easy-gui 0.4.10

Easy Python GUI applications (tkinter wrapper)

easy_gui

easy_gui is a high-level Python library designed to simplify the process of creating GUI applications by wrapping tkinter. Solving problems is tricky enough... using our solutions should be EASY!

Features

• Quickly and easily build a GUI by subclassing easy_gui.EasyGUI
• Add easy_gui Widget objects (check out widgets.py for details on each):
  • Button, CanvasButton, Label, Entry, LabelEntry, CheckBox, DropDown, ListBox, Table, Tree, Slider, MatplotlibPlot, Canvas, ProgressBar, ScrolledText, StdOutBox, DatePicker
• Create one or more Sections (including nested Sections) to help organize GUI elements
• CSS Grid-style layouts
• Simply create a popup window using EasyGUI.popup()
• Simply create popup tooltips for widgets using Widget.add_tooltip()
• Multithreading for GUI responsiveness (set "separate_thread=True" when creating a Button Widget)
• Easy to install with few dependancies - just matplotlib (but you want to make plots anyway, right?!)

Quickstart

• Installing easy_gui is easy enough. Simply use pip:

pip install easy_gui

• To create an application with easy_gui, subclass the easy_gui.EasyGUI class and add elements in the init method.

• Here is the most simple example:

import easy_gui

class GUI(easy_gui.EasyGUI):
    def __init__(self):
        self.add_widget(type='label', text='Example Label')
        self.add_widget(type='button', text='Button', command_func=lambda x: print('TEST'))

application = GUI()

• Now for a more substantial example that also shows CSS-style layout capabilities. See the script examples/simple_gui.py for this code with additional explanatory comments:

import easy_gui

class GUI(easy_gui.EasyGUI):
    def __init__(self):
        self.title('Animal Diet Generator')
        self.geometry("425x170")

        section = self.add_section('example_section')
        section.configure_grid(['title             title         output',
                                'label1            entry1        output',
                                'label2            entry2        output',
                                'run_button      run_button      output'])
        section.add_widget(type='label', text='Animal Diet Generator!', grid_area='title')
        section.add_widget(type='label', text='Animal:', grid_area='label1')
        self.animal = section.add_widget(type='entry', grid_area='entry1')
        section.add_widget(type='label', text='Food:', grid_area='label2')
        self.food = section.add_widget(type='entry', grid_area='entry2')
        section.add_widget(type='stdout', grid_area='output')
        section.add_widget(type='button', text='Generate Diet!', grid_area='run_button', command_func=self.diet)

    def diet(self, event):
        print(f'The {self.animal.get()} likes to eat {self.food.get()}!')

application = GUI()

More Firepower

The toy examples above show the basics for getting started. Below is a more robust example for what a simple tool could look like. This example highlights a number of powerful features such as:

• CSS-style grid layouts (literally make a picture of what you want to see with a list of strings)
• Flexible, high-level Widgets that are quick to add or manipulate
• Quick and easy popup window using with self.popup() as popup:

import easy_gui
import random
from matplotlib.figure import Figure


class GUI(easy_gui.EasyGUI):
  def __init__(self):
      self.title('Data Generator')
      self.geometry("800x550")

      self.configure_grid(['check   data_gen   info',
                                 'tree       tree        data',
                                 'tree       tree        plot'])

      self.parabolic = self.add_widget('checkbox', 'Parabolic Data', grid_area='check')
      self.add_widget('btn', 'Generate New Data', grid_area='data_gen', use_ttk=True, command_func=self.generate_data)
      self.add_key_trigger('new', self.generate_data)
      print('Also can generate new data by simply typing "new"!')

      info = self.add_section(grid_area='info')
      info.configure_grid([' .        title     . ',
                                 'mean   min  max'])
      info.add_widget('lbl', 'Data Information', underline=True, bold=True, grid_area='title')
      self.mean = info.add_widget('lbl', 'Mean:', grid_area='mean')
      self.min = info.add_widget('lbl', 'Minimum:', grid_area='min')
      self.max = info.add_widget('lbl', 'Maximum:', grid_area='max')

      self.tree = self.add_widget('tree', grid_area='tree', height=10)
      self.tree.bind_select(self.refresh_display)

      self.table = self.add_widget('table', rows=2, columns=11, border=True, grid_area='data')
      self.table[1, 1] = 'X Values'
      self.table[2, 1] = 'Y Values'

      self.plot = self.add_widget('matplotlib', grid_area='plot')

      self.add_menu(commands={}, cascades={'Data': {'Save Data to CSV': self.save_data}})

      self.data_sets = []  # store all generated datasets in this list
      self.generate_data()  # start with one initial dataset


  def current_data(self):
      name, x_vals, y_vals = [tup for tup in self.data_sets if tup[0] == self.tree.current_row['text']][0]
      return name, x_vals, y_vals

  def refresh_tree(self, *args):
      self.tree.clear()
      for name, x_vals, y_vals in self.data_sets:
          self.tree.insert_row(name)
      self.tree.select_first_row()
      self.refresh_display()

  def refresh_display(self, *args):
      name, x_vals, y_vals = self.current_data()

      # Update summary info at top
      self.mean.set(f'Mean: {round(sum(y_vals) / len(y_vals), 1)}')
      self.min.set(f'Minimum: {min(y_vals)}')
      self.max.set(f'Maximum: {max(y_vals)}')

      # Update table with current data
      for index, (x, y) in enumerate(zip(x_vals, y_vals)):
          self.table[1, index+2] = x
          self.table[2, index+2] = y

      # Update the plot
      fig = Figure(figsize=(5, 3), dpi=100)
      ax = fig.add_subplot(111)
      ax.set_title('Plot of X and Y Values')
      ax.scatter(x_vals, y_vals)
      self.plot.draw_plot(mpl_figure=fig)

  def generate_data(self, *args):
      x_vals = list(range(1, 11))
      if not self.parabolic.get():
          y_vals = [round(x + random.random() * 2, 1) for x in x_vals]
      else:
          y_vals = [round((x - 5 + random.random()) ** 2, 1) for x in x_vals]
      self.data_sets.append((f'Dataset {len(self.data_sets)+1}' + (' (Parabolic)' if self.parabolic.get() else ''), x_vals, y_vals))
      self.refresh_tree()

      with self.popup() as popup:
          popup.geometry('200x80')
          popup.add_widget('lbl', 'New data generated!', bold=True)

  def save_data(self, *args):
      with open('Moderate GUI Data.csv', 'w') as f:
          f.write('Dataset,X_Values,Y_Values\n')
          for name, x_vals, y_vals in self.data_sets:
              for x, y in zip(x_vals, y_vals):
                  f.write(f'{name},{x},{y}\n')
      print('Data saved to CSV file!')



if __name__ == '__main__':
  GUI()

License

MIT