How to display pandas Series in pretty way?
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I am working with pandas in jupyter notebook. It's easy to adjust the display of DataFrame, like using pandas.set_options or import IPython.display or any suggestion from here
However it seems those methods don't apply to a Series or maybe I didn't find the right key. Particularly for my case where the Series comes from DataFrame.loc, and it has a long sentence as the value. I did pd.set_options('max_colwidth', -1) to get the whole text displayed. However it prints like below:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
How to make it printed like:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
Here is sample of my Series (though actually I'm getting Series by selecting a row in Dataframe):
import pandas as pd
pd.set_options('max_colwidth', -1)
s = pd.Series(['Which of the following cloud computing products have you used at work or school in the last 5 years (Select all that apply)? - Selected Choice', 'What metrics do you or your organization use to determine whether or not your models were successful? (Select all that apply) - Selected Choice'])
python pandas jupyter-notebook
asked Nov 8 at 11:29
bakka
698317
|
show 2 more comments
up vote
-2
down vote
favorite
I am working with pandas in jupyter notebook. It's easy to adjust the display of DataFrame, like using pandas.set_options or import IPython.display or any suggestion from here
However it seems those methods don't apply to a Series or maybe I didn't find the right key. Particularly for my case where the Series comes from DataFrame.loc, and it has a long sentence as the value. I did pd.set_options('max_colwidth', -1) to get the whole text displayed. However it prints like below:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
How to make it printed like:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
Here is sample of my Series (though actually I'm getting Series by selecting a row in Dataframe):
import pandas as pd
pd.set_options('max_colwidth', -1)
s = pd.Series(['Which of the following cloud computing products have you used at work or school in the last 5 years (Select all that apply)? - Selected Choice', 'What metrics do you or your organization use to determine whether or not your models were successful? (Select all that apply) - Selected Choice'])
python pandas jupyter-notebook
asked Nov 8 at 11:29
bakka
698317
3
What is the actual series? What did you do to get that output? What is the desired output?
– Goyo
Nov 8 at 11:38
2
Please define an example series explicitly, e.g.s = pd.Series(['.....', '.....']). If we can't reproduce your problem, it's unlikely we can resolve it.
– jpp
Nov 8 at 11:46
Sorry, I forgot to do that. Hope its clearer now
– bakka
Nov 8 at 11:52
@bakka, I can't replicate, I suggest you provide some version numbers (Python, Pandas, Ipython).
– jpp
Nov 8 at 11:57
1
@jpp Ah ok. I didpd.set_options('max_colwidth', -1)to get whole text displayed.
– bakka
Nov 8 at 12:17
|
show 2 more comments
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
I am working with pandas in jupyter notebook. It's easy to adjust the display of DataFrame, like using pandas.set_options or import IPython.display or any suggestion from here
However it seems those methods don't apply to a Series or maybe I didn't find the right key. Particularly for my case where the Series comes from DataFrame.loc, and it has a long sentence as the value. I did pd.set_options('max_colwidth', -1) to get the whole text displayed. However it prints like below:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
How to make it printed like:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
Here is sample of my Series (though actually I'm getting Series by selecting a row in Dataframe):
import pandas as pd
pd.set_options('max_colwidth', -1)
s = pd.Series(['Which of the following cloud computing products have you used at work or school in the last 5 years (Select all that apply)? - Selected Choice', 'What metrics do you or your organization use to determine whether or not your models were successful? (Select all that apply) - Selected Choice'])
python pandas jupyter-notebook
asked Nov 8 at 11:29
bakka
698317
I am working with pandas in jupyter notebook. It's easy to adjust the display of DataFrame, like using pandas.set_options or import IPython.display or any suggestion from here
However it seems those methods don't apply to a Series or maybe I didn't find the right key. Particularly for my case where the Series comes from DataFrame.loc, and it has a long sentence as the value. I did pd.set_options('max_colwidth', -1) to get the whole text displayed. However it prints like below:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
How to make it printed like:
0 this sentence is long s.t. it
is displayed like this.
1 this sentence is long s.t. it
is displayed like this.
