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132 lines
5.8 KiB
Python

2 years ago
import sys
from PySide6.QtWidgets import QApplication, QMainWindow, QGraphicsView
from PySide6.QtUiTools import QUiLoader
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
from PySide6.QtWidgets import QVBoxLayout
import CREAT
import numpy as np
import matplotlib as mpl
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.toolbar = None
self.canvas = None
# 加载UI文件
self.ui = QUiLoader().load('QT/PLT2.ui')
# 更新图窗
self.ui.graphicsView.repaint()
self.ui.graphicsView.update()
self.graphics_layout = QVBoxLayout(self.ui.graphicsView)
# 绘制Matplotlib图形
self.ui.pushButton_4.clicked.connect(lambda: self.plot_density())
def plot_density(self):
fig, ax = self.scene_fig()
data_name = self.ui.lineEdit.text().split(',')
level_nums = self.ui.spinBox_2.value()
gWeight = self.ui.spinBox.value()
data = CREAT.create()
zmin = 1
zmax = 0
for i in range(len(data_name)):
data.data_pre(data_name[i])
data.contours_pre(level_nums, gWeight)
"""画出密度等高线"""
f = data.f
x_min, x_max = data.x_range[0], data.x_range[1]
y_min, y_max = data.y_range[0], data.y_range[1]
levels = data.levels
xx, yy = np.mgrid[x_min:x_max:200j, y_min:y_max:200j]
# 填充等高线图中间的区域
cmap = mpl.colormaps.get_cmap('jet')
colors = cmap(np.linspace(0, 1, level_nums))
level = [levels[0], levels[-1]]
ff = ax.contourf(xx, yy, f, levels=level, colors=colors[level_nums - i - 1:level_nums - i], alpha=1,
zorder=len(data_name) - i)
zmin = min(zmin, ff.zmin)
zmax = max(zmax, ff.zmax)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_title('Density Distribution')
# 生成colorbar
sm = mpl.cm.ScalarMappable(cmap=cmap, norm=mpl.colors.Normalize(vmin=zmin, vmax=zmax))
sm.set_array([])
fig.colorbar(sm, ax=ax)
wells_name = self.ui.lineEdit_4.text()
if wells_name == '':
self.canvas_adjust(fig)
else:
wells = CREAT.well_to_edge()
wells.wells_name_and_position(wells_name)
wells.welltoedge_distance(data.contours)
"""画井位信息"""
typee = wells.type
points = wells.position
namee = wells.name
min_distance = wells.min_distance
contours_p = wells.welltoedge_points
for i in range(len(points)):
if typee[i][0] == 0:
ax.scatter(points[i][0], points[i][1], marker='o', edgecolors='black', facecolors='none', s=100)
ax.scatter(points[i][0], points[i][1], marker='o', edgecolors='black', facecolors='none', s=50,
linewidths=1)
ax.scatter(points[i][0], points[i][1], marker='o', edgecolors='black', facecolors='none', s=30)
ax.text(points[i][0] + min_distance[i] / 20, points[i][1] - min_distance[i] / 20, f'{namee[i][0]}',
fontdict={'size': '10', 'color': 'b'}, zorder=len(data_name) + 2) # 井名信息
else:
ax.scatter(points[i][0], points[i][1], marker='o', edgecolors='black', facecolors='black', s=100, zorder=len(data_name)+1)
ax.text(points[i][0] + min_distance[i] / 20, points[i][1] - min_distance[i] / 20, f'{namee[i][0]}',
fontdict={'size': '10', 'color': 'b'}, zorder=len(data_name) + 2) # 井名信息
continue
# 绘制油井边缘最短距离点的箭头并标出距离
ax.quiver(points[i][0], points[i][1], contours_p[i][0] - points[i][0], contours_p[i][1] - points[i][1],
angles='xy', scale=1.03,
scale_units='xy', width=0.002, zorder=len(data_name)+1) # 绘制箭头
ax.text(points[i][0] * 1 / 2 + contours_p[i][0] * 1 / 2 + min_distance[i] / 20,
points[i][1] * 1 / 2 + contours_p[i][1] * 1 / 2 - min_distance[i] / 20, f'{round(min_distance[i], 2)}',
fontdict={'size': '10', 'color': 'g'}) # 标出距离
# ax.text(points[i][0] * 1 / 2 + contours_p[i][0] * 1 / 2 + min_distance[i] / 20,
# points[i][1] * 1 / 2 + contours_p[i][1] * 1 / 2 - min_distance[i] / 20,
# r'$\theta$=' f'{round(wells.angle[i], 2)}', fontdict={'size': '10', 'color': 'y'}) # 标出角度
self.canvas_adjust(fig)
def scene_fig(self):
fig = Figure()
# 在Figure对象中添加子图
ax = fig.add_subplot(111)
return fig, ax
def canvas_adjust(self, fig):
if self.canvas is not None:
# 从布局中删除旧的 canvas 和 toolbar
item = self.graphics_layout.takeAt(0)
while item:
widget = item.widget()
if widget:
widget.setParent(None)
item = self.graphics_layout.takeAt(0)
self.graphics_layout.removeWidget(self.canvas)
self.canvas = FigureCanvas(fig)
self.toolbar = NavigationToolbar(self.canvas, self.ui.graphicsView)
self.toolbar.setParent(self.canvas)
self.graphics_layout.addWidget(self.canvas)
self.adjustSize()
if __name__ == '__main__':
app = QApplication([])
stats = MainWindow()
stats.ui.show()
app.exec()