当我使用Plotly express以不同的范围绘制不同的参数时——在下面的示例中,血压高、身高(cm)、体重(kg)和血压低——使用facet_col
参数时,我无法获得结果图来显示每个刻面图的唯一Ytick。有没有一种简单的方法让fig
对象在生成的刻面图中显示每组Ytick?否则,正如您在生成的图像中所看到的,不清楚每个方框图是否位于其唯一的YAxis上
import plotly.express as px
import pandas as pd
temp = [
{"Clinic": "A", "Subject": "Bill", "Height(cm)": 182, "Weight(kg)": 101, "BloodPressureHigh": 128, "BloodPressureLow": 90},
{"Clinic": "A", "Subject": "Susie", "Height(cm)": 142, "Weight(kg)": 67, "BloodPressureHigh": 120, "BloodPressureLow": 70},
{"Clinic": "B", "Subject": "John", "Height(cm)": 202, "Weight(kg)": 89, "BloodPressureHigh": 118, "BloodPressureLow": 85},
{"Clinic": "B", "Subject": "Stacy", "Height(cm)": 156, "Weight(kg)": 78, "BloodPressureHigh": 114, "BloodPressureLow": 76},
{"Clinic": "B", "Subject": "Lisa", "Height(cm)": 164, "Weight(kg)": 59, "BloodPressureHigh": 112, "BloodPressureLow": 74}
]
df = pd.DataFrame(temp)
# Melt the dataframe so I can use plotly express to plot distributions of all variables
df_melted = df.melt(id_vars=["Clinic", "Subject"])
# Plot distributions, with different parameters in different columns
fig = px.box(df_melted, x="Clinic", y="value",
facet_col="variable", boxmode="overlay"
)
# Update the YAxes so that the faceted column plots no longer share common YLimits
fig.update_yaxes(matches=None)
# Last step needed: Add tick labels to each yaxis so that the difference in YLimits is clear?
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