The error bars overlap in my stacked bar chart. Is there a way to change the x position of the error bar but keep the main bars at the same position?
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import numpy as np
from statistics import mean, stdev, median
colors3 = ['#7ac0f8', '#2196f3', '#1a78c2']
width = 0.6
results = {'Group 1': {'Type A': [24.21, 32.08], 'Type B': [11.35, 6.59], 'Type C': [45.64, 21.87]}, 'Group 2': {'Type A': [19.41, 17.39], 'Type B': [10.16, 8.72], 'Type C': [21.25, 11.57]}, 'Group 3': {'Type A': [11.4, 9.75], 'Type B': [5.73, 6.98], 'Type C': [6.4, 13.38]}}
types = ['Type A', 'Type B', 'Type C']
bottom = [0, 0, 0]
fig, ax = plt.subplots()
for i in range(0, len(types)):
means = list(map(lambda x: results[x][types[i]][0], results.keys()))
errs = list(map(lambda x: results[x][types[i]][1], results.keys()))
ax.bar(results.keys(), means, width, yerr=errs, label=types[i], bottom=bottom, color=colors3[i], error_kw=dict(capsize=5))
for k in range(0, len(means)):
bottom[k] = bottom[k] means[k]
ax.grid(True)
ax.set_axisbelow(True)
plt.legend(types, loc='upper right')
#plt.savefig('img/StackOverflow.png', bbox_inches='tight', dpi=300)
plt.show()
CodePudding user response:
Do this by plotting the bars on their own, then plot the errorbars separately, using