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Save panda boxplot as image

1

I'm trying to save a pandas.DataFrame.boxplot variable to a image to use it with a Qt widget, but I don't know how to convert this variable. I have this code:

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
plt.figure();
bp = df.boxplot()

And Spyder shows it:

Are there instructions to do it automatically within the code?

python pandas boxplot

share|improve this question

edited Mar 7 at 15:26

Leos313

1,62411536

asked May 29 '17 at 14:12

Daniel GarciaDaniel Garcia

104

add a comment | 

1

I'm trying to save a pandas.DataFrame.boxplot variable to a image to use it with a Qt widget, but I don't know how to convert this variable. I have this code:

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
plt.figure();
bp = df.boxplot()

And Spyder shows it:

Are there instructions to do it automatically within the code?

python pandas boxplot

share|improve this question

edited Mar 7 at 15:26

Leos313

1,62411536

asked May 29 '17 at 14:12

Daniel GarciaDaniel Garcia

104

add a comment | 

I'm trying to save a pandas.DataFrame.boxplot variable to a image to use it with a Qt widget, but I don't know how to convert this variable. I have this code:

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
plt.figure();
bp = df.boxplot()

And Spyder shows it:

Are there instructions to do it automatically within the code?

python pandas boxplot

share|improve this question

edited Mar 7 at 15:26

Leos313

1,62411536

asked May 29 '17 at 14:12

Daniel GarciaDaniel Garcia

104

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
plt.figure();
bp = df.boxplot()

share|improve this question

edited Mar 7 at 15:26

Leos313

1,62411536

asked May 29 '17 at 14:12

Daniel GarciaDaniel Garcia

104

share|improve this question

edited Mar 7 at 15:26

Leos313

1,62411536

asked May 29 '17 at 14:12

Daniel GarciaDaniel Garcia

104

edited Mar 7 at 15:26

Leos313

1,62411536

edited Mar 7 at 15:26

Leos313

1,62411536

asked May 29 '17 at 14:12

Daniel GarciaDaniel Garcia

104

asked May 29 '17 at 14:12

Daniel GarciaDaniel Garcia

104

2 Answers
2

active

oldest

votes

1

Are you looking for a standard image format?

If so this will do the trick:

import matplotlib.pyplot as plt
plt.savefig()

docs:
https://matplotlib.org/devdocs/api/_as_gen/matplotlib.pyplot.savefig.html

share|improve this answer

answered May 29 '17 at 14:18

Andrew LAndrew L

3,1732922

add a comment | 

0

Suppose you have multiple figures and you want to save them independently when you want in the code: make sure you can access it by a unique name:

fig100 = figure() 
outputBoxplot100 = df_100.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("100 MHz")
fig150 = figure()
outputBoxplot150 = df_150.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("150 MHz")

# do other stuff

fig100.savefig("test100.svg", format="svg")
fig150.savefig("test150.svg", format="svg")

In this case, I would change your code in:

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
myFig = plt.figure();
bp = df.boxplot()
myFig.savefig("myName.svg", format="svg")

The result will be a saved file named "myName.svg":

share|improve this answer

edited Mar 7 at 15:39

answered Mar 7 at 13:56

Leos313Leos313

1,62411536

add a comment | 

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1

Are you looking for a standard image format?

If so this will do the trick:

import matplotlib.pyplot as plt
plt.savefig()

docs:
https://matplotlib.org/devdocs/api/_as_gen/matplotlib.pyplot.savefig.html

share|improve this answer

answered May 29 '17 at 14:18

Andrew LAndrew L

3,1732922

add a comment | 

1

Are you looking for a standard image format?

If so this will do the trick:

import matplotlib.pyplot as plt
plt.savefig()

docs:
https://matplotlib.org/devdocs/api/_as_gen/matplotlib.pyplot.savefig.html

share|improve this answer

answered May 29 '17 at 14:18

Andrew LAndrew L

3,1732922

add a comment | 

Are you looking for a standard image format?

If so this will do the trick:

import matplotlib.pyplot as plt
plt.savefig()

docs:
https://matplotlib.org/devdocs/api/_as_gen/matplotlib.pyplot.savefig.html

share|improve this answer

answered May 29 '17 at 14:18

Andrew LAndrew L

3,1732922

import matplotlib.pyplot as plt
plt.savefig()

share|improve this answer

answered May 29 '17 at 14:18

Andrew LAndrew L

3,1732922

answered May 29 '17 at 14:18

Andrew LAndrew L

3,1732922

answered May 29 '17 at 14:18

Andrew LAndrew L

3,1732922

0

Suppose you have multiple figures and you want to save them independently when you want in the code: make sure you can access it by a unique name:

fig100 = figure() 
outputBoxplot100 = df_100.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("100 MHz")
fig150 = figure()
outputBoxplot150 = df_150.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("150 MHz")

# do other stuff

fig100.savefig("test100.svg", format="svg")
fig150.savefig("test150.svg", format="svg")

In this case, I would change your code in:

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
myFig = plt.figure();
bp = df.boxplot()
myFig.savefig("myName.svg", format="svg")

The result will be a saved file named "myName.svg":

share|improve this answer

edited Mar 7 at 15:39

answered Mar 7 at 13:56

Leos313Leos313

1,62411536

add a comment | 

0

Suppose you have multiple figures and you want to save them independently when you want in the code: make sure you can access it by a unique name:

fig100 = figure() 
outputBoxplot100 = df_100.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("100 MHz")
fig150 = figure()
outputBoxplot150 = df_150.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("150 MHz")

# do other stuff

fig100.savefig("test100.svg", format="svg")
fig150.savefig("test150.svg", format="svg")

In this case, I would change your code in:

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
myFig = plt.figure();
bp = df.boxplot()
myFig.savefig("myName.svg", format="svg")

The result will be a saved file named "myName.svg":

share|improve this answer

edited Mar 7 at 15:39

answered Mar 7 at 13:56

Leos313Leos313

1,62411536

add a comment | 

Suppose you have multiple figures and you want to save them independently when you want in the code: make sure you can access it by a unique name:

fig100 = figure() 
outputBoxplot100 = df_100.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("100 MHz")
fig150 = figure()
outputBoxplot150 = df_150.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("150 MHz")

# do other stuff

fig100.savefig("test100.svg", format="svg")
fig150.savefig("test150.svg", format="svg")

In this case, I would change your code in:

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
myFig = plt.figure();
bp = df.boxplot()
myFig.savefig("myName.svg", format="svg")

The result will be a saved file named "myName.svg":

share|improve this answer

edited Mar 7 at 15:39

answered Mar 7 at 13:56

Leos313Leos313

1,62411536

fig100 = figure() 
outputBoxplot100 = df_100.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("100 MHz")
fig150 = figure()
outputBoxplot150 = df_150.boxplot(column=['1', '2', '4', '5', '8'])
plt.title("150 MHz")

# do other stuff

fig100.savefig("test100.svg", format="svg")
fig150.savefig("test150.svg", format="svg")

import matplotlib.pyplot as plt
from pandas import DataFrame
import numpy as np


df = DataFrame(np.random.rand(10,5))
myFig = plt.figure();
bp = df.boxplot()
myFig.savefig("myName.svg", format="svg")

share|improve this answer

edited Mar 7 at 15:39

answered Mar 7 at 13:56

Leos313Leos313

1,62411536

answered Mar 7 at 13:56

Leos313Leos313

1,62411536

answered Mar 7 at 13:56

Leos313Leos313

1,62411536