is there a way output 2 arrays separately in same cell in jupyter notebook

-3

I am exploring a dataset, I need to print the array, here is what i got.

enter image description here

my question is:

is there a way output 2 arrays (a and a[::2]) in the same cell as there are enough space to do this? like this.

enter image description here

I've tried different print method, none works

edited Jan 1 at 8:40

Cœur

18.6k9110150

asked Oct 5 '18 at 0:43

singularli

203

1

Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. In particular, off-site links to details of your question are not acceptable.

– Prune
Oct 5 '18 at 0:46

Have you tried printing both of them?

– Aviv Shai
Oct 5 '18 at 0:47

@Prune would please point out which is the 'off-site links' ?

– singularli
Oct 5 '18 at 0:55

@AvivShai yes, does not work

– singularli
Oct 5 '18 at 0:59

You posted two links: both are off site, both are images of text, each of which violates the posting guidelines.

– Prune
Oct 5 '18 at 15:45

|
show 2 more comments

-3

I am exploring a dataset, I need to print the array, here is what i got.

enter image description here

my question is:

is there a way output 2 arrays (a and a[::2]) in the same cell as there are enough space to do this? like this.

enter image description here

I've tried different print method, none works

edited Jan 1 at 8:40

Cœur

18.6k9110150

asked Oct 5 '18 at 0:43

singularli

203

1

Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. In particular, off-site links to details of your question are not acceptable.

– Prune
Oct 5 '18 at 0:46

Have you tried printing both of them?

– Aviv Shai
Oct 5 '18 at 0:47

@Prune would please point out which is the 'off-site links' ?

– singularli
Oct 5 '18 at 0:55

@AvivShai yes, does not work

– singularli
Oct 5 '18 at 0:59

You posted two links: both are off site, both are images of text, each of which violates the posting guidelines.

– Prune
Oct 5 '18 at 15:45

|
show 2 more comments

-3

I am exploring a dataset, I need to print the array, here is what i got.

enter image description here

my question is:

is there a way output 2 arrays (a and a[::2]) in the same cell as there are enough space to do this? like this.

enter image description here

I've tried different print method, none works

edited Jan 1 at 8:40

Cœur

18.6k9110150

asked Oct 5 '18 at 0:43

singularli

203

I am exploring a dataset, I need to print the array, here is what i got.

enter image description here

my question is:

is there a way output 2 arrays (a and a[::2]) in the same cell as there are enough space to do this? like this.

enter image description here

I've tried different print method, none works

python numpy jupyter-notebook

edited Jan 1 at 8:40

Cœur

18.6k9110150

asked Oct 5 '18 at 0:43

singularli

203

edited Jan 1 at 8:40

Cœur

18.6k9110150

asked Oct 5 '18 at 0:43

singularli

203

edited Jan 1 at 8:40

Cœur

18.6k9110150

edited Jan 1 at 8:40

Cœur

18.6k9110150

edited Jan 1 at 8:40

Cœur

18.6k9110150

asked Oct 5 '18 at 0:43

singularli

203

asked Oct 5 '18 at 0:43

singularli

203

asked Oct 5 '18 at 0:43

singularli

203

1

Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. In particular, off-site links to details of your question are not acceptable.

– Prune
Oct 5 '18 at 0:46

Have you tried printing both of them?

– Aviv Shai
Oct 5 '18 at 0:47

@Prune would please point out which is the 'off-site links' ?

– singularli
Oct 5 '18 at 0:55

@AvivShai yes, does not work

– singularli
Oct 5 '18 at 0:59

You posted two links: both are off site, both are images of text, each of which violates the posting guidelines.

– Prune
Oct 5 '18 at 15:45

|
show 2 more comments

1

Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. In particular, off-site links to details of your question are not acceptable.

– Prune
Oct 5 '18 at 0:46

Have you tried printing both of them?

– Aviv Shai
Oct 5 '18 at 0:47

@Prune would please point out which is the 'off-site links' ?

