QGIS/python/plugins/processing/algs/qgis/VectorLayerScatterplot.py
Harrissou Sant-anna 60e684df77
Remove optional criteria on "Use logarithmic scale ..." boolean parameters
of vector layer scatterplot algorithm
2025-04-04 11:14:37 +02:00

246 lines
8.1 KiB
Python

"""
***************************************************************************
EquivalentNumField.py
---------------------
Date : January 2013
Copyright : (C) 2013 by Victor Olaya
Email : volayaf at gmail dot com
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 2 of the License, or *
* (at your option) any later version. *
* *
***************************************************************************
"""
__author__ = "Victor Olaya"
__date__ = "January 2013"
__copyright__ = "(C) 2013, Victor Olaya"
import warnings
from qgis.core import (
QgsProcessingException,
QgsProcessingParameterFeatureSource,
QgsProcessingParameterField,
QgsProcessingParameterFileDestination,
QgsProcessingParameterString,
QgsProcessingParameterBoolean,
QgsProcessingParameterExpression,
QgsExpression,
QgsExpressionContext,
QgsExpressionContextUtils,
QgsProcessingUtils,
QgsFeatureRequest,
)
from processing.algs.qgis.QgisAlgorithm import QgisAlgorithm
from processing.tools import vector
from qgis.PyQt.QtCore import QCoreApplication
class VectorLayerScatterplot(QgisAlgorithm):
INPUT = "INPUT"
OUTPUT = "OUTPUT"
XFIELD = "XFIELD"
YFIELD = "YFIELD"
HOVERTEXT = "HOVERTEXT"
TITLE = "TITLE"
XAXIS_TITLE = "XAXIS_TITLE"
YAXIS_TITLE = "YAXIS_TITLE"
XAXIS_LOG = "XAXIS_LOG"
YAXIS_LOG = "YAXIS_LOG"
def group(self):
return self.tr("Plots")
def groupId(self):
return "plots"
def __init__(self):
super().__init__()
def initAlgorithm(self, config=None):
self.addParameter(
QgsProcessingParameterFeatureSource(self.INPUT, self.tr("Input layer"))
)
self.addParameter(
QgsProcessingParameterField(
self.XFIELD,
self.tr("X attribute"),
parentLayerParameterName=self.INPUT,
type=QgsProcessingParameterField.DataType.Numeric,
)
)
self.addParameter(
QgsProcessingParameterField(
self.YFIELD,
self.tr("Y attribute"),
parentLayerParameterName=self.INPUT,
type=QgsProcessingParameterField.DataType.Numeric,
)
)
self.addParameter(
QgsProcessingParameterExpression(
self.HOVERTEXT,
self.tr("Hover text"),
parentLayerParameterName=self.INPUT,
optional=True,
)
)
self.addParameter(
QgsProcessingParameterString(self.TITLE, self.tr("Title"), optional=True)
)
self.addParameter(
QgsProcessingParameterString(
self.XAXIS_TITLE, self.tr("X-axis title"), optional=True
)
)
self.addParameter(
QgsProcessingParameterString(
self.YAXIS_TITLE, self.tr("Y-axis title"), optional=True
)
)
self.addParameter(
QgsProcessingParameterBoolean(
self.XAXIS_LOG,
self.tr("Use logarithmic scale for x-axis"),
defaultValue=False,
)
)
self.addParameter(
QgsProcessingParameterBoolean(
self.YAXIS_LOG,
self.tr("Use logarithmic scale for y-axis"),
defaultValue=False,
)
)
self.addParameter(
QgsProcessingParameterFileDestination(
self.OUTPUT, self.tr("Scatterplot"), self.tr("HTML files (*.html)")
)
)
def name(self):
return "vectorlayerscatterplot"
def displayName(self):
return self.tr("Vector layer scatterplot")
def processAlgorithm(self, parameters, context, feedback):
try:
# importing plotly throws Python warnings from within the library - filter these out
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=ResourceWarning)
warnings.filterwarnings("ignore", category=ImportWarning)
import plotly as plt
import plotly.graph_objs as go
except ImportError:
raise QgsProcessingException(
QCoreApplication.translate(
"VectorLayerScatterplot",
"This algorithm requires the Python “plotly” library. Please install this library and try again.",
)
)
source = self.parameterAsSource(parameters, self.INPUT, context)
if source is None:
raise QgsProcessingException(
self.invalidSourceError(parameters, self.INPUT)
)
xfieldname = self.parameterAsString(parameters, self.XFIELD, context)
yfieldname = self.parameterAsString(parameters, self.YFIELD, context)
title = self.parameterAsString(parameters, self.TITLE, context)
xaxis_title = self.parameterAsString(parameters, self.XAXIS_TITLE, context)
yaxis_title = self.parameterAsString(parameters, self.YAXIS_TITLE, context)
xaxis_log = self.parameterAsBool(parameters, self.XAXIS_LOG, context)
yaxis_log = self.parameterAsBool(parameters, self.YAXIS_LOG, context)
if title.strip() == "":
title = None
if xaxis_title == "":
xaxis_title = xfieldname
elif xaxis_title == " ":
xaxis_title = None
if yaxis_title == "":
yaxis_title = yfieldname
elif yaxis_title == " ":
yaxis_title = None
output = self.parameterAsFileOutput(parameters, self.OUTPUT, context)
hoverexpression = self.parameterAsExpression(
parameters, self.HOVERTEXT, context
)
if hoverexpression.strip():
exp_context = self.createExpressionContext(parameters, context, source)
hoverexpression = QgsExpression(hoverexpression)
if hoverexpression.hasParserError():
feedback.reportError(
f"Expression evaluation error: {hoverexpression.evalErrorString()}"
)
hoverexpression = None
else:
hoverexpression = None
if xfieldname == yfieldname:
fields = [xfieldname]
else:
fields = [xfieldname, yfieldname]
values = {}
hovertext = []
for field in fields:
values[field] = []
request = QgsFeatureRequest().setFlags(QgsFeatureRequest.Flag.NoGeometry)
for feature in source.getFeatures(request):
for field in fields:
try:
v = float(feature[field])
except ValueError:
v = None
values[field].append(v)
if hoverexpression:
exp_context.setFeature(feature)
txt = str(hoverexpression.evaluate(exp_context))
if hoverexpression.hasEvalError():
txt = ""
feedback.reportError(
f"Expression evaluation error: {hoverexpression.evalErrorString()}"
)
hovertext.append(str(txt))
data = [go.Scatter(x=values[xfieldname], y=values[yfieldname], mode="markers")]
fig = go.Figure(
data=data,
layout_title_text=title,
layout_xaxis_title=xaxis_title,
layout_yaxis_title=yaxis_title,
)
if xaxis_log:
fig.update_xaxes(type="log")
if yaxis_log:
fig.update_yaxes(type="log")
if hoverexpression:
fig.update_traces(text=hovertext)
fig.write_html(output)
return {self.OUTPUT: output}