Here is sample of my Series (though actually I'm getting Series by selecting a row in Dataframe):
import pandas as pd
pd.set_options('max_colwidth', -1)
s = pd.Series(['Which of the following cloud computing products have you used at work or school in the last 5 years (Select all that apply)? - Selected Choice', 'What metrics do you or your organization use to determine whether or not your models were successful? (Select all that apply) - Selected Choice'])
python pandas jupyter-notebook
python pandas jupyter-notebook
asked Nov 8 at 11:29
bakka
698317
asked Nov 8 at 11:29
bakka
698317
edited Nov 8 at 12:19
asked Nov 8 at 11:29
bakka
698317
asked Nov 8 at 11:29
bakka
698317
asked Nov 8 at 11:29
bakka
698317
698317
3
What is the actual series? What did you do to get that output? What is the desired output?
– Goyo
Nov 8 at 11:38
2
Please define an example series explicitly, e.g.s = pd.Series(['.....', '.....']). If we can't reproduce your problem, it's unlikely we can resolve it.
– jpp
Nov 8 at 11:46
Sorry, I forgot to do that. Hope its clearer now
– bakka
Nov 8 at 11:52
@bakka, I can't replicate, I suggest you provide some version numbers (Python, Pandas, Ipython).
– jpp
Nov 8 at 11:57
1
@jpp Ah ok. I didpd.set_options('max_colwidth', -1)to get whole text displayed.
– bakka
Nov 8 at 12:17
|
show 2 more comments
3
What is the actual series? What did you do to get that output? What is the desired output?
– Goyo
Nov 8 at 11:38
2
Please define an example series explicitly, e.g.s = pd.Series(['.....', '.....']). If we can't reproduce your problem, it's unlikely we can resolve it.
– jpp
Nov 8 at 11:46
Sorry, I forgot to do that. Hope its clearer now
– bakka
Nov 8 at 11:52
@bakka, I can't replicate, I suggest you provide some version numbers (Python, Pandas, Ipython).
– jpp
Nov 8 at 11:57
1
@jpp Ah ok. I didpd.set_options('max_colwidth', -1)to get whole text displayed.
– bakka
Nov 8 at 12:17
3
3
What is the actual series? What did you do to get that output? What is the desired output?
– Goyo
Nov 8 at 11:38
What is the actual series? What did you do to get that output? What is the desired output?
– Goyo
Nov 8 at 11:38
2
2
Please define an example series explicitly, e.g.
s = pd.Series(['.....', '.....']). If we can't reproduce your problem, it's unlikely we can resolve it.– jpp
Nov 8 at 11:46
Please define an example series explicitly, e.g.
s = pd.Series(['.....', '.....']). If we can't reproduce your problem, it's unlikely we can resolve it.– jpp
Nov 8 at 11:46
Sorry, I forgot to do that. Hope its clearer now
– bakka
Nov 8 at 11:52
Sorry, I forgot to do that. Hope its clearer now
– bakka
Nov 8 at 11:52
@bakka, I can't replicate, I suggest you provide some version numbers (Python, Pandas, Ipython).
– jpp
Nov 8 at 11:57
@bakka, I can't replicate, I suggest you provide some version numbers (Python, Pandas, Ipython).
– jpp
Nov 8 at 11:57
1
1
@jpp Ah ok. I did
pd.set_options('max_colwidth', -1) to get whole text displayed.– bakka
Nov 8 at 12:17
@jpp Ah ok. I did
pd.set_options('max_colwidth', -1) to get whole text displayed.– bakka
Nov 8 at 12:17
|
show 2 more comments
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3
What is the actual series? What did you do to get that output? What is the desired output?
– Goyo
Nov 8 at 11:38
2
Please define an example series explicitly, e.g.
s = pd.Series(['.....', '.....']). If we can't reproduce your problem, it's unlikely we can resolve it.– jpp
Nov 8 at 11:46
Sorry, I forgot to do that. Hope its clearer now
– bakka
Nov 8 at 11:52
@bakka, I can't replicate, I suggest you provide some version numbers (Python, Pandas, Ipython).
– jpp
Nov 8 at 11:57
1
@jpp Ah ok. I did
pd.set_options('max_colwidth', -1)to get whole text displayed.– bakka
Nov 8 at 12:17