Seaborn swarmplot and pointplot dodge alignment
0
I am plotting this:
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
fig, ax = plt.subplots(nrows=1, ncols=1)
n=200
to_plot = np.random.uniform(low=0.0, high=1.0, size=n)
mods = ['a','b']
model_col = mods*(n/2)
opt=['1']*(n/2)+['2']*(n/2)
d={'Model':pd.Series(model_col),'Par':pd.Series(to_plot),'opt':pd.Series(opt)}
df = pd.DataFrame(d)
sns.swarmplot(x='Model', y='Par',hue='opt',dodge=True,data=df,size=2,palette=['#469990','#000075'])
sns.pointplot(x="Model", y="Par", hue='opt', data=df,join=False,dodge=True,
ci=68,n_boot=1000,capsize=0.1,errwidth=0.5,scale = 1.5,palette=['k','k'])
ax.get_legend().remove()
plt.show()
Is there a way to align the pointplot mean+SEM and the corresponding swarmplot?
plot seaborn
asked Jan 19 at 23:33
AleAle
465
add a comment |
0
I am plotting this:
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
fig, ax = plt.subplots(nrows=1, ncols=1)
n=200
to_plot = np.random.uniform(low=0.0, high=1.0, size=n)
mods = ['a','b']
model_col = mods*(n/2)
opt=['1']*(n/2)+['2']*(n/2)
d={'Model':pd.Series(model_col),'Par':pd.Series(to_plot),'opt':pd.Series(opt)}
df = pd.DataFrame(d)
sns.swarmplot(x='Model', y='Par',hue='opt',dodge=True,data=df,size=2,palette=['#469990','#000075'])
sns.pointplot(x="Model", y="Par", hue='opt', data=df,join=False,dodge=True,
ci=68,n_boot=1000,capsize=0.1,errwidth=0.5,scale = 1.5,palette=['k','k'])
ax.get_legend().remove()
plt.show()
Is there a way to align the pointplot mean+SEM and the corresponding swarmplot?
plot seaborn
asked Jan 19 at 23:33
AleAle
465
add a comment |
0
0
0
I am plotting this:
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
fig, ax = plt.subplots(nrows=1, ncols=1)
n=200
to_plot = np.random.uniform(low=0.0, high=1.0, size=n)
mods = ['a','b']
model_col = mods*(n/2)
opt=['1']*(n/2)+['2']*(n/2)
d={'Model':pd.Series(model_col),'Par':pd.Series(to_plot),'opt':pd.Series(opt)}
df = pd.DataFrame(d)
sns.swarmplot(x='Model', y='Par',hue='opt',dodge=True,data=df,size=2,palette=['#469990','#000075'])
sns.pointplot(x="Model", y="Par", hue='opt', data=df,join=False,dodge=True,
ci=68,n_boot=1000,capsize=0.1,errwidth=0.5,scale = 1.5,palette=['k','k'])
ax.get_legend().remove()
plt.show()
Is there a way to align the pointplot mean+SEM and the corresponding swarmplot?
plot seaborn
asked Jan 19 at 23:33
AleAle
465
I am plotting this:
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
fig, ax = plt.subplots(nrows=1, ncols=1)
n=200
to_plot = np.random.uniform(low=0.0, high=1.0, size=n)
mods = ['a','b']
model_col = mods*(n/2)
opt=['1']*(n/2)+['2']*(n/2)
d={'Model':pd.Series(model_col),'Par':pd.Series(to_plot),'opt':pd.Series(opt)}
df = pd.DataFrame(d)
sns.swarmplot(x='Model', y='Par',hue='opt',dodge=True,data=df,size=2,palette=['#469990','#000075'])
sns.pointplot(x="Model", y="Par", hue='opt', data=df,join=False,dodge=True,
ci=68,n_boot=1000,capsize=0.1,errwidth=0.5,scale = 1.5,palette=['k','k'])
ax.get_legend().remove()
plt.show()
Is there a way to align the pointplot mean+SEM and the corresponding swarmplot?
plot seaborn
plot seaborn
asked Jan 19 at 23:33
AleAle
465
asked Jan 19 at 23:33
AleAle
465
asked Jan 19 at 23:33
AleAle
465
asked Jan 19 at 23:33
AleAle
465
asked Jan 19 at 23:33
AleAle
465
465
add a comment |
add a comment |
1 Answer
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It seems swarmplot and pointplot use different defaults for their respective dodge paramter. However you may set them to equal values, e.g.
sns.swarmplot(..., dodge=0.4)
sns.pointplot(..., dodge=0.4)
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
God, can't believe I missed that..... Thank you so much!
– Ale
Jan 21 at 16:04
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
It seems swarmplot and pointplot use different defaults for their respective dodge paramter. However you may set them to equal values, e.g.
sns.swarmplot(..., dodge=0.4)
sns.pointplot(..., dodge=0.4)
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
God, can't believe I missed that..... Thank you so much!
– Ale
Jan 21 at 16:04
add a comment |
1
It seems swarmplot and pointplot use different defaults for their respective dodge paramter. However you may set them to equal values, e.g.
sns.swarmplot(..., dodge=0.4)
sns.pointplot(..., dodge=0.4)
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
God, can't believe I missed that..... Thank you so much!
– Ale
Jan 21 at 16:04
add a comment |
1
1
1
It seems swarmplot and pointplot use different defaults for their respective dodge paramter. However you may set them to equal values, e.g.
sns.swarmplot(..., dodge=0.4)
sns.pointplot(..., dodge=0.4)
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
It seems swarmplot and pointplot use different defaults for their respective dodge paramter. However you may set them to equal values, e.g.
sns.swarmplot(..., dodge=0.4)
sns.pointplot(..., dodge=0.4)
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
answered Jan 20 at 22:15
ImportanceOfBeingErnestImportanceOfBeingErnest
131k13143218
131k13143218
God, can't believe I missed that..... Thank you so much!
– Ale
Jan 21 at 16:04
add a comment |
God, can't believe I missed that..... Thank you so much!
– Ale
Jan 21 at 16:04
God, can't believe I missed that..... Thank you so much!
– Ale
Jan 21 at 16:04
God, can't believe I missed that..... Thank you so much!
– Ale
Jan 21 at 16:04
add a comment |
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