python - Jupyter Lab 交互式绘图:*:“FloatSlider”和“float”不支持的操作数类型
问题描述
我正在观看一个视频来学习如何使用 plotly 来生成交互式绘图,但我一直收到错误消息:*: 'FloatSlider' 和 'float' 的操作数类型不受支持。
我很确定其他部分是正确的,原来的导师跑得很好,但在我的 jupyter 实验室,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")
# Make a freq
freq = widgets.FloatSlider(min = 1, max = 20, value = 1, description="Freq")
# Finally make the interaction
widgets.interactive(update_plot, signals = signals, frequency = freq)
有谁知道如何解决它?似乎 special.jv(x,y) 函数不接受操作数 *?但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。
解决方案
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)。在所有输出中都有有用的信息,包括究竟是哪一行触发了错误。
在这里,这条线似乎是n = freq * x
。您创建freq
为freq = widgets.FloatSlider(min = 1, max = 20, value = 1, description="Freq")
,对象freq
也是如此FloatSlider
。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
推荐阅读
- r - 导出或保存 tsclust 模型
- unity3d - 物体的坐标发生了变化,但视觉上它不动?
- z3py - 如何用 z3py 解决这个排除/包含问题?
- vue.js - 如何在 Quasar 表上添加边框半径
- ubuntu - 即使呼叫来自同一台服务器,socket.io 也会让我被 CORS 策略阻止
- python - 从两个python字符串中删除相等的字符
- javascript - 如何在 Vue 中使用组件函数从父数据中的数组中删除对象?
- string - 在 C++ 中按字典顺序对字符串进行排序
- c++ - 让 C2027 使用未定义类型 'dlib::image_traits
' 使用 dlib::frontal_face_detector 时出错 - c++ - 矩阵乘法的特征码比使用 std::vector 的循环乘法运行速度慢