在 Plotly 图形对象中制作颜色图例
Make a color legend in Plotly graph objects
我有以下两个代码及其输出。一个是在图形对象中完成的,另一个是使用 plotly express 完成的。如您所见,“go”中的那个没有图例,“px”中的那个没有单独的列宽。那么我怎样才能得到第一个的图例,或者固定另一个的宽度呢?
import plotly.graph_objects as go
import pandas as pd
df = pd.DataFrame({'PHA': [451, 149, 174, 128, 181, 175, 184, 545, 131, 106, 1780, 131, 344, 624, 236, 224, 178, 277, 141, 171, 164, 410],
'PHA_cum': [451, 600, 774, 902, 1083, 1258, 1442, 1987, 2118, 2224, 4004, 4135, 4479, 5103, 5339, 5563, 5741, 6018, 6159, 6330, 6494, 6904],
'trans_cost_cum': [0.14, 0.36, 0.6, 0.99, 1.4, 2.07, 2.76, 3.56, 4.01, 4.5, 5.05, 5.82, 5.97, 6.13, 6.33, 6.53, 6.65, 6.77, 6.9, 7.03, 7.45, 7.9],
'Province': ['East', 'East', 'East', 'East', 'East', 'Lapland', 'Lapland', 'Lapland', 'Oulu', 'Oulu', 'Oulu', 'Oulu', 'South', 'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West', 'West'],
})
col_list = {'South': 'rgb(222,203,228)',
'West': 'rgb(204,235,197)',
'East': 'rgb(255,255,204)',
'Oulu': 'rgb(179,205,227)',
'Lapland': 'rgb(254,217,166)'}
provs = df['Province'].to_list()
colors = [col_list.get(item, item) for item in provs]
fig = go.Figure(data=[go.Bar(
x=df['PHA_cum']-df['PHA']/2,
y=df['trans_cost_cum'],
width=df['PHA'],
marker_color=colors
)])
fig.show()
import plotly.express as px
import pandas as pd
df = pd.DataFrame({'PHA': [451, 149, 174, 128, 181, 175, 184, 545, 131, 106, 1780, 131, 344, 624, 236, 224, 178, 277, 141, 171, 164, 410],
'PHA_cum': [451, 600, 774, 902, 1083, 1258, 1442, 1987, 2118, 2224, 4004, 4135, 4479, 5103, 5339, 5563, 5741, 6018, 6159, 6330, 6494, 6904],
'trans_cost_cum': [0.14, 0.36, 0.6, 0.99, 1.4, 2.07, 2.76, 3.56, 4.01, 4.5, 5.05, 5.82, 5.97, 6.13, 6.33, 6.53, 6.65, 6.77, 6.9, 7.03, 7.45, 7.9],
'Province': ['East', 'East', 'East', 'East', 'East', 'Lapland', 'Lapland', 'Lapland', 'Oulu', 'Oulu', 'Oulu', 'Oulu', 'South', 'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West', 'West'],
})
fig = px.bar(df,
x=df['PHA_cum']-df['PHA']/2,
y=df['trans_cost_cum'],
color="Province",
color_discrete_sequence=px.colors.qualitative.Pastel1
)
fig.show()
使用 graph_objects
您需要将每个 Province
作为跟踪传入,以便填充图例。见下文,唯一真正的变化是循环遍历每个 Province
.
的数据
df = pd.DataFrame({'PHA': [451, 149, 174, 128, 181, 175, 184, 545, 131, 106, 1780, 131, 344, 624, 236, 224, 178, 277, 141, 171, 164, 410],
'PHA_cum': [451, 600, 774, 902, 1083, 1258, 1442, 1987, 2118, 2224, 4004, 4135, 4479, 5103, 5339, 5563, 5741, 6018, 6159, 6330, 6494, 6904],
'trans_cost_cum': [0.14, 0.36, 0.6, 0.99, 1.4, 2.07, 2.76, 3.56, 4.01, 4.5, 5.05, 5.82, 5.97, 6.13, 6.33, 6.53, 6.65, 6.77, 6.9, 7.03, 7.45, 7.9],
'Province': ['East', 'East', 'East', 'East', 'East', 'Lapland', 'Lapland', 'Lapland', 'Oulu', 'Oulu', 'Oulu', 'Oulu', 'South', 'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West', 'West'],
})
col_list = {'South': 'rgb(222,203,228)',
'West': 'rgb(204,235,197)',
'East': 'rgb(255,255,204)',
'Oulu': 'rgb(179,205,227)',
'Lapland': 'rgb(254,217,166)'}
#provs = df['Province'].to_list()
#colors = [col_list.get(item, item) for item in provs]
fig = go.Figure()
for p in df['Province'].unique():
dat = df[df.Province == p]
fig.add_trace(go.Bar(
name = p,
x=dat['PHA_cum']-dat['PHA']/2,
y=dat['trans_cost_cum'],
width=dat['PHA'],
marker_color= col_list[p]
))
fig.show()
我有以下两个代码及其输出。一个是在图形对象中完成的,另一个是使用 plotly express 完成的。如您所见,“go”中的那个没有图例,“px”中的那个没有单独的列宽。那么我怎样才能得到第一个的图例,或者固定另一个的宽度呢?
