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!
- 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?!)
- 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()
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()
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