How to pivot a dataframe with two columns with no index
10
I am trying to pivot my current two column dataframe which currently looks like this:
one two
a 12
b 32
c 12
I want to pivot this resulting in neither column becoming the index. My expected result is:
a b c
12 32 12
a, b, and c are the new columns. 12, 32, 12 are the values in the row.
Thanks
python pandas
asked yesterday
macyyy33macyyy33
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10
I am trying to pivot my current two column dataframe which currently looks like this:
one two
a 12
b 32
c 12
I want to pivot this resulting in neither column becoming the index. My expected result is:
a b c
12 32 12
a, b, and c are the new columns. 12, 32, 12 are the values in the row.
Thanks
python pandas
asked yesterday
macyyy33macyyy33
1026
New contributor
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
10
10
10
I am trying to pivot my current two column dataframe which currently looks like this:
one two
a 12
b 32
c 12
I want to pivot this resulting in neither column becoming the index. My expected result is:
a b c
12 32 12
a, b, and c are the new columns. 12, 32, 12 are the values in the row.
Thanks
python pandas
asked yesterday
macyyy33macyyy33
1026
New contributor
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I am trying to pivot my current two column dataframe which currently looks like this:
one two
a 12
b 32
c 12
I want to pivot this resulting in neither column becoming the index. My expected result is:
a b c
12 32 12
a, b, and c are the new columns. 12, 32, 12 are the values in the row.
Thanks
python pandas
python pandas
asked yesterday
macyyy33macyyy33
1026
New contributor
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
macyyy33macyyy33
1026
New contributor
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
macyyy33
asked yesterday
macyyy33macyyy33
1026
New contributor
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
macyyy33macyyy33
1026
asked yesterday
macyyy33macyyy33
1026
1026
New contributor
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
macyyy33 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
3 Answers
3
active
oldest
votes
5
Use set_index to move column 'one' into the index, then use T to transpose.
a.set_index('one').T
Output:
one a b c
two 12 32 12
Info:
<class 'pandas.core.frame.DataFrame'>
Index: 1 entries, two to two
Data columns (total 3 columns):
a 1 non-null int64
b 1 non-null int64
c 1 non-null int64
dtypes: int64(3)
memory usage: 28.0+ bytes
None
answered yesterday
Scott BostonScott Boston
55.9k73156
add a comment |
3
If this is your input:
a = pd.DataFrame([("a", 12), ("b", 32), ("c", 12)], columns=["one", "two"])
one two
0 a 12
1 b 32
2 c 12
Then a.transpose() results in this:
0 1 2
one a b c
two 12 32 12
Is this what you were looking for?
answered yesterday
Niklas MertschNiklas Mertsch
473115
You can usea.Tfor short.
– Scott Boston
yesterday
add a comment |
2
Giving everything the same index with .pivot_table
df.pivot_table(columns='one', index=df.index//len(df), values='two').rename_axis(None, axis=1)
#or with pivot
df = df.pivot(columns='one', index=df.index//len(df)).rename_axis([None, None], axis=1)
df.columns = [y for _,y in df.columns]
a b c
0 12 32 12
answered yesterday
ALollzALollz
14.2k31636
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
5
Use set_index to move column 'one' into the index, then use T to transpose.
a.set_index('one').T
Output:
one a b c
two 12 32 12
Info:
<class 'pandas.core.frame.DataFrame'>
Index: 1 entries, two to two
Data columns (total 3 columns):
a 1 non-null int64
b 1 non-null int64
c 1 non-null int64
dtypes: int64(3)
memory usage: 28.0+ bytes
None
answered yesterday
Scott BostonScott Boston
55.9k73156
add a comment |
5
Use set_index to move column 'one' into the index, then use T to transpose.
a.set_index('one').T
Output:
one a b c
two 12 32 12
Info:
<class 'pandas.core.frame.DataFrame'>
Index: 1 entries, two to two
Data columns (total 3 columns):
a 1 non-null int64
b 1 non-null int64
c 1 non-null int64
dtypes: int64(3)
memory usage: 28.0+ bytes
None
answered yesterday
Scott BostonScott Boston
55.9k73156
add a comment |
5
5
5
Use set_index to move column 'one' into the index, then use T to transpose.
a.set_index('one').T
Output:
one a b c
two 12 32 12
Info:
<class 'pandas.core.frame.DataFrame'>
Index: 1 entries, two to two
Data columns (total 3 columns):
a 1 non-null int64
b 1 non-null int64
c 1 non-null int64
dtypes: int64(3)
memory usage: 28.0+ bytes
None
answered yesterday
Scott BostonScott Boston
55.9k73156
Use set_index to move column 'one' into the index, then use T to transpose.
