python tkinter matplotlib - Axes labels not displaying-CodePudding

Edited to include example code and image.

I am trying to embed a matplotlib figure on a tkinter GUI. I am able to see the plot, but the axes labels are not displaying as I would hope. Here is the code I'm using to add the plots:

import os
import tkinter as tk
from tkinter import ttk

import matplotlib
from matplotlib import pyplot as plt
from matplotlib.axes import Axes
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg


if os.environ.get("DISPLAY") is not None:
    matplotlib.use("TkAgg")


class MyGUI(ttk.Frame):
    def __init__(self, parent):
        ttk.Frame.__init__(self)

        x_data = [0, 0.5, 1, 1.5, 2, 2.5, 3]
        y_data = [0, 0.25, 1, 2.25, 4, 6.25, 9]

        self.report_frame = ttk.Frame(self, padding=(20, 10))
        self.report_frame.pack(expand=1, fill="both")
        fig1 = plt.figure(figsize=(3.5, 3), dpi=100)
        ax1: Axes = fig1.add_subplot(111)
        ax1.plot(x_data, y_data, "b-")
        ax1.set_title("Plot Title")
        ax1.set_xlabel("X axis Label")
        ax1.set_xlim([0, 3])
        ax1.set_ylabel("Y axis Label")
        ax1.set_ylim([0, 9])

        fig1_canvas = FigureCanvasTkAgg(fig1, self.report_frame)
        fig1_canvas.get_tk_widget().grid(row=0, column=0, sticky="nw")


if __name__ == "__main__":
    root = tk.Tk()
    root.title("Plot Test")

    app = MyGUI(root)
    app.pack()
    root.mainloop()

The resulting image looks like this:

The Y-axis label is visible here, but the X-axis label is cut off. I'm trying to figure out the syntax to adjust the view so that the entire figure including labels is visible in the Frame.

CodePudding user response：

I like your answer as it is simple and does what you need. If you want further control (on every aspect of the figure) you can use plt.subplots_adjust

CodePudding user response：

I found that adding constrained_layout=True to the figure creation worked for my purpose.

fig1 = plt.figure(figsize=(3.5, 3), dpi=100, constrained_layout=True)

I am still interested in other methods for adjusting the figure view.