python3+PyQt5实现柱状图

yipeiwu_com5年前Python基础

本文通过Python3+pyqt5实现了python Qt GUI 快速编程的16章的excise例子。

#!/usr/bin/env python3

import random
import sys
from PyQt5.QtCore import (QAbstractListModel, QAbstractTableModel,
  QModelIndex, QSize, QTimer, QVariant, Qt,pyqtSignal)
from PyQt5.QtWidgets import (QApplication, QDialog, QHBoxLayout,
  QListView, QSpinBox, QStyledItemDelegate,QStyleOptionViewItem, QWidget)
from PyQt5.QtGui import QColor,QPainter,QPixmap

class BarGraphModel(QAbstractListModel):
 dataChanged=pyqtSignal(QModelIndex,QModelIndex)
 def __init__(self):
  super(BarGraphModel, self).__init__()
  self.__data = []
  self.__colors = {}
  self.minValue = 0
  self.maxValue = 0


 def rowCount(self, index=QModelIndex()):
  return len(self.__data)


 def insertRows(self, row, count):
  extra = row + count
  if extra >= len(self.__data):
   self.beginInsertRows(QModelIndex(), row, row + count - 1)
   self.__data.extend([0] * (extra - len(self.__data) + 1))
   self.endInsertRows()
   return True
  return False


 def flags(self, index):
  #return (QAbstractTableModel.flags(self, index)|Qt.ItemIsEditable)
  return (QAbstractListModel.flags(self, index)|Qt.ItemIsEditable)

 def setData(self, index, value, role=Qt.DisplayRole):
  row = index.row()
  if not index.isValid() or 0 > row >= len(self.__data):
   return False
  changed = False
  if role == Qt.DisplayRole:
   value = value
   self.__data[row] = value
   if self.minValue > value:
    self.minValue = value
   if self.maxValue < value:
    self.maxValue = value
   changed = True
  elif role == Qt.UserRole:
   self.__colors[row] = value
   #self.emit(SIGNAL("dataChanged(QModelIndex,QModelIndex)"),
   #   index, index)
   self.dataChanged[QModelIndex,QModelIndex].emit(index, index)
   changed = True
  if changed:
   #self.emit(SIGNAL("dataChanged(QModelIndex,QModelIndex)"),
    #   index, index)
   self.dataChanged[QModelIndex,QModelIndex].emit(index, index)
  return changed


 def data(self, index, role=Qt.DisplayRole):
  row = index.row()
  if not index.isValid() or 0 > row >= len(self.__data):
   return QVariant()
  if role == Qt.DisplayRole:
   return self.__data[row]
  if role == Qt.UserRole:
   return QVariant(self.__colors.get(row,
     QColor(Qt.red)))
  if role == Qt.DecorationRole:
   color = QColor(self.__colors.get(row,
     QColor(Qt.red)))
   pixmap = QPixmap(20, 20)
   pixmap.fill(color)
   return QVariant(pixmap)
  return QVariant()


class BarGraphDelegate(QStyledItemDelegate):

 def __init__(self, minimum=0, maximum=100, parent=None):
  super(BarGraphDelegate, self).__init__(parent)
  self.minimum = minimum
  self.maximum = maximum


 def paint(self, painter, option, index):
  myoption = QStyleOptionViewItem(option)
  myoption.displayAlignment |= (Qt.AlignRight|Qt.AlignVCenter)
  QStyledItemDelegate.paint(self, painter, myoption, index)


 def createEditor(self, parent, option, index):
  spinbox = QSpinBox(parent)
  spinbox.setRange(self.minimum, self.maximum)
  spinbox.setAlignment(Qt.AlignRight|Qt.AlignVCenter)
  return spinbox


 def setEditorData(self, editor, index):
  value = index.model().data(index, Qt.DisplayRole)
  editor.setValue(value)


 def setModelData(self, editor, model, index):
  editor.interpretText()
  model.setData(index, editor.value())


class BarGraphView(QWidget):

