Python 确定matplotlib图表中的序列顺序

我的头撞到了matplotlib条形图上。 我该如何改变酒吧的顺序，让女性出现在男性面前

#!/usr/bin/env python
# a bar plot with errorbars
import numpy as np
import matplotlib.pyplot as plt

N = 5
menMeans = (20, 35, 30, 35, 27)
menStd = (2, 3, 4, 1, 2)

ind = np.arange(N)  # the x locations for the groups
width = 0.35       # the width of the bars

fig, ax = plt.subplots()
rects1 = ax.bar(ind, menMeans, width, color='r', yerr=menStd)

womenMeans = (25, 32, 34, 20, 25)
womenStd = (3, 5, 2, 3, 3)
rects2 = ax.bar(ind + width, womenMeans, width, color='y', yerr=womenStd)

# add some text for labels, title and axes ticks
ax.set_ylabel('Scores')
ax.set_title('Scores by group and gender')
ax.set_xticks(ind + width)
ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))

ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))


def autolabel(rects):
    # attach some text labels
    for rect in rects:
        height = rect.get_height()
        ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,
                '%d' % int(height),
                ha='center', va='bottom')

autolabel(rects1)
autolabel(rects2)

plt.show()

---

在我看来，matplotlib坚持按字母顺序对数据进行排序。有没有办法避免这种情况？

解决方案非常简单，顺序是位置：

 rects2 = ax.bar(ind - width, womenMeans, width, color='y', yerr=womenStd)

---

这将在第一个系列之前绘制第二个系列的条形图。

解决方案非常简单，顺序是位置：

 rects2 = ax.bar(ind - width, womenMeans, width, color='y', yerr=womenStd)

这将在第一个系列之前绘制第二个系列的条形图