Plotly 具有多条轨迹的子图

Question

在同一个 plot 上制作一个带有多条迹线的 plotly 子图。

所以我正在制作我计划放在 HTML 文件中以供 web 查看的子图。 但是，问题是我的每个 plot 都有多个痕迹，并且是在 px.line 中制作的。 好吧，所以我尝试使用 go.Scatter 制作一个带有多个轨迹的 plot，但这也不起作用。

这是当前代码：

import pandas as pd 
import plotly.express as px 
import plotly.graph_objects as go
import plotly
from itertools import cycle
from plotly.subplots import make_subplots 


#below code imports file needed at the moment
F62Ext1 = pd.read_csv("F6-2_Ext1.csv")
F62Ext2 = pd.read_csv("F6-2_Ext2.csv")


#using a savgol filter to smooth out data in python
from scipy.signal import savgol_filter
#definition of savgol filter for dataframe written below
def savgol(x):
    return savgol_filter(x,101,6)
F62Ext1_smoothed = F62Ext1.apply(savgol)
F62Ext2_smoothed = F62Ext2.apply(savgol)

F62E1_CH1 = go.Scatter(x = F62Ext1_smoothed['Time'], y = [F62Ext1_smoothed['CH1'],F62Ext1['ActivePoke'], F62Ext1['CueLight']], name = "F62Ext1, Channel 1")
F62E2_CH1 = go.Scatter(x = F62Ext2_smoothed['Time'], y = [F62Ext2_smoothed['CH1'],F62Ext2['ActivePoke'], F62Ext2['CueLight']], name = "F62Ext2, Channel 1")

fig = make_subplots(rows = 1, cols = 2, shared_yaxes = True)
fig.add_trace(F62E1_CH1, row = 1, col = 1)
fig.add_trace(F62E2_CH1, row = 1, col = 2)

产生以下内容： go.Scatter plot

然而，我想要获得的是： px.line plot with multiple traces

我该如何纠正这个错误？

编辑：F62E1 的字典如下：

{'Time': {0: 0.0, 1: 0.1, 2: 0.2, 3: 0.3, 4: 0.4},
 'CH1': {0: -0.169504148,
  1: -0.372732867,
  2: -0.323666804,
  3: -0.352484157,
  4: -0.327975913},
 'CH2': {0: -0.188884746,
  1: -0.301823346,
  2: -0.13172756,
  3: -0.456077945,
  4: -0.543653381},
 'CH3': {0: 0.03599356,
  1: -0.029965731,
  2: 0.014807156,
  3: -0.06392204,
  4: -0.041387216},
 'CH4': {0: -0.082626583,
  1: -0.071240774,
  2: -0.055854863,
  3: -0.137854075,
  4: -0.134953954},
 'CH5': {0: -0.104248439,
  1: -0.241010992,
  2: -0.249843885,
  3: -0.306350559,
  4: -0.223923059},
 'CH6': {0: -0.020229121,
  1: -0.359940514,
  2: -0.229173544,
  3: -0.266795437,
  4: -0.278069671},
 'CH7': {0: -0.209219168,
  1: -0.255944829,
  2: -0.215244963,
  3: -0.290505347,
  4: -0.28456927},
 'CH8': {0: 0.093962928,
  1: 1.2574526,
  2: 1.75068895,
  3: 1.356159013,
  4: 0.676462295},
 'CH9': {0: -0.150238434,
  1: -0.167165814,
  2: -0.057212299,
  3: -0.20998062,
  4: -0.351662263},
 'CH10': {0: -0.306078824,
  1: -0.399363635,
  2: -0.281349569,
  3: -0.53463429,
  4: -0.383537615},
 'CH11': {0: -0.189443456,
  1: -0.161361134,
  2: -0.223323043,
  3: -0.338406151,
  4: -0.339504188},
 'CH12': {0: -0.174074045,
  1: -0.230008948,
  2: -0.255067313,
  3: -0.380150306,
  4: -0.393756259},
 'CH13': {0: -0.123562058,
  1: -0.271150428,
  2: -0.251144972,
  3: -0.379664224,
  4: -0.393714865},
 'CH14': {0: -0.233391565,
  1: -0.276967731,
  2: -0.236738984,
  3: -0.44725073,
  4: -0.455074619},
 'CH15': {0: -0.234460706,
  1: -0.368129274,
  2: -0.264646375,
  3: -0.438000119,
  4: -0.40056134},
 'CH16': {0: -0.267852578,
  1: -0.224666613,
  2: -0.189448701,
  3: -0.291014541,
  4: -0.387302535},
 'ActivePoke': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0},
 'CueLight': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0},
 'Pump': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0},
 'InactivePoke': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}}

Answer 1

我认为问题在于 plotly 无法理解此跟踪：

F62E1_CH1 = go.Scatter(x = F62Ext1_smoothed['Time'], y = [F62Ext1_smoothed['CH1'],F62Ext1['ActivePoke'], F62Ext1['CueLight']], name = "F62Ext1, Channel 1")

您可以改为将go.Scatter对象存储在列表中，然后循环遍历它们以单独添加轨迹。 我还使用了参数legendgroup和showlegend ，以便可以一起选择或取消选择子图的所有轨迹——如果不需要，可以将其删除。

例如：

F62E1_CH1_traces = [
    go.Scatter(
        x = F62Ext1_smoothed['Time'], 
        y = y, 
        name = "F62Ext1, Channel 1",
        legendgroup = "F62Ext1, Channel 1",
        showlegend = showlegend
    ) for y, showlegend in zip(
        [F62Ext1_smoothed['CH1'],F62Ext1['ActivePoke'], F62Ext1['CueLight']],
        [True, False, False]
    ) 
]
F62E1_CH2_traces = [
    go.Scatter(
        x = F62Ext2_smoothed['Time'], 
        y = y, 
        name = "F62Ext2, Channel 2",
        legendgroup = "F62Ext2, Channel 2",
        showlegend = showlegend
    ) for y, showlegend in zip(
        [F62Ext2_smoothed['CH1'],F62Ext2['ActivePoke'], F62Ext2['CueLight']],
        [True, False, False]
    )
]

fig = make_subplots(rows = 1, cols = 2, shared_yaxes = True)
for F62E1_CH1_trace in F62E1_CH1_traces:
    fig.add_trace(F62E1_CH1_trace, row = 1, col = 1)
for F62E1_CH2_trace in F62E1_CH2_traces:
    fig.add_trace(F62E1_CH2_trace, row = 1, col = 2)
fig.show()