python中，如何解决错误：TypeError:无效的地物属性：Layout布局错误的属性路径：Layout

Question

在学习《python 编程从入门到实践》中，15.4章节中，跟着书上的代码敲得，但出现了错误：
代码如下：

from plotly.graph_objs import Bar, Layout
from plotly import offline

from die import Die

创建一个D6

die = Die()

掷几次筛子并将结果存储在一个列表中

results = []
for roll_num in range(1000):
result = die.roll()
results.append(result)

分析结果

frequencies = []
for value in range(1, die.num_sides+1):
frequency = results.count(value)
frequencies.append(frequency)

对结果进行可视化

x_values = list(range(1, die.num_sides+1))
data = [Bar(x=x_values, y=frequencies)]

x_axis_config = {'title': '结果'}
y_axis_config = {'title': '结果的频率'}
my_layout = Layout(title='掷一个D6 1000次的结果',
xaxis=x_axis_config, yaxis=y_axis_config)
fig = {'data': data, 'Layout': my_layout}
offline.plot(fig, filename='d6.html')

运行结果及报错内容
TypeError: invalid Figure property: Layout
Layout
Bad property path:
Layout
网上找不到相关解答
请各位帮忙

Answer 1

fig = {'data': data, 'layout': my_layout}。可参考：https://blog.csdn.net/weixin_46329748/article/details/117170740

import random

from plotly.graph_objs import Bar, Layout
from plotly import offline


class Die:
    """表示一个骰子的类"""

    def __init__(self, num_sides):
        """骰子默认为6面"""
        self.num_sides = num_sides

    def roll(self):
        """返回一个1和骰子面数之间的随机整数"""
        return random.randint(1, self.num_sides)


if __name__ == "__main__":
    # 创建一个Die
    die = Die(6)
    print(die)
    print(die.num_sides)
    # 掷几次筛子并将结果存储在一个列表中
    results = []
    for roll_num in range(1000):
        result = die.roll()
        results.append(result)
    print(results)

    # 分析结果
    frequencies = []
    for value in range(1, die.num_sides + 1):
        frequency = results.count(value)
        frequencies.append(frequency)
    print(frequencies)

    # 对结果进行可视化
    x_values = list(range(1, die.num_sides + 1))
    data = [Bar(x=x_values, y=frequencies)]

    x_axis_config = {'title': '结果'}
    y_axis_config = {'title': '结果的频率'}
    my_layout = Layout(title='掷一个1000次的结果',
                       xaxis=x_axis_config, yaxis=y_axis_config)
    fig = {'data': data, 'layout': my_layout}
    offline.plot(fig, filename='d6.html')