有谁知道如何在绘图中设置辅助x轴及其范围?
我试图在这里显示垂直直方图,但它目前仍然太小
import pandas as pd
import numpy as np
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from plotly.graph_objs.layout import YAxis,XAxis,Margin
x1 = np.linspace(0, 4, 41)
y1 = (x1-2)**3+2
y2 = x1*0+2
x1_sample = np.random.normal(2,0.3,5000)
y1_sample = (x1_sample-2)**3+2
data = np.column_stack((x1_sample, y1_sample))
df_hist = pd.DataFrame(data = data, columns = ['x1_sample', 'y1_sample'])
fig = make_subplots(rows=1, cols=2, specs = [[{"secondary_y": True}, {"secondary_y": True}]], horizontal_spacing=0.2)
# Subplot 1
## Line
fig.update_yaxes(range = [0, 4], dtick = 1, secondary_y=False)
fig.add_trace(
go.Scatter(x = x1 , y = y1, mode='lines'),
row = 1, col = 1
)
fig.add_trace(
go.Scatter(x = x1, y = y2, mode = 'lines'),
row = 1, col = 1
)
## Histogram
fig.update_yaxes(range = [0, 0.5], dtick = 0.1, secondary_y=True)
fig.add_trace(
go.Histogram(x = df_hist['x1_sample'], histnorm='probability', nbinsx=40),
secondary_y=True,
row = 1, col = 1
)
fig.add_trace(
go.Histogram(y = df_hist['y1_sample'], histnorm='probability', nbinsy=40),
row = 1, col = 1
)
最佳答案
要获得示例中所需的内容,只需将以下行添加到您的设置中即可:
fig.update_layout(xaxis2= {'anchor': 'y', 'overlaying': 'x', 'side': 'top'})
fig.data[3].update(xaxis='x2')
fig.update_layout(xaxis2_range=[-0,0.6])
第 1 行设置辅助 x 轴,而第 2 行为其指定轨迹。我假设 fig.data[3]
是正确的跟踪,但您可以自己检查。不出所料,第 3 行设置了辅助 x 轴的范围。
绘图
完整代码:
import numpy as np
import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from plotly.graph_objs.layout import YAxis,XAxis,Margin
x1 = np.linspace(0, 4, 41)
y1 = (x1-2)**3+2
y2 = x1*0+2
x1_sample = np.random.normal(2,0.3,5000)
y1_sample = (x1_sample-2)**3+2
data = np.column_stack((x1_sample, y1_sample))
df_hist = pd.DataFrame(data = data, columns = ['x1_sample', 'y1_sample'])
fig = make_subplots(rows=1, cols=2, specs = [[{"secondary_y": True}, {"secondary_y": True}]],
horizontal_spacing=0.2,
shared_xaxes = False)
# Subplot 1
## Line
fig.update_yaxes(range = [0, 4], dtick = 1, secondary_y=False)
fig.add_trace(
go.Scatter(x = x1 , y = y1, mode='lines'),
row = 1, col = 1
)
fig.add_trace(
go.Scatter(x = x1, y = y2, mode = 'lines'),
row = 1, col = 1
)
## Histogram
fig.update_yaxes(range = [0, 0.5], dtick = 0.1, secondary_y=True)
fig.add_trace(
go.Histogram(x = df_hist['x1_sample'], histnorm='probability', nbinsx=40),
secondary_y=True,
row = 1, col = 1
)
fig.add_trace(
go.Histogram(y = df_hist['y1_sample'], histnorm='probability', nbinsy=40),
row = 1, col = 1
)
fig.update_layout(xaxis2= {'anchor': 'y', 'overlaying': 'x', 'side': 'top'})
fig.data[3].update(xaxis='x2')
fig.update_layout(xaxis2_range=[-0,0.6])
fig.show()
关于python - 如何在带有子图的绘图中设置辅助x轴及其范围?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/66196920/