– singularli
Oct 5 '18 at 0:55

@AvivShai yes, does not work

– singularli
Oct 5 '18 at 0:59

You posted two links: both are off site, both are images of text, each of which violates the posting guidelines.

– Prune
Oct 5 '18 at 15:45

Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. In particular, off-site links to details of your question are not acceptable.

– Prune
Oct 5 '18 at 0:46

Have you tried printing both of them?

– Aviv Shai
Oct 5 '18 at 0:47

@Prune would please point out which is the 'off-site links' ?

– singularli
Oct 5 '18 at 0:55

@AvivShai yes, does not work

– singularli
Oct 5 '18 at 0:59

You posted two links: both are off site, both are images of text, each of which violates the posting guidelines.

– Prune
Oct 5 '18 at 15:45

|
show 2 more comments

1 Answer
1

active

oldest

votes

@Aviv Shai 's answer is helpful

this answer gives a hint
display_side_by_side

here is my code

import pandas as pd

import numpy as np

from IPython.display import display_html



def display_arr_side_by_side(*arrays):

    html_str=''

    for arr in arrays:

        df = pd.DataFrame(arr)

        html_str+=df.to_html()

    display_html(html_str.replace('table','table style="display:inline"'),raw=True)



a93 = np.arange(27).reshape((9,3))

display_arr_side_by_side(a93[:-1],a93[:-2])

answered Oct 6 '18 at 1:43

singularli

203

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

@Aviv Shai 's answer is helpful

this answer gives a hint
display_side_by_side

here is my code

import pandas as pd

import numpy as np

from IPython.display import display_html



def display_arr_side_by_side(*arrays):

    html_str=''

    for arr in arrays:

        df = pd.DataFrame(arr)

        html_str+=df.to_html()

    display_html(html_str.replace('table','table style="display:inline"'),raw=True)



a93 = np.arange(27).reshape((9,3))

display_arr_side_by_side(a93[:-1],a93[:-2])

answered Oct 6 '18 at 1:43

singularli

203

add a comment |

@Aviv Shai 's answer is helpful

this answer gives a hint
display_side_by_side

here is my code

import pandas as pd

import numpy as np

from IPython.display import display_html



def display_arr_side_by_side(*arrays):

    html_str=''

    for arr in arrays:

        df = pd.DataFrame(arr)

        html_str+=df.to_html()

    display_html(html_str.replace('table','table style="display:inline"'),raw=True)



a93 = np.arange(27).reshape((9,3))

display_arr_side_by_side(a93[:-1],a93[:-2])

answered Oct 6 '18 at 1:43

singularli

203

add a comment |

@Aviv Shai 's answer is helpful

this answer gives a hint
display_side_by_side

here is my code

import pandas as pd

import numpy as np

from IPython.display import display_html



def display_arr_side_by_side(*arrays):

    html_str=''

    for arr in arrays:

        df = pd.DataFrame(arr)

        html_str+=df.to_html()

    display_html(html_str.replace('table','table style="display:inline"'),raw=True)



a93 = np.arange(27).reshape((9,3))

display_arr_side_by_side(a93[:-1],a93[:-2])

answered Oct 6 '18 at 1:43

singularli

203

@Aviv Shai 's answer is helpful

this answer gives a hint
display_side_by_side

here is my code

import pandas as pd

import numpy as np

from IPython.display import display_html



def display_arr_side_by_side(*arrays):

    html_str=''

    for arr in arrays:

        df = pd.DataFrame(arr)

        html_str+=df.to_html()

    display_html(html_str.replace('table','table style="display:inline"'),raw=True)



a93 = np.arange(27).reshape((9,3))

display_arr_side_by_side(a93[:-1],a93[:-2])

answered Oct 6 '18 at 1:43

singularli

203

answered Oct 6 '18 at 1:43

singularli

203

answered Oct 6 '18 at 1:43

singularli

203

answered Oct 6 '18 at 1:43

singularli

203

add a comment |

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