回复：在 matplotlib 中为误差线设置不同的颜色答案

【问题标题】：Re: Setting different color for error bars in matplotlib回复：在 matplotlib 中为误差线设置不同的颜色
【发布时间】：2021-07-15 05:11:46
【问题描述】：

我目前在为我的错误栏设置颜色范围方面遇到了一些麻烦。显然，看起来有两个错误栏相互强加。一种是橙色，另一种是红色。作为参考，我按照这篇文章中的步骤操作：Setting Different error bar colors in bar plot in matplotlib 并进行了调整以适应。有没有办法解决这个小问题？

我还将包括.csv file for usage。目前，代码运行如下：

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.stats import linregress

df = pd.read_csv('Regression.csv') 
df.head()

A = df['Period'] #Period in Days 
B = df['Luminosity'] #Luminosity is already Logarithmic prior to calculation
colors = ['red', 'orange', 'forestgreen', 'teal', 'navy', 'darkorchid'] #range of colors

#Luminosity Uncertainties
ylower_error = df['-dY lum'] #lower limit
yupper_error = df['+dY lum'] #upper limit
yasymmetric_error = [ylower_error, yupper_error]

#Regression space
slope, intercept, r_value, p_value, std_err = linregress(np.log10(A+1), np.array(B))

xfid = np.linspace(2,3)   # This is just a set of x to plot the straight line 

#Plotting the overall data
fig, ax = plt.subplots(figsize=(12, 10))

ax.scatter(np.log10(A), np.array(B), marker='*', s=300, color=colors)
ax.plot(xfid, xfid*slope+intercept,  '-.', c='royalblue', linewidth=3, zorder=0)
ax.set_xlim([2.46, 2.77]) #X-Limits
ax.set_ylim([4.35, 5.45]) #Y-Limits

#Setting the range of colors for the error bar. This one came from the reference post.
for yerr, color in zip(yasymmetric_error, colors):
    ax.errorbar(np.log10(A), np.array(B), yerr, lw=2, capsize=3, 
                capthick=2, ls='none', ecolor=color)

plt.rcParams['axes.linewidth'] = 4
plt.tight_layout()

【问题讨论】：

标签： python matplotlib

【解决方案1】：

循环应该单独枚举组件。这个想法是每个误差条都是单独绘制的，因此在每次迭代中，您绘制x、y、lower、upper 和 color 的单个组合：

for x, y, lower, upper, color in zip(np.log10(A), np.array(B), ylower_error, yupper_error, colors):
    ax.errorbar(x, y, yerr=np.array([[lower], [upper]]), lw=2, capsize=3, 
                capthick=2, ls='none', ecolor=color)

【讨论】：