new

.idea/misc.xml

@@ -3,5 +3,5 @@
   <component name="JavaScriptSettings">
     <option name="languageLevel" value="ES6" />
   </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (venv) (2)" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (venv)" project-jdk-type="Python SDK" />
 </project>

.idea/pythonbook.iml

@@ -1,8 +1,10 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <module type="PYTHON_MODULE" version="4">
   <component name="NewModuleRootManager">
-    <content url="file://$MODULE_DIR$" />
-    <orderEntry type="inheritedJdk" />
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/venv" />
+    </content>
+    <orderEntry type="jdk" jdkName="Python 3.9 (venv)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
 </module>

test.py

@@ -1,57 +1,10 @@
+import pandas as pd
 
-# -*- coding: utf-8 -*-
-import sympy
-import numpy as np
-import math
-from matplotlib.pyplot import plot
-from matplotlib.pyplot import show
-import matplotlib.pyplot as plt
-import matplotlib
+data = {
+  "name": ["a1", "a2", "a3"],
+  "age": [50, 60, 70]
+}
 
-# 解决无法显示中文问题，fname是加载字体路径，根据自身pc实际确定，具体请百度
-# zhfont1 = matplotlib.font_manager.FontProperties(fname='/System/Library/Fonts/Hiragino Sans GB W3.ttc')
+df = pd.DataFrame(data, index = ["c1", "c2", "c3"])
 
-# 随机产生3个参考节点坐标
-maxy = 1000
-maxx = 1000
-cx = maxx * np.random.rand(3)
-cy = maxy * np.random.rand(3)
-dot1 = plot(cx, cy, 'k^')
-
-# 生成盲节点，以及其与参考节点欧式距离
-mtx = maxx * np.random.rand()
-mty = maxy * np.random.rand()
-# plt.hold('on')
-dot2 = plot(mtx, mty, 'go')
-da = math.sqrt(np.square(mtx - cx[0]) + np.square(mty - cy[0]))
-db = math.sqrt(np.square(mtx - cx[1]) + np.square(mty - cy[1]))
-dc = math.sqrt(np.square(mtx - cx[2]) + np.square(mty - cy[2]))
-
-
-# 计算定位坐标
-def triposition(xa, ya, da, xb, yb, db, xc, yc, dc):
-    x, y = sympy.symbols('x y')
-    f1 = 2 * x * (xa - xc) + np.square(xc) - np.square(xa) + 2 * y * (ya - yc) + np.square(yc) - np.square(ya) - (
-                np.square(dc) - np.square(da))
-    f2 = 2 * x * (xb - xc) + np.square(xc) - np.square(xb) + 2 * y * (yb - yc) + np.square(yc) - np.square(yb) - (
-                np.square(dc) - np.square(db))
-    result = sympy.solve([f1, f2], [x, y])
-    locx, locy = result[x], result[y]
-    return [locx, locy]
-
-
-# 解算得到定位节点坐标
-[locx, locy] = triposition(cx[0], cy[0], da, cx[1], cy[1], db, cx[2], cy[2], dc)
-# plt.hold('on')
-dot3 = plot(locx, locy, 'r*')
-
-# 显示脚注
-x = [[locx, cx[0]], [locx, cx[1]], [locx, cx[2]]]
-y = [[locy, cy[0]], [locy, cy[1]], [locy, cy[2]]]
-for i in range(len(x)):
-    plt.plot(x[i], y[i], linestyle='--', color='g')
-plt.title('Three point locate')
-plt.legend(['Ref', '盲节点', 'Locate'], loc='lower right')
-plt.show()
-derror = math.sqrt(np.square(locx - mtx) + np.square(locy - mty))
-print(derror)
+print(df)