Jupyter Lab 交互式绘图：* 不支持的操作数类型

Question

我正在关注一个视频以了解如何使用 plotly 生成交互式绘图，但我一直收到错误：*不支持的操作数类型：'FloatSlider' 和 'float'。

我很确定其他部分是正确的，原来的导师运行得很好，但在我的 jupyter 实验室中，它遇到了问题。

以下是代码：

import plotly as py

import plotly.graph_objs as go

import ipywidgets as widgets

import numpy as np

from scipy import special

py.offline.init_notebook_mode(connected=True)

x = np.linspace(0, np.pi, 1000)

# Then layout the graph object in plotly

# Every object starts in a new line in the layout of plotly graph_objs

layout = go.Layout(

    # The title of the layout

    title = "Simple Example of Plotly",

    # Y axis, everything goes into a dict type, same of X axis

    yaxis = dict(

        title = "volts"

    ),

    xaxis = dict(

        title = "nanoseconds"

    )

)

# Now get a function with widgets using signals and frequency

# Put the trace into the function

def update_plot(signals, frequency):

    # Get a data list to put all traces in

    data = []

    for s in signals:

        # Put traces inside the function's loop

        trace1 = go.Scatter(

            x = x,

            n = freq * x,

            # Update y value using scipy's special's bessel functions

            y = special.jv(s, n),

            # Scatter has three modes, marker, lines, marker+lines

            mode = "lines",

            # Set a name

            name = "bessel {}".format(s),

            # Set up the interpolation, how the dots are connected with lines

            # line is going to be a dict

            line = dict(

                shape = "spline"

            )

        )

        data.append(trace1)

        # Plotting also goes in the function

        fig = go.Figure(data = data, layout=layout)

        # Finally show it

        py.offline.iplot(fig)

# Once the function is done, we create the widget

# Value in signals should be a tuple

signals = widgets.SelectMultiple(options = list(range(6)), value = (0,), 

description="Bessel Order")

有谁知道如何解决它？似乎 special.jv(x,y) 函数不接受操作数 *? 但是即使我创建了另一个变量 n = freq * x，它仍然报告错误。非常感谢。

Answer 1

当您在 Python 中报告错误时，您应该在问题中包含完整的回溯（即完整的错误消息）。所有输出中都有有用的信息，包括确切地哪一行触发了错误。在这里，这条线似乎是n = freq * x。你创造freq的freq = widgets.FloatSlider(min = 1, max = 20, value = 1, description="Freq")，所以freq是一个FloatSlider对象。另一个操作数x是一个 numpy 数组。显然没有为这些操作数定义乘法运算。也就是说，Python 不知道如何将 aFloatSlider和 numpy 数组相乘。要获得 的实际值FloatSlider以便您可以对其进行算术运算，请使用该value属性。更改n = freq * x为n = freq.value * x