Merging pandas dataframes with unnamed columns
Sorry if this is a duplicate, couldn't find an answer specific to what I'm asking.
I have df:
Unnamed: 0 2018-11-15 2018-11-16
0 China 1.00 72.25
1 Mexico 5.00 60.07
2 USA 6.00 31.30
And I have df2:
Unnamed: 0 2018-11-17
0 China 6.00
1 Mexico 25.00
2 USA 2.00
3 Canada 0.00
I've tried merging them, but with no proper results. I'm trying to get an output that would resemble this:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17
0 China 1.00 72.25 6.00
1 Mexico 5.00 60.07 25.00
2 USA 6.00 31.30 2.00
3 Canada NaN NaN 0.00
And then the next day df2 could be:
Unnamed: 0 2018-11-18
0 China 14.00
1 Mexico 3.00
2 USA 0.00
3 Canada 5.00
And once merged with the previous output, nets me something like:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17 2018-11-18
0 China 1.00 72.25 6.00 14.00
1 Mexico 5.00 60.07 25.00 3.00
2 USA 6.00 31.30 2.00 0.00
3 Canada NaN NaN 0.00 5.00
And so on, and so on. I think I'm having trouble because this is being merged with an updated data frame once a day. And because the column that contains country names to merge on is unnamed. Any ideas?
python pandas
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
add a comment |
Sorry if this is a duplicate, couldn't find an answer specific to what I'm asking.
I have df:
Unnamed: 0 2018-11-15 2018-11-16
0 China 1.00 72.25
1 Mexico 5.00 60.07
2 USA 6.00 31.30
And I have df2:
Unnamed: 0 2018-11-17
0 China 6.00
1 Mexico 25.00
2 USA 2.00
3 Canada 0.00
I've tried merging them, but with no proper results. I'm trying to get an output that would resemble this:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17
0 China 1.00 72.25 6.00
1 Mexico 5.00 60.07 25.00
2 USA 6.00 31.30 2.00
3 Canada NaN NaN 0.00
And then the next day df2 could be:
Unnamed: 0 2018-11-18
0 China 14.00
1 Mexico 3.00
2 USA 0.00
3 Canada 5.00
And once merged with the previous output, nets me something like:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17 2018-11-18
0 China 1.00 72.25 6.00 14.00
1 Mexico 5.00 60.07 25.00 3.00
2 USA 6.00 31.30 2.00 0.00
3 Canada NaN NaN 0.00 5.00
And so on, and so on. I think I'm having trouble because this is being merged with an updated data frame once a day. And because the column that contains country names to merge on is unnamed. Any ideas?
python pandas
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
Can you add the code you tried to merge?
– Ashok KS
Nov 21 '18 at 0:00
df = pd.merge(df1, df2), that was my last attempt, but if you try to mergedfwith different data as in my last example ofdf2, it outputs gibberish. Example,df3 = pd.merge(df2, df)
– equallyhero
Nov 21 '18 at 0:06
Please read in your data frames usingpd.read_csv(..., index_col=[0])to read in the first column as an index (instead of an unnamed column), then you'll be able to dodf3 = df1.join(df2)(a merge on the index)
– coldspeed
Nov 21 '18 at 0:42
This has done it, thank you.
– equallyhero
Nov 21 '18 at 0:56
add a comment |
Sorry if this is a duplicate, couldn't find an answer specific to what I'm asking.
I have df:
Unnamed: 0 2018-11-15 2018-11-16
0 China 1.00 72.25
1 Mexico 5.00 60.07
2 USA 6.00 31.30
And I have df2:
Unnamed: 0 2018-11-17
0 China 6.00
1 Mexico 25.00
2 USA 2.00
3 Canada 0.00
I've tried merging them, but with no proper results. I'm trying to get an output that would resemble this:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17
0 China 1.00 72.25 6.00
1 Mexico 5.00 60.07 25.00
2 USA 6.00 31.30 2.00
3 Canada NaN NaN 0.00
And then the next day df2 could be:
Unnamed: 0 2018-11-18
0 China 14.00
1 Mexico 3.00
2 USA 0.00
3 Canada 5.00
And once merged with the previous output, nets me something like:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17 2018-11-18
0 China 1.00 72.25 6.00 14.00
1 Mexico 5.00 60.07 25.00 3.00
2 USA 6.00 31.30 2.00 0.00
3 Canada NaN NaN 0.00 5.00
And so on, and so on. I think I'm having trouble because this is being merged with an updated data frame once a day. And because the column that contains country names to merge on is unnamed. Any ideas?
python pandas
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
Sorry if this is a duplicate, couldn't find an answer specific to what I'm asking.