a.set_index('one').T
Output:
one a b c
two 12 32 12
Info:
<class 'pandas.core.frame.DataFrame'>
Index: 1 entries, two to two
Data columns (total 3 columns):
a 1 non-null int64
b 1 non-null int64
c 1 non-null int64
dtypes: int64(3)
memory usage: 28.0+ bytes
None
answered yesterday
Scott BostonScott Boston
55.9k73156
answered yesterday
Scott BostonScott Boston
55.9k73156
answered yesterday
Scott BostonScott Boston
55.9k73156
answered yesterday
Scott BostonScott Boston
55.9k73156
55.9k73156
add a comment |
add a comment |
3
If this is your input:
a = pd.DataFrame([("a", 12), ("b", 32), ("c", 12)], columns=["one", "two"])
one two
0 a 12
1 b 32
2 c 12
Then a.transpose() results in this:
0 1 2
one a b c
two 12 32 12
Is this what you were looking for?
answered yesterday
Niklas MertschNiklas Mertsch
473115
You can usea.Tfor short.
– Scott Boston
yesterday
add a comment |
3
If this is your input:
a = pd.DataFrame([("a", 12), ("b", 32), ("c", 12)], columns=["one", "two"])
one two
0 a 12
1 b 32
2 c 12
Then a.transpose() results in this:
0 1 2
one a b c
two 12 32 12
Is this what you were looking for?
answered yesterday
Niklas MertschNiklas Mertsch
473115
You can usea.Tfor short.
– Scott Boston
yesterday
add a comment |
3
3
3
If this is your input:
a = pd.DataFrame([("a", 12), ("b", 32), ("c", 12)], columns=["one", "two"])
one two
0 a 12
1 b 32
2 c 12
Then a.transpose() results in this:
0 1 2
one a b c
two 12 32 12
Is this what you were looking for?
answered yesterday
Niklas MertschNiklas Mertsch
473115
If this is your input:
a = pd.DataFrame([("a", 12), ("b", 32), ("c", 12)], columns=["one", "two"])
one two
0 a 12
1 b 32
2 c 12
Then a.transpose() results in this:
0 1 2
one a b c
two 12 32 12
Is this what you were looking for?
answered yesterday
Niklas MertschNiklas Mertsch
473115
answered yesterday
Niklas MertschNiklas Mertsch
473115
answered yesterday
Niklas MertschNiklas Mertsch
473115
answered yesterday
Niklas MertschNiklas Mertsch
473115
473115
You can usea.Tfor short.
– Scott Boston
yesterday
add a comment |
You can usea.Tfor short.
– Scott Boston
yesterday
You can use
a.T for short.– Scott Boston
yesterday
You can use
a.T for short.– Scott Boston
yesterday
add a comment |
2
Giving everything the same index with .pivot_table
df.pivot_table(columns='one', index=df.index//len(df), values='two').rename_axis(None, axis=1)
#or with pivot
df = df.pivot(columns='one', index=df.index//len(df)).rename_axis([None, None], axis=1)
df.columns = [y for _,y in df.columns]
a b c
0 12 32 12
answered yesterday
ALollzALollz
14.2k31636
add a comment |
2
Giving everything the same index with .pivot_table
df.pivot_table(columns='one', index=df.index//len(df), values='two').rename_axis(None, axis=1)
#or with pivot
df = df.pivot(columns='one', index=df.index//len(df)).rename_axis([None, None], axis=1)
df.columns = [y for _,y in df.columns]
a b c
0 12 32 12
answered yesterday
ALollzALollz
14.2k31636
add a comment |
2
2
2
Giving everything the same index with .pivot_table
df.pivot_table(columns='one', index=df.index//len(df), values='two').rename_axis(None, axis=1)
#or with pivot
df = df.pivot(columns='one', index=df.index//len(df)).rename_axis([None, None], axis=1)
df.columns = [y for _,y in df.columns]
a b c
0 12 32 12
answered yesterday
ALollzALollz
14.2k31636
Giving everything the same index with .pivot_table
df.pivot_table(columns='one', index=df.index//len(df), values='two').rename_axis(None, axis=1)
#or with pivot
df = df.pivot(columns='one', index=df.index//len(df)).rename_axis([None, None], axis=1)
df.columns = [y for _,y in df.columns]
a b c
0 12 32 12
answered yesterday
ALollzALollz
14.2k31636
answered yesterday
ALollzALollz
14.2k31636
answered yesterday
ALollzALollz
14.2k31636
answered yesterday
ALollzALollz
14.2k31636
14.2k31636
add a comment |
add a comment |
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