garden.matplotlib | Matplotlib backends using kivy | Data Visualization library

I am building an app which shows the sales achieved by a salesman on different time periods. There are 4 checkboxes with different time periods (Day, Week, Month, Year). Upon clicking on any period, a matplotlib time-line graph will be shown.

My struggle comes as I am trying to format the y-ticks as thousands. I am using the format(value, ',') command. However I keep getting the TypeError: '<' not supported between instances of 'str' and 'int' . Upon research I've found the suggestion is to explicitly state the value as int. I've tried this in multiple ways but have no success. For example, If I add an int() to convert from string to int: int(format(divider * 1, ',')) I get the error ValueError: invalid literal for int() with base 10: '150,000'

Code for minimal reproducible example is the following:

Python code:

I am currently creating a mobile app with KivyMD which serves for managing travel expense requests. The user will enter a desired requested amount for different types of expenses on an MDTextField. I want to add a donut graph made with patplotlib into an MDBoxLayout. Such graph should automatically update as the request is filled. (For clarity I will include a screenshot. The square in red is the desired location for my graph).

I created a method called update_method_graph and used fixed numbers and I can successfully create a Plot, however I have not been successful on adding such graph on the app. Once I can succesfully add the graph to my app I will link such values to the requests added by the user. For now my concern is to add the graph correctly. Of course the finished code will not include the plt.show() line, the graph should be updated directly on the app.

As for now, when I close the window of the graph, my code shows an error in

I've writing a Kivy App which will display a graph of a Pandas DataFrame via kivy.garden.matplotlib.backend_kivyagg, and on a button press regenerate the graph (showing different data) based on other inputs in the UI. When I run my program it generates the first graph just fine. But pressing the button does not change the graph, even though I've called plt.clf(), generated a new DataFrame, and called plot() on that DataFrame. Any pointers would be greatly appreciated!

I would like to show the textfield input from screen Eingabe in the label from the second screen Ausgabe. I do not understand the reference from the kivy language. Thanks! I always get an error:

i tried to show a plot in second screen after i clicked the button in the first screen. this is the code that i tried. import kivy from kivy.app import App from kivy.uix.label import Label from kivy.uix.gridlayout import GridLayout from kivy.uix.textinput import TextInput from kivy.uix.button import Button from kivy.uix.boxlayout import BoxLayout from kivy.properties import ObjectProperty from kivy.lang import Builder from kivy.uix.screenmanager import ScreenManager, Screen from kivy.garden.matplotlib.backend_kivyagg import FigureCanvasKivyAgg from kivy.uix.widget import Widget from pandas import read_excel import matplotlib.pyplot as plt

Starting to learn Kivy, I want to create a simple application consisting of a start page (very simple) and a second page where I plot data with a button to delete the old plot and display a new plot.

After some problems to control the size and position of the plot widget, I can show the 2 pages and the buttons. The problem is when I click on the "Update button", a new plot is displayed, but a second figure is added next to the old one. The same kind of problem appears when I return to the second page several times. Do you have any idea on how to reuse the old figure and update/reset it or how to fix this ?

Here is my code :

i'm creating an app with a Kivy GUI. I would like to collect some data from a screen and then save those data for a plot in a final screen called "output", maybe using matplotlib. I'm really new at coding and i cant figure out how to save the data from the "LtpLayout" screen to manipulate them with some math (numpy) and plot the results on a last screen called "Output".

.py file: