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How to add droplines to a seaborn scatterplot?

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0

Using the following example code in a Jupyter notebook:

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

The resulting plot shows the data points, but I would also like to have vertical drop lines and occasionally horizontal ones as well. To clarify what I mean by droplines, here is a mockup of the actual vs. the desired output:

Update: A little more complex input that makes it harder to manually draw the lines:

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(20, 3), columns=['a', 'b', 'c'])
df['d'] = ['apples', 'bananas', 'cherries', 'dates'] * 5
sns.set()
g = sns.relplot(data=df, x='a', y='b', hue='c', col='d', col_wrap=2, kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

matplotlib seaborn

share|improve this question

edited Mar 27 at 7:44

Zoltan

asked Mar 26 at 21:15

ZoltanZoltan

1,62355 silver badges1616 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  If (x0, y0) is the point to create a line for, the respective line would be plt.plot([x0, x0, 0], [0, y0, y0]), right?
  
  – ImportanceOfBeingErnest
  Mar 26 at 21:24
  

  
  
  
  

add a comment | 

0

Using the following example code in a Jupyter notebook:

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

The resulting plot shows the data points, but I would also like to have vertical drop lines and occasionally horizontal ones as well. To clarify what I mean by droplines, here is a mockup of the actual vs. the desired output:

Update: A little more complex input that makes it harder to manually draw the lines:

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(20, 3), columns=['a', 'b', 'c'])
df['d'] = ['apples', 'bananas', 'cherries', 'dates'] * 5
sns.set()
g = sns.relplot(data=df, x='a', y='b', hue='c', col='d', col_wrap=2, kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

matplotlib seaborn

share|improve this question

edited Mar 27 at 7:44

Zoltan

asked Mar 26 at 21:15

ZoltanZoltan

1,62355 silver badges1616 bronze badges

• 
  
  
  

  
  

  
  
  
  
  
  

  
  
  If (x0, y0) is the point to create a line for, the respective line would be plt.plot([x0, x0, 0], [0, y0, y0]), right?
  
  – ImportanceOfBeingErnest
  Mar 26 at 21:24
  

  
  
  
  

add a comment | 

Using the following example code in a Jupyter notebook:

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

The resulting plot shows the data points, but I would also like to have vertical drop lines and occasionally horizontal ones as well. To clarify what I mean by droplines, here is a mockup of the actual vs. the desired output:

Update: A little more complex input that makes it harder to manually draw the lines:

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(20, 3), columns=['a', 'b', 'c'])
df['d'] = ['apples', 'bananas', 'cherries', 'dates'] * 5
sns.set()
g = sns.relplot(data=df, x='a', y='b', hue='c', col='d', col_wrap=2, kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

matplotlib seaborn

share|improve this question

edited Mar 27 at 7:44

Zoltan

asked Mar 26 at 21:15

ZoltanZoltan

1,62355 silver badges1616 bronze badges

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

import pandas as pd
import seaborn as sns
import numpy as np

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

df = pd.DataFrame(np.random.rand(20, 3), columns=['a', 'b', 'c'])
df['d'] = ['apples', 'bananas', 'cherries', 'dates'] * 5
sns.set()
g = sns.relplot(data=df, x='a', y='b', hue='c', col='d', col_wrap=2, kind='scatter');
g.set(xlim=(0, 1))
g.set(ylim=(0, 1));

share|improve this question

edited Mar 27 at 7:44

Zoltan

asked Mar 26 at 21:15

ZoltanZoltan

1,62355 silver badges1616 bronze badges

share|improve this question

edited Mar 27 at 7:44

Zoltan

asked Mar 26 at 21:15

ZoltanZoltan

1,62355 silver badges1616 bronze badges

asked Mar 26 at 21:15

ZoltanZoltan

1,62355 silver badges1616 bronze badges

asked Mar 26 at 21:15

ZoltanZoltan

1,62355 silver badges1616 bronze badges

1 Answer
1

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oldest

votes

1

There are several ways to plot vertical/horizontal lines. One of the is to use hlines or vlines. This can be done using a loop for sake of ease.

