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Qt for Python Tutorial: Data Visualization Tool
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import sys
import argparse
import pandas as pd
from PySide2.QtCore import (QAbstractTableModel, QDateTime, QModelIndex,
Qt, QTimeZone, Slot)
from PySide2.QtGui import QColor, QPainter
from PySide2.QtWidgets import (QAction, QApplication, QHBoxLayout, QHeaderView,
QMainWindow, QSizePolicy, QTableView, QWidget)
from PySide2.QtCharts import QtCharts
class CustomTableModel(QAbstractTableModel):
def __init__(self, data=None):
QAbstractTableModel.__init__(self)
self.color = None
self.load_data(data)
def load_data(self, data):
self.input_dates = data[0].values
self.input_magnitudes = data[1].values
self.column_count = 2
self.row_count = len(self.input_magnitudes)
def rowCount(self, parent=QModelIndex()):
return self.row_count
def columnCount(self, parent=QModelIndex()):
return self.column_count
def headerData(self, section, orientation, role):
if role != Qt.DisplayRole:
return None
if orientation == Qt.Horizontal:
return ("Date", "Magnitude")[section]
else:
return "{}".format(section)
def data(self, index, role=Qt.DisplayRole):
column = index.column()
row = index.row()
if role == Qt.DisplayRole:
if column == 0:
raw_date = self.input_dates[row]
date = "{}".format(raw_date.toPython())
return date[:-3]
elif column == 1:
return "{:.2f}".format(self.input_magnitudes[row])
elif role == Qt.BackgroundRole:
return (QColor(Qt.white), QColor(self.color))[column]
elif role == Qt.TextAlignmentRole:
return Qt.AlignRight
return None
class Widget(QWidget):
def __init__(self, data):
QWidget.__init__(self)
# Getting the Model
self.model = CustomTableModel(data)
# Creating a QTableView
self.table_view = QTableView()
self.table_view.setModel(self.model)
# QTableView Headers
resize = QHeaderView.ResizeToContents
self.horizontal_header = self.table_view.horizontalHeader()
self.vertical_header = self.table_view.verticalHeader()
self.horizontal_header.setSectionResizeMode(resize)
self.vertical_header.setSectionResizeMode(resize)
self.horizontal_header.setStretchLastSection(True)
# Creating QChart
self.chart = QtCharts.QChart()
self.chart.setAnimationOptions(QtCharts.QChart.AllAnimations)
self.add_series("Magnitude (Column 1)", [0, 1])
# Creating QChartView
self.chart_view = QtCharts.QChartView(self.chart)
self.chart_view.setRenderHint(QPainter.Antialiasing)
# QWidget Layout
self.main_layout = QHBoxLayout()
size = QSizePolicy(QSizePolicy.Preferred, QSizePolicy.Preferred)
# Left layout
size.setHorizontalStretch(1)
self.table_view.setSizePolicy(size)
self.main_layout.addWidget(self.table_view)
# Right Layout
size.setHorizontalStretch(4)
self.chart_view.setSizePolicy(size)
self.main_layout.addWidget(self.chart_view)
# Set the layout to the QWidget
self.setLayout(self.main_layout)
def add_series(self, name, columns):
# Create QLineSeries
self.series = QtCharts.QLineSeries()
self.series.setName(name)
# Filling QLineSeries
for i in range(self.model.rowCount()):
# Getting the data
t = self.model.index(i, 0).data()
date_fmt = "yyyy-MM-dd HH:mm:ss.zzz"
x = QDateTime().fromString(t, date_fmt).toMSecsSinceEpoch()
y = float(self.model.index(i, 1).data())
if x > 0 and y > 0:
self.series.append(x, y)
self.chart.addSeries(self.series)
# Setting X-axis
self.axis_x = QtCharts.QDateTimeAxis()
self.axis_x.setTickCount(10)
self.axis_x.setFormat("dd.MM (h:mm)")
self.axis_x.setTitleText("Date")
self.chart.addAxis(self.axis_x, Qt.AlignBottom)
self.series.attachAxis(self.axis_x)
# Setting Y-axis
self.axis_y = QtCharts.QValueAxis()
self.axis_y.setTickCount(10)
self.axis_y.setLabelFormat("%.2f")
self.axis_y.setTitleText("Magnitude")
self.chart.addAxis(self.axis_y, Qt.AlignLeft)
self.series.attachAxis(self.axis_y)
# Getting the color from the QChart to use it on the QTableView
self.model.color = "{}".format(self.series.pen().color().name())
def transform_date(utc, timezone=None):
utc_fmt = "yyyy-MM-ddTHH:mm:ss.zzzZ"
new_date = QDateTime().fromString(utc, utc_fmt)
if timezone:
new_date.setTimeZone(timezone)
return new_date
def read_data(fname):
# Read the CSV content
df = pd.read_csv(fname)
# Remove wrong magnitudes
df = df.drop(df[df.mag < 0].index)
magnitudes = df["mag"]
# My local timezone
timezone = QTimeZone(b"Europe/Berlin")
# Get timestamp transformed to our timezone
times = df["time"].apply(lambda x: transform_date(x, timezone))
return times, magnitudes
class MainWindow(QMainWindow):
def __init__(self, widget):
QMainWindow.__init__(self)
self.setWindowTitle("Eartquakes information")
# Menu
self.menu = self.menuBar()
self.file_menu = self.menu.addMenu("File")
# Exit QAction
exit_action = QAction("Exit", self)
exit_action.setShortcut("Ctrl+Q")
exit_action.triggered.connect(self.exit_app)
self.file_menu.addAction(exit_action)
# Status Bar
self.status = self.statusBar()
self.status.showMessage("Data loaded and plotted")
# Window dimensions
geometry = app.desktop().availableGeometry(self)
self.setFixedSize(geometry.width() * 0.8, geometry.height() * 0.7)
self.setCentralWidget(widget)
@Slot()
def exit_app(self, checked):
sys.exit()
if __name__ == "__main__":
options = argparse.ArgumentParser()
options.add_argument("-f", "--file", type=str, required=True)
args = options.parse_args()
data = read_data(args.file)
# Qt Application
app = QApplication(sys.argv)
# QWidget
widget = Widget(data)
# QMainWindow using QWidget as central widget
window = MainWindow(widget)
window.show()
sys.exit(app.exec_())