While Joe Kington certainly proposes the most sensible answer when he recommends that only the necessary data be plotted, there are situations where it would be best to plot all of the data and just zoom to a certain section. Additionally, it would be nice to have an “autoscale_y” function that only requires the axes … Read more
Get current axis via plt.gca(), and then set its limits: ax = plt.gca() ax.set_xlim([xmin, xmax]) ax.set_ylim([ymin, ymax])
Tested in python 3.11.2, matplotlib 3.7.1 You will just need to add a pad. See matplotlib ticks position relative to axis yax = ax.get_yaxis() yax.set_tick_params(pad=pad) matplotlib.axis.Axis.set_tick_params To do your figuring of what the pad should be: import numpy as np import matplotlib.pyplot as plt ticks = [‘Lorem ipsum dolor sit amet, consectetur adipisicin’, ‘g elit, … Read more
set useOffset to False: ax = plt.gca() ax.ticklabel_format(useOffset=False)
First, scale Rate by Rate*max(df$Response) and modify the 0.9 scale of Response text. Second, include a second axis via scale_y_continuous(sec.axis=…): ggplot(df) + geom_bar(aes(x=Year, y=Response),stat=”identity”, fill=”tan1″, colour=”sienna3″)+ geom_line(aes(x=Year, y=Rate*max(df$Response)),stat=”identity”)+ geom_text(aes(label=Rate, x=Year, y=Rate*max(df$Response)), colour=”black”)+ geom_text(aes(label=Response, x=Year, y=0.95*Response), colour=”black”)+ scale_y_continuous(sec.axis = sec_axis(~./max(df$Response))) Which yields:
update: Copied material that was on the R wiki at http://rwiki.sciviews.org/doku.php?id=tips:graphics-base:2yaxes, link now broken: also available from the wayback machine Two different y axes on the same plot (some material originally by Daniel Rajdl 2006/03/31 15:26) Please note that there are very few situations where it is appropriate to use two different scales on the … Read more