I have a loglog plot and would like to plot positive error bar for one of the 6 data points. The rest can have positive & negative. How do I work this out?
Generally this is how I have plotted error bars:
plt.loglog(vsini_rand, vsini_rand_lit, 'bo', label='Randich+1996')
plt.errorbar(vsini_rand, vsini_rand_lit, xerr = sig_rand, color = 'gray', fmt='.', zorder=1)
plt.loglog(x,y,'r-', zorder=3, label='1:1')
Reading the documentation of plt.errorbar
, if you want to plot asymmetric errorbars, you would have to use the argument of xerr
as a sequence of shape 2xN . If you do so, errorbars are drawn at -row1 and +row2 relative to the data. If you want to plot a positive error bar for only one point, you should define to zero the lower limit. I mean, if your data is:
[x1, x2, ... , xn]
you have to give the sequence:
[x0-,x0+,x1-,x1+, ... , xn-,xn+]
as the argument of xerr
. Hope it helps.
Below is an example of how you can plot asymmetric error bars in matplotlib. You can use this even with a log-log scale.
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(10)
def generate_data(num_points, num_repetitions):
n, reps = num_points, num_repetitions
# Generate fake data
x = np.linspace(0, 4*np.pi, n)
ys = np.array([
np.sin(x) + np.random.normal(0, scale=0.3, size=n) for _ in range(reps)
])
yavg = np.mean(ys, axis=0)
ymins = np.min(ys, axis=0)
ymaxs = np.max(ys, axis=0)
yerr = [
np.abs(yavg-ymins), # lower error
np.abs(yavg-ymaxs) # upper error
]
return x, yavg, ymins, ymaxs, yerr
def format_ax(axes, x):
for ax in axes:
ax.set_xlim(min(x), max(x))
ax.set_xticks([])
ax.set_yticks([])
def make_plot():
fig, axes = plt.subplots(1,2, figsize=(8, 3))
x, yavg, ymins, ymaxs, yerr = generate_data(50, 3)
axes[0].errorbar(x, yavg, yerr=yerr, c='tab:orange', elinewidth=0.75, marker='.', linestyle='none')
x, yavg, ymins, ymaxs, yerr = generate_data(100, 15)
axes[1].plot(x, ymins, ls="--", c='tab:orange', alpha=0.4)
axes[1].plot(x, ymaxs, ls="--", c='tab:orange', alpha=0.4)
axes[1].errorbar(x, yavg, yerr=yerr, c='tab:orange', alpha=0.2, lw=0.75, linestyle='none')
axes[1].plot(x, yavg, c='tab:orange')
format_ax(axes, x)
axes[0].set_title("Example 1")
axes[1].set_title("Example 2")
plt.show()
make_plot()
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