[FIXED] Why do unwanted lines appear in my plot when saved as an .svg but not .png

Issue

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import os
from matplotlib.ticker import FuncFormatter

# Assuming dataset is already defined
dataset2 = #redacted 

# Set up the figure
plt.figure(figsize=(8, 6))

# Plot the histogram with weights for relative frequencies
weights2 = np.ones_like(dataset2['Angle']) / len(dataset2['Area'])
plt.hist(dataset2['Angle'], bins=15, weights=weights2, color='Black', linewidth=2, label='Virtual')

# Set labels and title with larger font size
plt.xlabel("In-plane ($x_1$-$x_2$) angle range (°)", fontsize=14)

plt.ylabel("Probability", fontsize=14)

# Set x-axis limit
plt.xlim(-90, 90)

# Increase the size of tick labels
plt.xticks(fontsize=12)
plt.yticks(fontsize=12)

# Convert y-axis ticks to percentages for the second plot
plt.gca().yaxis.set_major_formatter(FuncFormatter(lambda y, _: '{:.0%}'.format(y)))

# Add text box in the upper-right corner
a_11_value = 0.58
text_box_content = f'$a_{{11}} = {a_11_value:.2f}$'

plt.text(0.95, 0.95, text_box_content, transform=plt.gca().transAxes,
         verticalalignment='top', horizontalalignment='right', fontsize=16,
         bbox=dict(facecolor='white', alpha=0.8, edgecolor='black'))

# Specify the folder to save the plots
save_folder = r'savelink 

# Save the combined plot as an SVG and PNG file
plt.savefig(os.path.join(save_folder, 'angledistribution_plots.svg'))
plt.savefig(os.path.join(save_folder, 'angledistribution_plots.png'), dpi=00)


# Show the plot
plt.show()

When I save as a svg file I get unwanted white lines on the histogram but this is not a problem with the png?

I expected to have both .svg and .png files to look the same as in there should be no gradient like lines dividing the histogram bins but, they do not.

weirdlines in.svg file`

Solution

I think that's because SVG files render the charts with vector graphics making the white lines visible. Make these changes:

plt.hist(dataset2['Angle'], bins=15, weights=weights2, color='Black', linewidth=2,edgecolor='black', label='Virtual')

Answered By - AshhadDevLab