math : matplot with subplots ok
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JFSphoto.py
25
JFSphoto.py
@ -19,6 +19,7 @@ import time
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from matplotlib import cm
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from matplotlib.ticker import LinearLocator, FormatStrFormatter
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from mpl_toolkits.mplot3d import Axes3D
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from matplotlib.backend_bases import key_press_handler
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from tkinter import ttk
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import CCDpanelsetup as panel
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from sklearn.metrics import r2_score
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@ -398,6 +399,14 @@ class Jfsphoto (object):
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def do_math(self,panel):
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def onclick(event):
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print('%s click: button=%d, xdata=%f, ydata=%f' %('double' if event.dblclick else 'single', event.button,
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event.xdata, event.ydata))
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def on_key_press(event):
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print("you pressed {}".format(event.key))
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key_press_handler(event, self.canvas, self.toolbar1)
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#print(panel.SHvalue.get())
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#panel.bcollect.invoke()
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stati = [("Raw",1),("Raw + Baseline",2),("Transmission",4),("Absorbanz",3)]
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@ -425,12 +434,19 @@ class Jfsphoto (object):
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self.ctr_right.grid(row=0, column=1, sticky="ns")
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self.fig = plt.Figure(figsize=(8,4),dpi=120)
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plt.rc('legend',fontsize=8)
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self.ax1 = self.fig.add_subplot(111)
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self.ax1 = self.fig.add_subplot(2,3,(1,5))
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self.ax2 = self.fig.add_subplot(2,3,3)
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self.canvas = FigureCanvasTkAgg(self.fig, master = self.ctr_mid)
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self.canvas._tkcanvas.pack(side = tk.TOP, fill = tk.BOTH, expand = 1)
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self.toolbarFrame = tk.Frame(master=self.center,padx=5,pady=5)
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self.toolbarFrame.grid(row=1,columnspan=2, sticky="w")
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self.toolbar1 = NavigationToolbar2Tk(self.canvas, self.toolbarFrame)
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self.canvas.mpl_connect("key_press_event", on_key_press)
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self.canvas.mpl_connect('button_press_event', onclick)
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#### Buttons
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n = 0
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for txt,val in stati:
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@ -553,13 +569,16 @@ class Jfsphoto (object):
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def look(self):
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self.ax1.clear()
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if self.proji3d==True:
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self.ax1 = self.fig.gca(projection='3d')
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self.ax1 = self.fig.add_subplot(2,3,(1,5),projection='3d')
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#self.ax1 = self.fig.gca(projection='3d')
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else:
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self.ax1 = self.fig.add_subplot(111)
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self.ax1 = self.fig.add_subplot(2,3,(1,5))
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if self.ok.get()==1:
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for xx in self.col_list:
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if self.proji3d==True:
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self.ax1.set_ylabel('points')
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self.df.plot(x= 'nmscale',y = xx, zs= int(xx), linewidth=0.6,ax=self.ax1)
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else:
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self.df.plot(x = 'nmscale',y = xx, linewidth=0.6,ax=self.ax1)
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elif self.ok.get()==2:
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