The easiest way to get rid of the ugly frame in newer versions of matplotlib: import matplotlib.pyplot as plt plt.box(False) If you really must always use the object-oriented approach, then do: ax.set_frame_on(False) .

Feb 25, 2014 · If you want to remove the axis spines, but not the other information (ticks, labels, etc.), you can do that like so: a.plot(t, np.sin((i + 1) * 2 * np.pi * t)) a.spines["top"].set_visible(False) a.spines["right"].set_visible(False) a.spines["bottom"].set_visible(False) or, more easily, using seaborn: a.plot(t, …

Dec 11, 2020 · A frame in the Matplotlib figure is an object inside which given data is represented using independent Axes. These axes represent left, bottom, right and top which can be visualized by Spines(lines) and ticks. To remove the frame (box …

May 20, 2020 · There are two ways to remove the ugly frames from matplotlib.pyplot charts: import matplotlib.pyplot as plt plt.box(False) or. import matplotlib.pyplot as plt for spine in plt.gca().spines.values(): spine.set_visible(False)

Apr 9, 2024 · The easiest way to do so is by turning off the frames in the Matplotlib settings with the axes.spines arguments. You can use the following syntax to remove the entire frame from a Matplotlib plot: import matplotlib. pyplot as plt plt.rcParams['axes.spines.left'] = False plt.rcParams['axes.spines.right'] = False plt.rcParams['axes.spines.top ...

To remove the rectangular frame of a matplotlib plot, you can use the respective axes object’s set_frame_on() function and pass False as an argument. This will remove the rectangular bounding box but will not alter the ticks and tick labels.

Aug 17, 2011 · You will always have an Axes object, even if the axes are not visible! The keyword argument frameon=False turns the frame off. An alternative method is: ax1.set_frame_on(False) We’ll disable the drawing of ticks at the top of the plot: ax1.get_xaxis().tick_bottom() Now, we’ll turn off the y axis: ax1.axes.get_yaxis().set_visible(False)

from matplotlib import pyplot as plt fig = plt.figure() fig.patch.set_visible(False) ax = fig.add_subplot(111) plt.axis('off') plt.imshow(data) extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) plt.savefig("../images/test.png", bbox_inches=extent)

Dec 5, 2024 · To remove the frame from a figure while ensuring a transparent background when saving, you can adjust the properties of both the figure and the axes. Here’s how you can achieve a clean output: ## Create a simple plot fig, ax = plt.subplots() ax.plot(range(10)) ## Make the figure and axes background invisible for item in [fig, ax]:

Sep 26, 2024 · One of the simplest ways to remove the frame from a Matplotlib figure in Python is by using the plt.axis('off') command. This method turns off all axis lines, ticks, and labels, effectively removing the frame. Here’s an example of how to …