[英]Merge two plots into a single figure with two subplots in plotly
我有兩個用 plotly 制作的圖:
current_plot = px.line(
measured_data_df,
x = 'When',
y = 'Bias current (A)',
color = 'device_name',
markers = True,
)
voltage_plot = px.line(
measured_data_df,
x = 'When',
y = 'Bias voltage (V)',
color = 'device_name',
markers = True,
)
我正在尋找類似於fig = go.Figure(data = current_plot.data+voltage_plot.data)
但結果如下:
這可能嗎?
如果您執行必要的數據操作,在這種情況下應該不難,您可以使用 plotly express 而不是使用go.Figure()
來制作 facet/trellis make_subplots
。 這樣,合並將在數據集中進行,您對 plotly express 的調用將如下所示:
fig = px.line(df, x = 'when', y = 'value', color = 'variable', facet_row = 'bias', height = 600)
# imports
import pandas as pd
import plotly.express as px
# data that should represent your actual data nicely
df = px.data.stocks()
df = df[df.columns[:5]]
df.columns = ['when', 'LTT4', 'LTT8', 'LTT21', 'MS33']
df = pd.melt(df, id_vars = ['when'], value_vars = df.columns[1:])
assign = {'LTT4':'current (A)', 'LTT8':'current (A)',
'LTT21': 'voltage (V)', 'MS33':'voltage (V)'}
df = df.assign(bias = df['variable'].replace(assign))
# facet plot with px.line
fig = px.line(df, x = 'when', y = 'value', color = 'variable', facet_row = 'bias', height = 600)
fig.show()
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