问题描述
我有以下代码来使用 Plotly 创建线图.如何将 Y 轴的范围设置为始终在 [0;10]?
layout = go.Layout(标题=go.layout.Title(文本=测试"，外部参照='纸'，x=0),xaxis=go.layout.XAxis(滴答模式='线性'，滴答字体=字典(大小=10),标题=go.layout.xaxis.Title(字体=字典(尺寸=14，颜色='#7f7f7f'))),yaxis=go.layout.YAxis(标题=go.layout.yaxis.Title(文本=y，字体=字典(尺寸=14，颜色='#7f7f7f'))))数据 = [go.Scatter(x=x1, y=y1)]更新到新版本
设置图形时，您可以使用 plotly 的
完整代码:
# 导入将熊猫导入为 pd导入 plotly.graph_objs将 numpy 导入为 np# 数据np.random.seed(4)x = np.linspace(0, 1, 50)y = np.cumsum(np.random.randn(50))# 绘制折线图fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'), layout_yaxis_range=[-4,4])fig.update_layout(yaxis_range=[-4,4])图.show()且没有魔法下划线表示法的原始答案:
设置图形时，使用:
layout = go.Layout(yaxis=dict(range=[fromValue, toValue])或者如果你已经有了一个名为 fig 的图，你可以使用:
fig.update_layout(yaxis=dict(range=[fromValue,toValue]))剧情:
Jupyter Notebook 的完整代码:
# 导入从 plotly.offline 导入 download_plotlyjs, init_notebook_mode, plot, iplot将熊猫导入为 pd导入 plotly.graph_objs将 numpy 导入为 np# 设置init_notebook_mode(连接=真)# 数据np.random.seed(4)x = np.linspace(0, 1, 50)y = np.cumsum(np.random.randn(50))# 线跟踪 = go.Scatter(x=x,y=y,)# 布局布局 = go.Layout(yaxis=dict(range=[-4,4]))# 阴谋fig = go.Figure(data=[trace], layout=layout)iplot(无花果)一些重要细节:
通过此设置，您可以轻松添加 y 轴标题，如下所示:
# 布局layout = go.Layout(yaxis=dict(range=[-4,4]), title='y 轴'))如果您想进一步格式化该标题，这有点更棘手.我发现用 title = go.layout.yaxis.Title(text='y Axis', font=dict(size=14, color='#7f7f7f') 添加另一个元素是最简单的.只要你做对了，你就不应该遇到上面评论中的情况:
谢谢.我尝试过这个.但是我在 yaxis 中有 2 个定义布局:yaxis=dict(range=[0, 10]) 和 yaxis=go.layout.YAxis.所以出现错误.
看看这个:
剧情:
带有 y 轴文本格式的完整代码:
# 导入从 plotly.offline 导入 download_plotlyjs, init_notebook_mode, plot, iplot将熊猫导入为 pd导入 plotly.graph_objs将 numpy 导入为 np# 设置init_notebook_mode(连接=真)# 数据np.random.seed(4)x = np.linspace(0, 1, 50)y = np.cumsum(np.random.randn(50))# 线跟踪 = go.Scatter(x=x,y=y,)# 布局布局=去.布局(yaxis=dict(范围=[-4,4],title = go.layout.yaxis.Title(text='y 轴', font=dict(size=14, color='#7f7f7f'))))# 阴谋fig = go.Figure(data=[trace], layout=layout)iplot(无花果)I have the following code to create the line plot with Plotly. How can I set the range of Y axis to always have it in [0; 10]?
layout = go.Layout(
title=go.layout.Title(
text="Test",
xref='paper',
x=0
),
xaxis=go.layout.XAxis(
tickmode='linear',
tickfont=dict(
size=10
),
title=go.layout.xaxis.Title(
font=dict(
size=14,
color='#7f7f7f'
)
)
),
yaxis=go.layout.YAxis(
title=go.layout.yaxis.Title(
text=y,
font=dict(
size=14,
color='#7f7f7f'
)
)
)
)
data = [go.Scatter(x=x1, y=y1)]
Updatefornewerversions
When setting up a figure you can use plotly's magic underscore notation and specify layout_yaxis_range=[<from_value>, <to_value>] like this:
fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'), layout_yaxis_range=[-4,4])
Or if you've already got a figure named fig, you can use:
fig.update_layout(yaxis_range=[-4,4])
And:
fig.update(layout_yaxis_range = [-4,4])
Or:
fig.update_yaxes(range = [-4,4])
Figure:
Completecode:
# imports
import pandas as pd
import plotly.graph_objs as go
import numpy as np
# data
np.random.seed(4)
x = np.linspace(0, 1, 50)
y = np.cumsum(np.random.randn(50))
# plotly line chart
fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'), layout_yaxis_range=[-4,4])
fig.update_layout(yaxis_range=[-4,4])
fig.show()
andnomagicunderscorenotation:
When setting up a figure, use:
layout = go.Layout(yaxis=dict(range=[fromValue, toValue])
Or if you've already got a figure named fig, you can use:
fig.update_layout(yaxis=dict(range=[fromValue,toValue]))
Plot:
Complete code for Jupyter Notebook:
# imports
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import pandas as pd
import plotly.graph_objs as go
import numpy as np
# setup
init_notebook_mode(connected=True)
# data
np.random.seed(4)
x = np.linspace(0, 1, 50)
y = np.cumsum(np.random.randn(50))
# line
trace = go.Scatter(
x=x,
y=y,
)
# layout
layout = go.Layout(yaxis=dict(range=[-4,4])
)
# Plot
fig = go.Figure(data=[trace], layout=layout)
iplot(fig)
Some important details:
With this setup, you can easily add an y axis title like this:
# layout
layout = go.Layout(yaxis=dict(range=[-4,4]), title='y Axis')
)
It's a little more tricky if you'd like to format that title further. I find it easiest to actually add another element with title = go.layout.yaxis.Title(text='y Axis', font=dict(size=14, color='#7f7f7f'). As long as you do it the right way, you should not experience the situation in your comment above:
Thanks. I tried it. But then I have 2 definitions of yaxis in the Layout: yaxis=dict(range=[0, 10]) and yaxis=go.layout.YAxis. Therefore an error appears.
Take a look at this:
Plot:
Complete code with y-axis text formatting:
# imports
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import pandas as pd
import plotly.graph_objs as go
import numpy as np
# setup
init_notebook_mode(connected=True)
# data
np.random.seed(4)
x = np.linspace(0, 1, 50)
y = np.cumsum(np.random.randn(50))
# line
trace = go.Scatter(
x=x,
y=y,
)
# layout
layout = go.Layout(
yaxis=dict(range=[-4,4],
title = go.layout.yaxis.Title(text='y Axis', font=dict(size=14, color='#7f7f7f')))
)
# Plot
fig = go.Figure(data=[trace], layout=layout)
iplot(fig)
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