以下是一个使用Python和matplotlib库创建保持中立态度的Likert图的示例代码：

import matplotlib.pyplot as plt

# 创建数据
data = {
    'Strongly disagree': [10, 15, 20, 25, 30],
    'Disagree': [15, 20, 25, 30, 35],
    'Neutral': [20, 25, 30, 35, 40],
    'Agree': [25, 30, 35, 40, 45],
    'Strongly agree': [30, 35, 40, 45, 50]
}

# 设置Likert选项的顺序
likert_order = ['Strongly disagree', 'Disagree', 'Neutral', 'Agree', 'Strongly agree']

# 计算每个选项的百分比
totals = [sum(data[key]) for key in likert_order]
percentages = [[value / total * 100 for value in data[key]] for key, total in zip(likert_order, totals)]

# 创建图表
fig, ax = plt.subplots()

# 绘制矩形条
bottom = [0] * len(data[likert_order[0]])
for i, key in enumerate(likert_order):
    ax.bar(range(len(data[key])), percentages[i], bottom=bottom, label=key)
    bottom = [bottom[j] + percentages[i][j] for j in range(len(data[key]))]

# 设置x轴和y轴标签
ax.set_xlabel('Question')
ax.set_ylabel('Percentage')

# 设置x轴刻度标签
ax.set_xticks(range(len(data[likert_order[0]])))
ax.set_xticklabels(range(1, len(data[likert_order[0]]) + 1))

# 添加图例
ax.legend(loc='upper right')

# 显示图表
plt.show()

该代码使用了matplotlib库创建了一个简单的Likert图，图中每个选项的百分比根据提供的数据进行计算。你可以根据自己的数据和需求进行修改和定制。