DIbugraf graphic in Canvas. Tkinter, Python 3.6

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DIbugraf graphic in Canvas. Tkinter, Python 3.6

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Hello, I have a problem when it comes to representing graphics, I'm using Python, specifically the Tkinter library. I have a series of data in an excel file that I export with python to a dataframe:

file = pd.read_excel('Usuarios.xlsx')
df = pd.DataFrame(file)

Now with that data I would like to extract several graphics (bars, histogram, etc ...) and represent them in a desktop application. How can I represent them in a FRAME or CANVAS object in which I can scroll down and draw 3 or 4 graphics without any problems?

python canvas tkinter

asked by Alfredo Lopez Rodes 27.08.2018 в 16:55

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How can I solve this type of error when testing? as I do a search engine that finds a div

score 0 · Accepted Answer

It is relatively simple to embed Matplotlib in a Tkinter App because Matplotlib provides a backend for it. In particular we can embed any figure by using matplotlib.backends.backend_tkagg.FigureCanvasTkAgg as a container.

Personally I prefer to use a Canvas with a Frame in the interior in which we position the widgets or widgets (if we have several figures) FigureCanvasTkAgg . Scroll bars are associated with the canvas by Canvas.xview and Canvas.yview . On the other hand, it is necessary to establish a method that allows to redefine the scroll limits of the Canvas when the content of the Frame interior changes.

I leave a very simple example without using POO to serve as your base:

import tkinter as tk
from tkinter import ttk

import matplotlib
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import pandas as pd


# DataFrame para ejemplo
df = pd.DataFrame({"Foo": (1, 5, 8, 7, 5, 1, 5),
                   "Bar": (4.25, 5, 6, 1.3, 1, 2.6, 3.7)}
                  )

# Creamos una figura y añadimos algunas gráficas en subplots
fig1 = Figure(figsize=(5, 5), dpi=100)
ax1 = fig1.add_subplot(311)
ax2 = fig1.add_subplot(312)
ax3 = fig1.add_subplot(313)
df.plot(ax=ax1)
df.plot.bar(ax=ax2)
df.plot.area(ax=ax3)


# Ventana principal
root = tk.Tk()

# Canvas  y barras de desplazamiento
canvas = tk.Canvas(root, borderwidth=0, background="#ffffff")
hsb = tk.Scrollbar(root, orient="horizontal", command=canvas.xview)                 
vsb = tk.Scrollbar(root, orient="vertical", command=canvas.yview)
canvas.configure(xscrollcommand=hsb.set)
canvas.configure(yscrollcommand=vsb.set)
hsb.pack(side="bottom", fill="x")
vsb.pack(side="right", fill="y")
canvas.pack(side="left", fill="both", expand=True)

# Vamos a usar un ttk.Labelframe para contener FigureCanvasTkAgg
plot_frame = ttk.Labelframe(canvas, text='Plots')
canvas.create_window((4,4), window=plot_frame, anchor="nw", tags="plot_frame")
plot_frame.bind("<Configure>",
                lambda event: canvas.configure(scrollregion=canvas.bbox("all"))
                )

# Creamos una instancia de FigureCanvas que renderizará la figura
canvas1 = FigureCanvasTkAgg(fig1, master=plot_frame)
canvas1.draw()
canvas1.get_tk_widget().grid(row=0, column=0)

root.mainloop()