kawsndriy commented on issue #19517: URL: https://github.com/apache/echarts/issues/19517#issuecomment-1896478645
I agree it might be misleading. I'd like to offer a few brief points for reconsideration: - Community Interest: There's been notable interest in this feature. Based on number of referenced issues - it meets a specific user need. - Correctness: The issue comes with a [proposed fix](https://github.com/apache/echarts/pull/19518) that addresses a very narrow bug, enhancing reliability and trust built with users - Other Libraries: Similar functionalities exist in other charting libraries, indicating a recognized utility in certain data visualization contexts. For example, this matplotlib code allows to render log scaled stacked bars: ``` python import matplotlib.pyplot as plt categories = ['First', 'Second'] values1 = [1, 2000] values2 = [2500, 3000] fig, ax = plt.subplots() ax.bar(categories, values1, label='Series 1') ax.bar(categories, values2, bottom=values1, label='Series 2') # Setting the y-axis to logarithmic scale - ok ax.set_yscale('log') plt.xlabel('Categories') plt.ylabel('Values') plt.title('Stacked Bar Chart with Log Scale') plt.legend() # Display the plot plt.show() ``` Results in this nice looking image:  I hope the Pull request can be accepted as it limits the impact to a very narrow case and address one of our own concerns. Thank you! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
