Saving A plot using matplotlib, seaborn

Question

I am trying to plot Facet Grid, I have created whole function so it is more convenient, when I test it in my code editor it shows like it is in this

, but when I actually save it is shown like this:

, I need it to be saved exactly it is previewed not like reverted colors.

I tried changing the background color of the grid and made it black and it was terrible didn't work the way I expected

this is my current code:

import seaborn as sns
import matplotlib.pyplot as plt


#################################### FACET ####################################
def facet(data, x, y, col, hue, col_wrap=3, height=3, aspect=1.5, theme='dark',
          x_label=None, y_label=None, palette="crest", grid=True, save_path=None,
          background_opacity=0.2, back_line_color='.7'):

    # Set the theme for Seaborn plots
    sns.set_theme(style=theme)

    #### OTHER VISUALISATION CODE ###

    # Remove default titles from facets
    g.set_titles("")

    # Adjust layout to prevent overlap
    g.tight_layout()

    # Display the final plot
    plt.show()

Answer 1

I dunno how to precisely save the view, but maybe plt.style could help you.
Example code using style:

import numpy as np
import matplotlib.pyplot as plt

data = np.random.randn(50)

plt.style.use('Solarize_Light2')

plt.plot(data)
plt.show() 

You can use plt.style.available() to get the table of available styles, there are many great styles out there.
I also tried for myself, and the style thing shows perfectly when saved as image.

Answer 2

I have solved the problem, I had to manually adjust the color of general background and color of facets background, this is shortened code how I did it:

import seaborn as sns
import matplotlib.pyplot as plt

#################################### FACET ####################################
def facet(data, x, y, col, hue, col_wrap=3, height=3, aspect=1.5, theme='dark',
          x_label=None, y_label=None, palette="crest", grid=True, save_path=None,
          background_opacity=0.2, back_line_color='#468E98', background_color="#222222",
          facet_bg_color="#26262e", text_color="#b6b6b5", spine=False, x_rotation=0):

    # Set the theme for Seaborn plots
    sns.set_theme(style=theme)

    # Create a FacetGrid using Seaborn's `relplot`
    g = sns.relplot(
        data=data,  # Dataset
        x=data[x], y=data[y],  # X and Y variables
        col=data[col],  # Separate plots by unique values in `col`
        hue=data[hue],  # Different colors based on `hue` column
        kind="line",  # Line plot
        palette=palette,  # Color palette
        linewidth=2,  # Adjusted line width
        zorder=5,  # Ensures primary lines are drawn on top
        col_wrap=col_wrap,  # Wrap facet columns
        height=height,  # Height of each facet
        aspect=aspect,  # Aspect ratio of each facet
        legend=False,  # Hide automatic legends
    )

    # Set background color of the entire figure
    g.figure.set_facecolor(background_color)

    for category, ax in g.axes_dict.items():
        # Get dynamic limits for x and y axes
        ax.set_facecolor(facet_bg_color)  # Set facet background color
    ############## OTHER PART OF THE CODE FOR PLOT ##############

so in my code background_color is used for overall background color of the unity of facets and facet_bg_color is the color of each facet shown on the figure.