How to create a column in the existing dataframe with independent row values
I have a dataframe like this in padas DataFrame where A is the column name:
results.head()
A
when you are away
when I was away
when they are away
I want to add a new column B which would seem like the following:
A B
when you are away you
when I was away I
when they are away they,
I tried with this code but it did not work:
results.assign(B = you, I, they)
I am new to pandas dataframe and would very much appreciate the help.
python pandas jupyter-notebook
add a comment |
I have a dataframe like this in padas DataFrame where A is the column name:
results.head()
A
when you are away
when I was away
when they are away
I want to add a new column B which would seem like the following:
A B
when you are away you
when I was away I
when they are away they,
I tried with this code but it did not work:
results.assign(B = you, I, they)
I am new to pandas dataframe and would very much appreciate the help.
python pandas jupyter-notebook
add a comment |
I have a dataframe like this in padas DataFrame where A is the column name:
results.head()
A
when you are away
when I was away
when they are away
I want to add a new column B which would seem like the following:
A B
when you are away you
when I was away I
when they are away they,
I tried with this code but it did not work:
results.assign(B = you, I, they)
I am new to pandas dataframe and would very much appreciate the help.
python pandas jupyter-notebook
I have a dataframe like this in padas DataFrame where A is the column name:
results.head()
A
when you are away
when I was away
when they are away
I want to add a new column B which would seem like the following:
A B
when you are away you
when I was away I
when they are away they,
I tried with this code but it did not work:
results.assign(B = you, I, they)
I am new to pandas dataframe and would very much appreciate the help.
python pandas jupyter-notebook
python pandas jupyter-notebook
asked Nov 25 '18 at 9:14
RiponRipon
165
165
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
Try this:
B_list = ['you','I','they']
results['B'] = B_list
OR
results = results.assign(B=['you', 'I', 'they'])
@Ripon Since the answer helped you, please upvote it too. Thanks.
– Mayank Porwal
Dec 20 '18 at 12:39
add a comment |
If you are interested in placing the column in a specific location (index), then use the insert method:
results.insert(index, "ColName" , new_set)
otherwise, the answer by Mayank is simpler.
If you liked my answer, you can upvote too :D
– Mayank Porwal
Nov 28 '18 at 9:32
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
Try this:
B_list = ['you','I','they']
results['B'] = B_list
OR
results = results.assign(B=['you', 'I', 'they'])
@Ripon Since the answer helped you, please upvote it too. Thanks.
– Mayank Porwal
Dec 20 '18 at 12:39
add a comment |
Try this:
B_list = ['you','I','they']
results['B'] = B_list
OR
results = results.assign(B=['you', 'I', 'they'])
@Ripon Since the answer helped you, please upvote it too. Thanks.
– Mayank Porwal
Dec 20 '18 at 12:39
add a comment |
Try this:
B_list = ['you','I','they']
results['B'] = B_list
OR
results = results.assign(B=['you', 'I', 'they'])
Try this:
B_list = ['you','I','they']
results['B'] = B_list
OR
results = results.assign(B=['you', 'I', 'they'])
edited Nov 25 '18 at 9:28
answered Nov 25 '18 at 9:20
Mayank PorwalMayank Porwal
4,9072724
4,9072724
@Ripon Since the answer helped you, please upvote it too. Thanks.
– Mayank Porwal
Dec 20 '18 at 12:39
add a comment |
@Ripon Since the answer helped you, please upvote it too. Thanks.
– Mayank Porwal
Dec 20 '18 at 12:39
@Ripon Since the answer helped you, please upvote it too. Thanks.
– Mayank Porwal
Dec 20 '18 at 12:39
@Ripon Since the answer helped you, please upvote it too. Thanks.
– Mayank Porwal
Dec 20 '18 at 12:39
add a comment |
If you are interested in placing the column in a specific location (index), then use the insert method:
results.insert(index, "ColName" , new_set)
otherwise, the answer by Mayank is simpler.
If you liked my answer, you can upvote too :D
– Mayank Porwal
Nov 28 '18 at 9:32
add a comment |
If you are interested in placing the column in a specific location (index), then use the insert method:
results.insert(index, "ColName" , new_set)
otherwise, the answer by Mayank is simpler.
If you liked my answer, you can upvote too :D
– Mayank Porwal
Nov 28 '18 at 9:32
add a comment |
If you are interested in placing the column in a specific location (index), then use the insert method:
results.insert(index, "ColName" , new_set)
otherwise, the answer by Mayank is simpler.
If you are interested in placing the column in a specific location (index), then use the insert method:
results.insert(index, "ColName" , new_set)
otherwise, the answer by Mayank is simpler.
answered Nov 25 '18 at 9:32
Zakaria TalhamiZakaria Talhami
746
746
If you liked my answer, you can upvote too :D
– Mayank Porwal
Nov 28 '18 at 9:32
add a comment |
If you liked my answer, you can upvote too :D
– Mayank Porwal
Nov 28 '18 at 9:32
If you liked my answer, you can upvote too :D
– Mayank Porwal
Nov 28 '18 at 9:32
If you liked my answer, you can upvote too :D
– Mayank Porwal
Nov 28 '18 at 9:32
add a comment |
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