The following codes is to plot contours from five (slider: 0 ~ 4) .xlsx files on tkinter
. Each file just contains numerical data in the matrix 12X6 such as
from tkinter import * import tkinter.ttk as ttk import matplotlib import matplotlib.pyplot as plt from matplotlib import cm import numpy as np import ipywidgets as wg import os import pandas as pd from matplotlib.ticker import MaxNLocator from matplotlib.colors import BoundaryNorm import math from matplotlib.ticker import LinearLocator %matplotlib widget from matplotlib.widgets import Slider from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg matplotlib.use('TkAgg') root = Tk() root.title('TEST') root.geometry("800x800") def plot_noise(): rec = np.shape(dfs[0]) rmm = np.concatenate([dfs[0], dfs[1]]) for jj in range(2,num): rmm = np.concatenate([rmm, dfs[jj]]) # =================================================PLOT=========================================== fig = plt.Figure() canvas = FigureCanvasTkAgg(fig, root) canvas.get_tk_widget().grid(row=3, column=0, columnspan=3, rowspan=3, sticky=W+E+N+S, padx=0, pady=0) # ===============================================contourf========================================= ax = fig.add_subplot(111) fig.subplots_adjust(bottom=0.25) X = np.arange(1,rec[1]+1,1) Y = np.arange(1,rec[0]+1,1) x , y = np.meshgrid(X,Y) # ==============================================color bar========================================= cbar_max = math.floor(np.min(rmm)) cbar_min = math.ceil(np.max(rmm)) cbar_num_colors = 200 cbar_num_format = "%d" levels = MaxNLocator(nbins=cbar_num_colors).tick_values(cbar_min, cbar_max) # ============================================Initial plot======================================== con = ax.contourf(x,y,dfs[1], levels = levels, cmap=cm.jet, alpha = 0.5, antialiased = True) cbar = fig.colorbar(con,ax = ax) ax.axis([1, 12, 1, 6]) # ================================================Slider========================================== global slider_de slider_bar = fig.add_axes([0.12, 0.1, 0.78, 0.03]) slider_de = Slider(slider_bar, 's_bar', 0, num-1, valinit=1,valfmt='%0.0f', valstep=1) num_on_slider = [] def update(val): num_on_slider.append(slider_de.val) for ii in range(0,num): if num_on_slider[-1] == ii: con = ax.contourf(x,y,dfs[ii], levels = levels, cmap=cm.jet, alpha = 0.5, antialiased = True) cbar = fig.colorbar(con,ax = ax) ax.axis([1, 12, 1, 6]) slider_de.on_changed(update) # =================================================GUI - Tkinter======================================= resultButton = ttk.Button(root, text = 'show', command = plot_noise) resultButton.grid(column=0, row=1, pady=15, sticky=W) root.mainloop()
When running it, I got
Now, if I use fig.clf
, for example
fig.clf() con = ax.contourf(x,y,dfs[ii], levels = levels, cmap=cm.jet, alpha = 0.5, antialiased = True) cbar = fig.colorbar(con,ax = ax)
I got
The contour disappeared. I also tried from matplotlib.figure import Figure
instead of pyplot; however, it does not work.
How to fix this odd problem?
Any advices please, thanks!
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Answer
Refactored code into a class and added feature to select folder. Other ideas are in the comments.
#Do not use wild imports import tkinter as tk import tkinter.ttk as ttk import matplotlib import matplotlib.pyplot as plt from matplotlib import cm import numpy as np import ipywidgets as wg import os import pandas as pd from matplotlib.ticker import MaxNLocator from matplotlib.colors import BoundaryNorm import math from matplotlib.ticker import LinearLocator from matplotlib.widgets import Slider from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg matplotlib.use('TkAgg') class MyPlot(ttk.Frame): def __init__(self, parent): super().__init__() #put widgets in frame(self) resultButton = ttk.Button(self, text = 'Select Folder', command = self.select_dir) resultButton.grid(column=0, row=1, pady=15, sticky=tk.W) # show frame in root self.grid(column=0, row=0) def select_dir(self): selected_dir = tk.filedialog.askdirectory(parent=self, title='Select a directory') # print(selected_dir) if selected_dir: self.plot_noise(selected_dir) else: tk.messagebox.showerror('Select', 'Select a directory', parent=self) def plot_noise(self, folder): # ============================================Read .xlsx file===================================== files = os.listdir(folder) dfs = {} # Prepare for scenarios where files(other than the expected .xlsx) are in the folder passed # when that is the case the enumerated i previously being used to create dict keys will get all messed up index = 0 for file in files: if file.endswith('.xlsx'): dfs[index] = pd.read_excel(os.path.join(folder,file), sheet_name='Z=143', header = None, skiprows=[0], usecols = "B:M") index += 1 if dfs: num = len(dfs) rec = np.shape(dfs[0]) rmm = np.concatenate([dfs[0], dfs[1]]) for jj in range(2,num): rmm = np.concatenate([rmm, dfs[jj]]) # =================================================PLOT=========================================== fig, ax = plt.subplots() canvas = FigureCanvasTkAgg(fig, self) canvas.get_tk_widget().grid(row=3, column=0, columnspan=3, rowspan=3, sticky=tk.W+tk.E+tk.N+tk.S, padx=0, pady=0) # ===============================================contourf========================================= fig.subplots_adjust(bottom=0.25) X = np.arange(1,rec[1]+1,1) Y = np.arange(1,rec[0]+1,1) x , y = np.meshgrid(X,Y) # ==============================================color bar========================================= cbar_max = math.floor(np.min(rmm)) cbar_min = math.ceil(np.max(rmm)) cbar_num_colors = 200 cbar_num_format = "%d" levels = MaxNLocator(nbins=cbar_num_colors).tick_values(cbar_min, cbar_max) # ============================================Initial plot======================================== con = ax.contourf(x,y,dfs[1], levels = levels, cmap=cm.jet, alpha = 0.5, antialiased = True) cbar = fig.colorbar(con,ax = ax) ax.axis([1, 12, 1, 6]) # ================================================Slider========================================== slider_bar = fig.add_axes([0.12, 0.1, 0.78, 0.03]) slider_de = Slider(slider_bar, 's_bar', 0, num-1, valinit=1,valfmt='%0.0f', valstep=1) num_on_slider = [] def update(val): num_on_slider.append(slider_de.val) for ii in range(0,num): if num_on_slider[-1] == ii: con = ax.contourf(x,y,dfs[ii], levels = levels, cmap=cm.jet, alpha = 0.5, antialiased = True) ax.axis([1, 12, 1, 6]) slider_de.on_changed(update) else: tk.messagebox.showerror('No File', 'No .xlsx file found') # =================================================GUI - Tkinter======================================= root = tk.Tk() root.title('TEST') root.geometry("800x800") MyPlot(root) root.mainloop()