Print plain output with only a space in python
I have a dataframe with following columns and index :
first sec
0 z 50
2 b 3
1 a 3
4 c 2
5 e 1
I want to print this plain output :
z 50
b 3
a 3
c 2
e 1
I have used to_string , but its not giving desired results , i have used some loops too , but nothing is giving desired results
python python-3.x python-2.7 pandas
asked Nov 14 '18 at 19:43
Mighty
706
add a comment |
I have a dataframe with following columns and index :
first sec
0 z 50
2 b 3
1 a 3
4 c 2
5 e 1
I want to print this plain output :
z 50
b 3
a 3
c 2
e 1
I have used to_string , but its not giving desired results , i have used some loops too , but nothing is giving desired results
python python-3.x python-2.7 pandas
asked Nov 14 '18 at 19:43
Mighty
706
Are the columns guaranteed to take one character?
– Willem Van Onsem
Nov 14 '18 at 19:43
@WillemVanOnsem Yes, I just updated the question , first column will alwasys take one character , second column can have multiple characters just like I did in my edit
– Mighty
Nov 14 '18 at 19:48
add a comment |
I have a dataframe with following columns and index :
first sec
0 z 50
2 b 3
1 a 3
4 c 2
5 e 1
I want to print this plain output :
z 50
b 3
a 3
c 2
e 1
I have used to_string , but its not giving desired results , i have used some loops too , but nothing is giving desired results
python python-3.x python-2.7 pandas
asked Nov 14 '18 at 19:43
Mighty
706
I have a dataframe with following columns and index :
first sec
0 z 50
2 b 3
1 a 3
4 c 2
5 e 1
I want to print this plain output :
z 50
b 3
a 3
c 2
e 1
I have used to_string , but its not giving desired results , i have used some loops too , but nothing is giving desired results
python python-3.x python-2.7 pandas
python python-3.x python-2.7 pandas
asked Nov 14 '18 at 19:43
Mighty
706
asked Nov 14 '18 at 19:43
Mighty
706
edited Nov 14 '18 at 19:47
asked Nov 14 '18 at 19:43
Mighty
706
asked Nov 14 '18 at 19:43
Mighty
706
asked Nov 14 '18 at 19:43
Mighty
706
706
Are the columns guaranteed to take one character?
– Willem Van Onsem
Nov 14 '18 at 19:43
@WillemVanOnsem Yes, I just updated the question , first column will alwasys take one character , second column can have multiple characters just like I did in my edit
– Mighty
Nov 14 '18 at 19:48
add a comment |
Are the columns guaranteed to take one character?
– Willem Van Onsem
Nov 14 '18 at 19:43
@WillemVanOnsem Yes, I just updated the question , first column will alwasys take one character , second column can have multiple characters just like I did in my edit
– Mighty
Nov 14 '18 at 19:48
Are the columns guaranteed to take one character?
– Willem Van Onsem
Nov 14 '18 at 19:43
Are the columns guaranteed to take one character?
– Willem Van Onsem
Nov 14 '18 at 19:43
@WillemVanOnsem Yes, I just updated the question , first column will alwasys take one character , second column can have multiple characters just like I did in my edit
– Mighty
Nov 14 '18 at 19:48
@WillemVanOnsem Yes, I just updated the question , first column will alwasys take one character , second column can have multiple characters just like I did in my edit
– Mighty
Nov 14 '18 at 19:48
add a comment |
1 Answer
1
active
oldest
votes
Use to_string specifying header and index to be None
>>> print(df.to_string(header=None, index=None))
z 50
b 3
a 3
c 2
e 1
If you want exactly your output, you can play with the series by adding exactly one space and then your next series.
>>> x = df['first'].add(' ').add(df['sec'].astype(str)).to_string(index=None).replace('n ', 'n')
z 50
b 3
a 3
c 2
e 1
answered Nov 14 '18 at 19:51
RafaelC
26k82649
spaces are many , i want something like exactly in my question
– Mighty
Nov 14 '18 at 19:55
@Mighty you can play with the series.. will edit
– RafaelC
Nov 14 '18 at 20:04
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Use to_string specifying header and index to be None
>>> print(df.to_string(header=None, index=None))
z 50
b 3
a 3
c 2
e 1
If you want exactly your output, you can play with the series by adding exactly one space and then your next series.
>>> x = df['first'].add(' ').add(df['sec'].astype(str)).to_string(index=None).replace('n ', 'n')
z 50
b 3
a 3
c 2
e 1
answered Nov 14 '18 at 19:51
RafaelC
26k82649
spaces are many , i want something like exactly in my question
– Mighty
Nov 14 '18 at 19:55
@Mighty you can play with the series.. will edit
– RafaelC
Nov 14 '18 at 20:04
add a comment |
Use to_string specifying header and index to be None
>>> print(df.to_string(header=None, index=None))
z 50
b 3
a 3
c 2
e 1
If you want exactly your output, you can play with the series by adding exactly one space and then your next series.
>>> x = df['first'].add(' ').add(df['sec'].astype(str)).to_string(index=None).replace('n ', 'n')
z 50
b 3
a 3
c 2
e 1
answered Nov 14 '18 at 19:51
RafaelC
26k82649
spaces are many , i want something like exactly in my question
– Mighty
Nov 14 '18 at 19:55
@Mighty you can play with the series.. will edit
– RafaelC
Nov 14 '18 at 20:04
add a comment |
Use to_string specifying header and index to be None
>>> print(df.to_string(header=None, index=None))
z 50
b 3
a 3
c 2
e 1
If you want exactly your output, you can play with the series by adding exactly one space and then your next series.
>>> x = df['first'].add(' ').add(df['sec'].astype(str)).to_string(index=None).replace('n ', 'n')
z 50
b 3
a 3
c 2
e 1
answered Nov 14 '18 at 19:51
RafaelC
26k82649
Use to_string specifying header and index to be None
>>> print(df.to_string(header=None, index=None))
z 50
b 3
a 3
c 2
e 1
If you want exactly your output, you can play with the series by adding exactly one space and then your next series.
>>> x = df['first'].add(' ').add(df['sec'].astype(str)).to_string(index=None).replace('n ', 'n')
z 50
b 3
a 3
c 2
e 1
answered Nov 14 '18 at 19:51
RafaelC
26k82649
edited Nov 14 '18 at 20:05
answered Nov 14 '18 at 19:51
RafaelC
26k82649
answered Nov 14 '18 at 19:51
RafaelC
26k82649
answered Nov 14 '18 at 19:51
RafaelC
26k82649
26k82649
spaces are many , i want something like exactly in my question
– Mighty
Nov 14 '18 at 19:55
@Mighty you can play with the series.. will edit
– RafaelC
Nov 14 '18 at 20:04
add a comment |
spaces are many , i want something like exactly in my question
– Mighty
Nov 14 '18 at 19:55
@Mighty you can play with the series.. will edit
– RafaelC
Nov 14 '18 at 20:04
spaces are many , i want something like exactly in my question
– Mighty
Nov 14 '18 at 19:55
spaces are many , i want something like exactly in my question
– Mighty
Nov 14 '18 at 19:55
@Mighty you can play with the series.. will edit
– RafaelC
Nov 14 '18 at 20:04
@Mighty you can play with the series.. will edit
– RafaelC
Nov 14 '18 at 20:04
add a comment |
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Are the columns guaranteed to take one character?
– Willem Van Onsem
Nov 14 '18 at 19:43
@WillemVanOnsem Yes, I just updated the question , first column will alwasys take one character , second column can have multiple characters just like I did in my edit
– Mighty
Nov 14 '18 at 19:48