 WIDTH = 20

 def __init__(self, parent=None):
  super(BarGraphView, self).__init__(parent)
  self.model = None


 def setModel(self, model):
  self.model = model
  #self.connect(self.model,
  #  SIGNAL("dataChanged(QModelIndex,QModelIndex)"),
  #  self.update)
  self.model.dataChanged[QModelIndex,QModelIndex].connect(self.update)
  #self.connect(self.model, SIGNAL("modelReset()"), self.update)
  self.model.modelReset.connect(self.update)


 def sizeHint(self):
  return self.minimumSizeHint()


 def minimumSizeHint(self):
  if self.model is None:
   return QSize(BarGraphView.WIDTH * 10, 100)
  return QSize(BarGraphView.WIDTH * self.model.rowCount(), 100)


 def paintEvent(self, event):
  if self.model is None:
   return
  painter = QPainter(self)
  painter.setRenderHint(QPainter.Antialiasing)
  span = self.model.maxValue - self.model.minValue
  painter.setWindow(0, 0, BarGraphView.WIDTH * self.model.rowCount(),
       span)
  for row in range(self.model.rowCount()):
   x = row * BarGraphView.WIDTH
   index = self.model.index(row)
   color = QColor(self.model.data(index, Qt.UserRole))
   y = self.model.data(index)
   painter.fillRect(x, span - y, BarGraphView.WIDTH, y, color)


class MainForm(QDialog):

 def __init__(self, parent=None):
  super(MainForm, self).__init__(parent)

  self.model = BarGraphModel()
  self.barGraphView = BarGraphView()
  self.barGraphView.setModel(self.model)
  self.listView = QListView()
  self.listView.setModel(self.model)
  self.listView.setItemDelegate(BarGraphDelegate(0, 1000, self))
  self.listView.setMaximumWidth(100)
  self.listView.setEditTriggers(QListView.DoubleClicked|
          QListView.EditKeyPressed)
  layout = QHBoxLayout()
  layout.addWidget(self.listView)
  layout.addWidget(self.barGraphView, 1)
  self.setLayout(layout)

  self.setWindowTitle("Bar Grapher")
  QTimer.singleShot(0, self.initialLoad)


 def initialLoad(self):
  # Generate fake data
  count = 20
  self.model.insertRows(0, count - 1)
  for row in range(count):
   value = random.randint(1, 150)
   color = QColor(random.randint(0, 255), random.randint(0, 255),
       random.randint(0, 255))
   index = self.model.index(row)
   self.model.setData(index, value)
   self.model.setData(index, QVariant(color), Qt.UserRole)


app = QApplication(sys.argv)
form = MainForm()
form.resize(600, 400)
form.show()
app.exec_()

运行结果:

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

python3解析库lxml的安装与基本使用

前言 在爬虫的学习中,我们爬取网页信息之后就是对信息项匹配,这个时候一般是使用正则。但是在使用中发现正则写的不好的时候不能精确匹配(这其实是自己的问题!)所以就找啊找。想到了可以通过标签...

python使用matplotlib绘制柱状图教程

python使用matplotlib绘制柱状图教程

Matplotlib的概念这里就不多介绍了,关于绘图库Matplotlib的安装方法:点击这里 小编之前也和大家分享过python使用matplotlib实现的折线图和制饼图效果,感兴趣...

在python中利用opencv简单做图片比对的方法

下面代码中利用了两种比对的方法,一 对图片矩阵(m x m)求解特征值,通过比较特征值是否在一定的范围内,判断图片是否相同。二 对图片矩阵(m x m)中1求和,通过比较sum和来比较图...

Python中Numpy mat的使用详解

前面介绍过用dnarray来模拟,但mat更符合矩阵,这里的mat与Matlab中的很相似。(mat与matrix等同) 基本操作 >>> m= np.mat([1...

numpy数组做图片拼接的实现(concatenate、vstack、hstack)

两种方法拼接 #img = np.vstack((img, img2)) # vstack按垂直方向,hstack按水平方向 img = np.concatenate((img,...