我使用的库
import numpy as np
import pandas as pd
import seaborn as sns
import plotly.express as px
import matplotlib.pyplot as plt
数据集https://i.stack.imgur.com/k4hIL.png
我的代码
sound_features = ['acousticness', 'danceability', 'energy', 'instrumentalness', 'liveness', 'valence']
fig = px.line(year_data, x='year', y=sound_features)
fig.show()
我的输出https://i.stack.imgur.com/iF529.png
理想输出https://i.stack.imgur.com/Fwsop.png
让我们试试这种方法
plot_data = [
go.Scatter(
x=year_data['year'],
y=year_data['acousticness'],
name = 'acousticness'
),
go.Scatter(
x=year_data['year'],
y=year_data['danceability'],
name = 'danceability'
),
go.Scatter(
x=year_data['year'],
y=year_data['energy'],
name = 'energy'
),
go.Scatter(
x=year_data['year'],
y=year_data['instrumentalness'],
name = 'instrumentalness'
),
go.Scatter(
x=year_data['year'],
y=year_data['liveness'],
name = 'liveness'
),
go.Scatter(
x=year_data['year'],
y=year_data['valence'],
name = 'valence'
)
]
plot_layout = go.Layout(
xaxis={"type": "category"},
title='Sound features'
)
fig = go.Figure(data=plot_data, layout=plot_layout)
pyoff.iplot(fig)