I have df:
Unnamed: 0 2018-11-15 2018-11-16
0 China 1.00 72.25
1 Mexico 5.00 60.07
2 USA 6.00 31.30
And I have df2:
Unnamed: 0 2018-11-17
0 China 6.00
1 Mexico 25.00
2 USA 2.00
3 Canada 0.00
I've tried merging them, but with no proper results. I'm trying to get an output that would resemble this:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17
0 China 1.00 72.25 6.00
1 Mexico 5.00 60.07 25.00
2 USA 6.00 31.30 2.00
3 Canada NaN NaN 0.00
And then the next day df2 could be:
Unnamed: 0 2018-11-18
0 China 14.00
1 Mexico 3.00
2 USA 0.00
3 Canada 5.00
And once merged with the previous output, nets me something like:
Unnamed: 0 2018-11-15 2018-11-16 2018-11-17 2018-11-18
0 China 1.00 72.25 6.00 14.00
1 Mexico 5.00 60.07 25.00 3.00
2 USA 6.00 31.30 2.00 0.00
3 Canada NaN NaN 0.00 5.00
And so on, and so on. I think I'm having trouble because this is being merged with an updated data frame once a day. And because the column that contains country names to merge on is unnamed. Any ideas?
python pandas
python pandas
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
edited Nov 20 '18 at 23:58
equallyhero
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
asked Nov 20 '18 at 23:41
equallyheroequallyhero
7119
7119
Can you add the code you tried to merge?
– Ashok KS
Nov 21 '18 at 0:00
df = pd.merge(df1, df2), that was my last attempt, but if you try to mergedfwith different data as in my last example ofdf2, it outputs gibberish. Example,df3 = pd.merge(df2, df)
– equallyhero
Nov 21 '18 at 0:06
Please read in your data frames usingpd.read_csv(..., index_col=[0])to read in the first column as an index (instead of an unnamed column), then you'll be able to dodf3 = df1.join(df2)(a merge on the index)
– coldspeed
Nov 21 '18 at 0:42
This has done it, thank you.
– equallyhero
Nov 21 '18 at 0:56
add a comment |
Can you add the code you tried to merge?
– Ashok KS
Nov 21 '18 at 0:00
df = pd.merge(df1, df2), that was my last attempt, but if you try to mergedfwith different data as in my last example ofdf2, it outputs gibberish. Example,df3 = pd.merge(df2, df)
– equallyhero
Nov 21 '18 at 0:06
Please read in your data frames usingpd.read_csv(..., index_col=[0])to read in the first column as an index (instead of an unnamed column), then you'll be able to dodf3 = df1.join(df2)(a merge on the index)
– coldspeed
Nov 21 '18 at 0:42
This has done it, thank you.
– equallyhero
Nov 21 '18 at 0:56
Can you add the code you tried to merge?
– Ashok KS
Nov 21 '18 at 0:00
Can you add the code you tried to merge?
– Ashok KS
Nov 21 '18 at 0:00
df = pd.merge(df1, df2) , that was my last attempt, but if you try to merge df with different data as in my last example of df2, it outputs gibberish. Example, df3 = pd.merge(df2, df)– equallyhero
Nov 21 '18 at 0:06
df = pd.merge(df1, df2) , that was my last attempt, but if you try to merge df with different data as in my last example of df2, it outputs gibberish. Example, df3 = pd.merge(df2, df)– equallyhero
Nov 21 '18 at 0:06
Please read in your data frames using
pd.read_csv(..., index_col=[0]) to read in the first column as an index (instead of an unnamed column), then you'll be able to do df3 = df1.join(df2) (a merge on the index)– coldspeed
Nov 21 '18 at 0:42
Please read in your data frames using
pd.read_csv(..., index_col=[0]) to read in the first column as an index (instead of an unnamed column), then you'll be able to do df3 = df1.join(df2) (a merge on the index)– coldspeed
Nov 21 '18 at 0:42
This has done it, thank you.
– equallyhero
Nov 21 '18 at 0:56
This has done it, thank you.
– equallyhero
Nov 21 '18 at 0:56
add a comment |
0
active
oldest
votes
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%2f53403263%2fmerging-pandas-dataframes-with-unnamed-columns%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
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%2f53403263%2fmerging-pandas-dataframes-with-unnamed-columns%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
Can you add the code you tried to merge?
– Ashok KS
Nov 21 '18 at 0:00
df = pd.merge(df1, df2), that was my last attempt, but if you try to mergedfwith different data as in my last example ofdf2, it outputs gibberish. Example,df3 = pd.merge(df2, df)– equallyhero
Nov 21 '18 at 0:06
Please read in your data frames using
pd.read_csv(..., index_col=[0])to read in the first column as an index (instead of an unnamed column), then you'll be able to dodf3 = df1.join(df2)(a merge on the index)– coldspeed
Nov 21 '18 at 0:42
This has done it, thank you.
– equallyhero
Nov 21 '18 at 0:56