True

text_format = settings.format()
text_format.setSize(12)
settings.setFormat(text_format)

labeling = QgsVectorLayerSimpleLabeling(settings)
layer.setLabeling(labeling)
layer.setLabelsEnabled(True)
layer.triggerRepaint()

Pattern 5: Data-Defined Symbology Properties

from qgis.core import QgsProperty

symbol = layer.renderer().symbol()

# Size driven by expression
symbol.setDataDefinedSize(
    QgsProperty.fromExpression('"population" / 1000')
)

# Color driven by expression
symbol.setDataDefinedColor(
    QgsProperty.fromExpression(
        "CASE WHEN \"type\" = 'city' THEN '#ff0000' ELSE '#0000ff' END"
    )
)

layer.triggerRepaint()

Pattern 6: Custom Expression Function

from qgis.core import qgsfunction, QgsExpression

@qgsfunction(args='auto', group='Custom', referenced_columns=[])
def population_density(population, area_km2, feature, parent):
    """
    Calculate population density per square kilometer.
    <p>Usage: population_density("pop_field", "area_field")</p>
    """
    if area_km2 and area_km2 > 0:
        return population / area_km2
    return None

# Register (call once, e.g., in plugin initGui)
QgsExpression.registerFunction(population_density)

# Now usable: population_density("population", "area")

# Unregister (call in plugin unload)
QgsExpression.unregisterFunction('population_density')

Context Scope Hierarchy

Scopes are stacked from generic to specific. When variable names collide, the most specific scope wins:

Global scope        → @qgis_version, @user_full_name, custom global vars
  Project scope     → @project_title, @project_crs, custom project vars
    Layer scope     → @layer_name, @layer_id, layer fields
      Feature scope → Feature attributes, $geometry, $id, $currentfeature

Adding Custom Variables

from qgis.core import QgsExpressionContextUtils

# Set global variable (persists across sessions)
QgsExpressionContextUtils.setGlobalVariable('my_threshold', 42)

# Set project variable (saved with project)
QgsExpressionContextUtils.setProjectVariable(
    QgsProject.instance(), 'analysis_year', 2024
)

# Set layer variable (saved with layer in project)
QgsExpressionContextUtils.setLayerVariable(layer, 'source_date', '2024-01-15')

# Access in expressions: @my_threshold, @analysis_year, @source_date

Aggregate Expressions

Aggregates compute values across features within a layer:

# In expression strings:
# aggregate('layer_name', 'sum', "population")
# aggregate('layer_name', 'mean', "area", filter:="type" = 'residential')

# Common shorthand (current layer):
# sum("population")
# count("id", filter:="active" = 1)
# mean("temperature", group_by:="region")

ALWAYS use the filter parameter in aggregates to limit the scope. Aggregating an entire large layer without a filter is a performance bottleneck.


Reference Links

Official Sources