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np; np.random.seed(121)

fig, ax = plt.subplots()

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter', color='blue', ax=ax);

for x, y in zip(df['a'], df['b']):
 ax.hlines(y, 0, x, color='blue')
 ax.vlines(x, 0, y, color='blue')
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)

plt.close(g.fig)

share|improve this answer

edited Mar 27 at 8:19

Zoltan

1,62355 silver badges1616 bronze badges

answered Mar 26 at 21:27

SheldoreSheldore

21.7k55 gold badges1515 silver badges3737 bronze badges

add a comment | 

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1

There are several ways to plot vertical/horizontal lines. One of the is to use hlines or vlines. This can be done using a loop for sake of ease.

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np; np.random.seed(121)

fig, ax = plt.subplots()

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter', color='blue', ax=ax);

for x, y in zip(df['a'], df['b']):
 ax.hlines(y, 0, x, color='blue')
 ax.vlines(x, 0, y, color='blue')
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)

plt.close(g.fig)

share|improve this answer

edited Mar 27 at 8:19

Zoltan

1,62355 silver badges1616 bronze badges

answered Mar 26 at 21:27

SheldoreSheldore

21.7k55 gold badges1515 silver badges3737 bronze badges

add a comment | 

1

There are several ways to plot vertical/horizontal lines. One of the is to use hlines or vlines. This can be done using a loop for sake of ease.

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np; np.random.seed(121)

fig, ax = plt.subplots()

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter', color='blue', ax=ax);

for x, y in zip(df['a'], df['b']):
 ax.hlines(y, 0, x, color='blue')
 ax.vlines(x, 0, y, color='blue')
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)

plt.close(g.fig)

share|improve this answer

edited Mar 27 at 8:19

Zoltan

1,62355 silver badges1616 bronze badges

answered Mar 26 at 21:27

SheldoreSheldore

21.7k55 gold badges1515 silver badges3737 bronze badges

add a comment | 

There are several ways to plot vertical/horizontal lines. One of the is to use hlines or vlines. This can be done using a loop for sake of ease.

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np; np.random.seed(121)

fig, ax = plt.subplots()

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter', color='blue', ax=ax);

for x, y in zip(df['a'], df['b']):
 ax.hlines(y, 0, x, color='blue')
 ax.vlines(x, 0, y, color='blue')
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)

plt.close(g.fig)

share|improve this answer

edited Mar 27 at 8:19

Zoltan

1,62355 silver badges1616 bronze badges

answered Mar 26 at 21:27

SheldoreSheldore

21.7k55 gold badges1515 silver badges3737 bronze badges

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np; np.random.seed(121)

fig, ax = plt.subplots()

df = pd.DataFrame(np.random.rand(5, 2), columns=['a', 'b'])
sns.set()
g = sns.relplot(data=df, x='a', y='b', kind='scatter', color='blue', ax=ax);

for x, y in zip(df['a'], df['b']):
 ax.hlines(y, 0, x, color='blue')
 ax.vlines(x, 0, y, color='blue')
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)

plt.close(g.fig)

share|improve this answer

edited Mar 27 at 8:19

Zoltan

1,62355 silver badges1616 bronze badges

answered Mar 26 at 21:27

SheldoreSheldore

21.7k55 gold badges1515 silver badges3737 bronze badges

edited Mar 27 at 8:19

Zoltan

1,62355 silver badges1616 bronze badges

edited Mar 27 at 8:19

Zoltan

1,62355 silver badges1616 bronze badges

answered Mar 26 at 21:27

SheldoreSheldore

21.7k55 gold badges1515 silver badges3737 bronze badges

answered Mar 26 at 21:27

SheldoreSheldore

21.7k55 gold badges1515 silver badges3737 bronze badges