import plotly.graph_objects as go
import pandas as pd
df = pd.DataFrame({'PHA': [451, 149, 174, 128, 181, 175, 184, 545, 131, 106, 1780, 131, 344, 624, 236, 224, 178, 277, 141, 171, 164, 410],
'PHA_cum': [451, 600, 774, 902, 1083, 1258, 1442, 1987, 2118, 2224, 4004, 4135, 4479, 5103, 5339, 5563, 5741, 6018, 6159, 6330, 6494, 6904],
'trans_cost_cum': [0.14, 0.36, 0.6, 0.99, 1.4, 2.07, 2.76, 3.56, 4.01, 4.5, 5.05, 5.82, 5.97, 6.13, 6.33, 6.53, 6.65, 6.77, 6.9, 7.03, 7.45, 7.9],
'Province': ['East', 'East', 'East', 'East', 'East', 'Lapland', 'Lapland', 'Lapland', 'Oulu', 'Oulu', 'Oulu', 'Oulu', 'South', 'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West', 'West'],
})
col_list = {'South': 'rgb(222,203,228)',
'West': 'rgb(204,235,197)',
'East': 'rgb(255,255,204)',
'Oulu': 'rgb(179,205,227)',
'Lapland': 'rgb(254,217,166)'}
provs = df['Province'].to_list()
colors = [col_list.get(item, item) for item in provs]
fig = go.Figure(data=[go.Bar(
x=df['PHA_cum']-df['PHA']/2,
y=df['trans_cost_cum'],
width=df['PHA'],
marker_color=colors
)])
fig.show()
import plotly.express as px
import pandas as pd
df = pd.DataFrame({'PHA': [451, 149, 174, 128, 181, 175, 184, 545, 131, 106, 1780, 131, 344, 624, 236, 224, 178, 277, 141, 171, 164, 410],
'PHA_cum': [451, 600, 774, 902, 1083, 1258, 1442, 1987, 2118, 2224, 4004, 4135, 4479, 5103, 5339, 5563, 5741, 6018, 6159, 6330, 6494, 6904],
'trans_cost_cum': [0.14, 0.36, 0.6, 0.99, 1.4, 2.07, 2.76, 3.56, 4.01, 4.5, 5.05, 5.82, 5.97, 6.13, 6.33, 6.53, 6.65, 6.77, 6.9, 7.03, 7.45, 7.9],
'Province': ['East', 'East', 'East', 'East', 'East', 'Lapland', 'Lapland', 'Lapland', 'Oulu', 'Oulu', 'Oulu', 'Oulu', 'South', 'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West', 'West'],
})
fig = px.bar(df,
x=df['PHA_cum']-df['PHA']/2,
y=df['trans_cost_cum'],
color="Province",
color_discrete_sequence=px.colors.qualitative.Pastel1
)
fig.show()
使用 graph_objects
您需要将每个 Province
作为跟踪传入,以便填充图例。见下文,唯一真正的变化是循环遍历每个 Province
.
df = pd.DataFrame({'PHA': [451, 149, 174, 128, 181, 175, 184, 545, 131, 106, 1780, 131, 344, 624, 236, 224, 178, 277, 141, 171, 164, 410],
'PHA_cum': [451, 600, 774, 902, 1083, 1258, 1442, 1987, 2118, 2224, 4004, 4135, 4479, 5103, 5339, 5563, 5741, 6018, 6159, 6330, 6494, 6904],
'trans_cost_cum': [0.14, 0.36, 0.6, 0.99, 1.4, 2.07, 2.76, 3.56, 4.01, 4.5, 5.05, 5.82, 5.97, 6.13, 6.33, 6.53, 6.65, 6.77, 6.9, 7.03, 7.45, 7.9],
'Province': ['East', 'East', 'East', 'East', 'East', 'Lapland', 'Lapland', 'Lapland', 'Oulu', 'Oulu', 'Oulu', 'Oulu', 'South', 'South', 'South', 'South', 'West', 'West', 'West', 'West', 'West', 'West'],
})
col_list = {'South': 'rgb(222,203,228)',
'West': 'rgb(204,235,197)',
'East': 'rgb(255,255,204)',
'Oulu': 'rgb(179,205,227)',
'Lapland': 'rgb(254,217,166)'}
#provs = df['Province'].to_list()
#colors = [col_list.get(item, item) for item in provs]
fig = go.Figure()
for p in df['Province'].unique():
dat = df[df.Province == p]
fig.add_trace(go.Bar(
name = p,
x=dat['PHA_cum']-dat['PHA']/2,
y=dat['trans_cost_cum'],
width=dat['PHA'],
marker_color= col_list[p]
))
fig.show()