我目前正在使用plotly服务来绘制一些访客的流量数据。我的数据框结构
date score actuals anomaly metric_name shift percentage_change anomaly_class
967 2019-08-31 -0.079238 5888.0 2 7 4536.0 22.961957 2
966 2019-08-30 0.027939 4536.0 0 7 3597.0 20.701058 0
965 2019-08-29 0.072523 3597.0 0 7 4045.0 -12.454823 0
964 2019-08-28 0.046619 4045.0 0 7 3490.0 13.720643 0
963 2019-08-27 0.082069 3490.0 0 7 3280.0 6.017192 0
我正在使用以上数据集使用plotly软件包绘制图形。绘图时我面临一个问题。我的绘图版本是4.3.0。下面是我正在尝试的代码
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import chart_studio.plotly as py
import matplotlib.pyplot as plt
from matplotlib import pyplot
import plotly.graph_objs as go
init_notebook_mode(connected=True)
def plot_anomaly(df,metric_name):
#df.load_date = pd.to_datetime(df['date'].astype(str), format="%Y%m%d")
dates = df.date
#identify the anomaly points and create a array of its values for plot
bool_array = (abs(df['anomaly']) > 0)
actuals = df["actuals"][-len(bool_array):]
anomaly_points = bool_array * actuals
anomaly_points[anomaly_points == 0] = np.nan
#A dictionary for conditional format table based on anomaly
color_map = {0: "blue", 1: "yellow", 2: "red"}
#Table which includes Date,Actuals,Change occured from previous point
table = go.Table(
domain=dict(x=[0, 1],
y=[0, 0.3]),
columnwidth=[1, 2],
# columnorder=[0, 1, 2,],
header=dict(height=20,
values=[['<b>Date</b>'], ['<b>Actual Values </b>'], ['<b>% Change </b>'],
],
font=dict(color=['rgb(45, 45, 45)'] * 5, size=14),
fill=dict(color='#d562be')),
cells=dict(values=[df.round(3)[k].tolist() for k in ['date', 'actuals', 'percentage_change']],
line=dict(color='#506784'),
align=['center'] * 5,
font=dict(color=['rgb(40, 40, 40)'] * 5, size=12),
# format = [None] + [",.4f"] + [',.4f'],
# suffix=[None] * 4,
suffix=[None] + [''] + [''] + ['%'] + [''],
height=27,
fill=dict(color=[test_df['anomaly_class'].map(color_map)],#map based on anomaly level from dictionary
)
))
#Plot the actuals points
Actuals = go.Scatter(name='Actuals',
x=dates,
y=df['actuals'],
xaxis='x1', yaxis='y1',
mode='markers',
marker=dict(size=12,
line=dict(width=1),
color="blue"))
#Highlight the anomaly points
anomalies_map = go.Scatter(name="Anomaly",
showlegend=True,
x=dates,
y=anomaly_points,
mode='markers',
xaxis='x1',
yaxis='y1',
hoverinfo='none',
marker=dict(color="red",
size=11,
line=dict(
color="red",
width=2)))
axis = dict(
showline=True,
zeroline=False,
showgrid=True,
mirror=True,
ticklen=4,
gridcolor='#ffffff',
tickfont=dict(size=10))
layout = dict(
width=1000,
height=865,
autosize=False,
title=metric_name,
margin=dict(t=75),
showlegend=True,
xaxis1=dict(axis, **dict(domain=[0, 1], anchor='y1', showticklabels=True)),
yaxis1=dict(axis, **dict(domain=[2 * 0.21 + 0.20, 1], anchor='x1',hoverformat='.2f')))
layout = go.Layout(hovermode=False)
fig = go.Figure(data=[table, anomalies_map, Actuals], layout=layout)
iplot(fig)
pyplot.show()
错误：
AttributeError: module 'plotly.validators.carpet' has no attribute 'HoverinfoValidator
有人可以告诉我如何解决此错误吗？