Pandas Summing Two Columns with Nan
I have three columns in pandas dataframes with Nan:
>>> d=pd.DataFrame({'col1': [1, 2], 'col2': [3, 4], 'col3':[5,6]})
>>> d
col1 col2 col3
0 1 3 5
1 2 4 6
>>> d['col2'].iloc[0]=np.nan
>>> d
col1 col2 col3
0 1 NaN 5
1 2 4.0 6
>>> d['col1'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5
1 NaN 4.0 6
>>> d['col3'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
Now, I would like the column addition to have the following output:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 1.0
1 4.0
However, in reality, the output is instead:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 NaN
1 NaN
Anyone knows how to achieve this?
python pandas
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
add a comment |
I have three columns in pandas dataframes with Nan:
>>> d=pd.DataFrame({'col1': [1, 2], 'col2': [3, 4], 'col3':[5,6]})
>>> d
col1 col2 col3
0 1 3 5
1 2 4 6
>>> d['col2'].iloc[0]=np.nan
>>> d
col1 col2 col3
0 1 NaN 5
1 2 4.0 6
>>> d['col1'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5
1 NaN 4.0 6
>>> d['col3'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
Now, I would like the column addition to have the following output:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 1.0
1 4.0
However, in reality, the output is instead:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 NaN
1 NaN
Anyone knows how to achieve this?
python pandas
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
add a comment |
I have three columns in pandas dataframes with Nan:
>>> d=pd.DataFrame({'col1': [1, 2], 'col2': [3, 4], 'col3':[5,6]})
>>> d
col1 col2 col3
0 1 3 5
1 2 4 6
>>> d['col2'].iloc[0]=np.nan
>>> d
col1 col2 col3
0 1 NaN 5
1 2 4.0 6
>>> d['col1'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5
1 NaN 4.0 6
>>> d['col3'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
Now, I would like the column addition to have the following output:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 1.0
1 4.0
However, in reality, the output is instead:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 NaN
1 NaN
Anyone knows how to achieve this?
python pandas
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
I have three columns in pandas dataframes with Nan:
>>> d=pd.DataFrame({'col1': [1, 2], 'col2': [3, 4], 'col3':[5,6]})
>>> d
col1 col2 col3
0 1 3 5
1 2 4 6
>>> d['col2'].iloc[0]=np.nan
>>> d
col1 col2 col3
0 1 NaN 5
1 2 4.0 6
>>> d['col1'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5
1 NaN 4.0 6
>>> d['col3'].iloc[1]=np.nan
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
Now, I would like the column addition to have the following output:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 1.0
1 4.0
However, in reality, the output is instead:
>>> d['col1']+d['col3']
0 6.0
1 NaN
>>> d['col1']+d['col2']
0 NaN
1 NaN
Anyone knows how to achieve this?
python pandas
python pandas
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
asked Nov 24 '18 at 22:58
Jinhua WangJinhua Wang
528416
528416
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
You can use add to get your sums, with fill_value=0:
>>> d.col1.add(d.col2, fill_value=0)
0 1.0
1 4.0
dtype: float64
>>> d.col1.add(d.col3, fill_value=0)
0 6.0
1 NaN
dtype: float64
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
add a comment |
When adding columns one and two, use Series.add with fill_value=0.
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
>>>
>>> d['col1'].add(d['col2'], fill_value=0)
0 1.0
1 4.0
dtype: float64
Dataframes and series have methods like add, sub, ... in order to perform more sophisticated operations than the associated operators +, -, ... can provide.
The methods may take additional arguments that finetune the operation.
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53463101%2fpandas-summing-two-columns-with-nan%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can use add to get your sums, with fill_value=0:
>>> d.col1.add(d.col2, fill_value=0)
0 1.0
1 4.0
dtype: float64
>>> d.col1.add(d.col3, fill_value=0)
0 6.0
1 NaN
dtype: float64
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
add a comment |
You can use add to get your sums, with fill_value=0:
>>> d.col1.add(d.col2, fill_value=0)
0 1.0
1 4.0
dtype: float64
>>> d.col1.add(d.col3, fill_value=0)
0 6.0
1 NaN
dtype: float64
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
add a comment |
You can use add to get your sums, with fill_value=0:
>>> d.col1.add(d.col2, fill_value=0)
0 1.0
1 4.0
dtype: float64
>>> d.col1.add(d.col3, fill_value=0)
0 6.0
1 NaN
dtype: float64
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
You can use add to get your sums, with fill_value=0:
>>> d.col1.add(d.col2, fill_value=0)
0 1.0
1 4.0
dtype: float64
>>> d.col1.add(d.col3, fill_value=0)
0 6.0
1 NaN
dtype: float64
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
answered Nov 24 '18 at 23:02
sacuLsacuL
30.5k41943
30.5k41943
add a comment |
add a comment |
When adding columns one and two, use Series.add with fill_value=0.
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
>>>
>>> d['col1'].add(d['col2'], fill_value=0)
0 1.0
1 4.0
dtype: float64
Dataframes and series have methods like add, sub, ... in order to perform more sophisticated operations than the associated operators +, -, ... can provide.
The methods may take additional arguments that finetune the operation.
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
add a comment |
When adding columns one and two, use Series.add with fill_value=0.
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
>>>
>>> d['col1'].add(d['col2'], fill_value=0)
0 1.0
1 4.0
dtype: float64
Dataframes and series have methods like add, sub, ... in order to perform more sophisticated operations than the associated operators +, -, ... can provide.
The methods may take additional arguments that finetune the operation.
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
add a comment |
When adding columns one and two, use Series.add with fill_value=0.
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
>>>
>>> d['col1'].add(d['col2'], fill_value=0)
0 1.0
1 4.0
dtype: float64
Dataframes and series have methods like add, sub, ... in order to perform more sophisticated operations than the associated operators +, -, ... can provide.
The methods may take additional arguments that finetune the operation.
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
When adding columns one and two, use Series.add with fill_value=0.
>>> d
col1 col2 col3
0 1.0 NaN 5.0
1 NaN 4.0 NaN
>>>
>>> d['col1'].add(d['col2'], fill_value=0)
0 1.0
1 4.0
dtype: float64
Dataframes and series have methods like add, sub, ... in order to perform more sophisticated operations than the associated operators +, -, ... can provide.
The methods may take additional arguments that finetune the operation.
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
edited Nov 24 '18 at 23:14
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
answered Nov 24 '18 at 23:02
timgebtimgeb
51.1k116693
51.1k116693
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53463101%2fpandas-summing-two-columns-with-nan%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
