cal*_*ife 5 python data-visualization plotly
一直在Python中使用plotly,但不断遇到上述相同的错误消息。我在 Anaconda 上安装了plotly,在 Jupyter 和 Spyder 上分别收到错误消息:
#data manipulation
import pandas as pd
import numpy as np
#loading csv
df = df = pd.read_csv(r'C:\Users\hendev\Desktop\FIFA18 - Ultimate Team players.csv')
import plotly.graph_objs as go
# prepare data
x2017 = df.overall[df.added_date == 2017]
x2018 = df.overall[df.added_date == 2018]
trace1 = go.Histogram(
x=x2017,
opacity=0.75,
name = "2017",
marker=dict(color='rgba(171, 50, 96, 0.6)'))
trace2 = go.Histogram(
x=x2018,
opacity=0.75,
name = "2018",
marker=dict(color='rgba(12, 50, 196, 0.6)'))
data = [trace1, trace2]
layout = go.Layout(barmode='overlay',
title=' Rating added in 2017 and 2018',
xaxis=dict(title='students-staff ratio'),
yaxis=dict( title='Count'),
)
fig = go.Figure(data=data, layout=layout)
iplot(fig)
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知道我做错了什么吗?
小智 7
注意: $ from plotly.plotly import iplot仅在plotly之前有效v3.10.0该plotly.plotly模块已在plotly中被弃用v4.0。首先检查您的版本:
$ python3 -c 'import plotly; print(plotly.__version__)' # for Python 3
$ python -c 'import plotly; print(plotly.__version__)' # for Python 2
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v4.0从那时起,该功能已分为两种模式:在线和离线。
在线的
如果您希望在线呈现数字,您现在需要导入图表工作室并使用
from chart_studio.plotly import plot, iplot
离线
如果您想在本地渲染图像,您有多种选择:
from plotly.offline import iplot
# your code
iplot(fig)
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或者
from plotly.subplots import make_subplots
fig = make_subplots(# your args)
# your code
fig.show()
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或者
import plotly.io as pio
# your code
pio.show(fig)
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或者
import plotly.graph_objects as go
fig = go.Figure(# your args)
# your code
fig.show()
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您可以在此处阅读有关渲染器的更多信息。
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