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。