Pass a PhotoImage object to the CTkButton with the argument image. It's also possible to put an image on a CTkButton. Here I changed the mainĬolors and removed the round corners, and added a border to the buttons: With macOS darkmode turned on, it looks like this:īut can also customize it by yourself. There are at the moment.Maybe this is a good reference if you want toĬreate your own application with this library. Kind of a menu on the left side, and I used all CustomTkinter elements Here I used the customtkinter.enable_macos_darkmode() command toĮnable the macOS darkmode, and used multpiple CTkFrames. If you set the appearance mode to "System", it should change with Which gives the following with the above simple button program: import tkinter import customtkinter customtkinter. So if you want a dark window titlebar, you have to install anaconda python version Currently only the anaconda python versions have Tcl/Tk >= 8.6.9. import tkinter import customtkinter # = 8.6.9, then you can enable the macOSĭarkmode. Next to your program, and then you can do import customtkinter. To use CustomTkinter, just place the /customtkinter folder from this repository Which can either be set manually or get controlled by The CTkButton, which can be used like a normal tkinter.Button,īut can be customized with a border and round edges.ĬustomTkinter also supports a light and dark theme, Tkinter extension which provides extra ui-elements like We also encourage you to join the Plotly Community Forum if you want help with anything related to plotly.With CustomTkinter you can create modern looking user Once you've installed, you can use our documentation in three main ways: Note: This package is optional, and if it is not installed it is not possible for figures to be uploaded to the Chart Studio cloud service. Plotly may be installed using pip:$ pip install plotly=5.15.0 We also encourage you to join the Plotly Community Forum if you want help with anything related to plotly. You can check out our exhaustive reference guides: the Python API reference or the Figure Referenceįor information on using Python to build web applications containing plotly figures, see the Dash User Guide.If you prefer to learn about the fundamentals of the library first, you can read about the structure of figures, how to create and update figures, how to display figures, how to theme figures with templates, how to export figures to various formats and about Plotly Express, the high-level API for doing all of the above.You jump right in to examples of how to make basic charts, statistical charts, scientific charts, financial charts, maps, and 3-dimensional charts. This Getting Started guide explains how to install plotly and related optional pages. exporting notebooks to PDF with high-quality vector images). QtConsole, Spyder, P圜harm) and static document publishing (e.g. Thanks to deep integration with our Kaleido image export utility, plotly also provides great support for non-web contexts including desktop editors (e.g. The plotly Python library is sometimes referred to as "plotly.py" to differentiate it from the JavaScript library. The plotly Python library is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.īuilt on top of the Plotly JavaScript library ( plotly.js), plotly enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash.
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