How do i read csv file column wise using python











up vote
-1
down vote

favorite












Read from Excelsheet and create dict in only if status of customer is active



"name":"name",
"address":"address",
"email":"email"


for in active customers create dict as



"name":"name",
"status":"inactive"


finally create json
as



"customer_id":"Your_name",
"active_members":,
"inactive_members":,
"Final_status":"Second code is Comp"


(use excel file for the data)










share|improve this question
























  • What have you tried so far?
    – Yakov Dan
    Nov 20 at 11:58






  • 1




    pandas has great support for reading excel-files. use pd.read_excel(). Read the data and print it and you'll know what to do. Use ipython and explore the data interactively. Then, when you're stuck, come back here and post your code and explain which part you have problems with and people gladly help you! Good luck.
    – Fredrik Pihl
    Nov 20 at 12:39

















up vote
-1
down vote

favorite












Read from Excelsheet and create dict in only if status of customer is active



"name":"name",
"address":"address",
"email":"email"


for in active customers create dict as



"name":"name",
"status":"inactive"


finally create json
as



"customer_id":"Your_name",
"active_members":,
"inactive_members":,
"Final_status":"Second code is Comp"


(use excel file for the data)










share|improve this question
























  • What have you tried so far?
    – Yakov Dan
    Nov 20 at 11:58






  • 1




    pandas has great support for reading excel-files. use pd.read_excel(). Read the data and print it and you'll know what to do. Use ipython and explore the data interactively. Then, when you're stuck, come back here and post your code and explain which part you have problems with and people gladly help you! Good luck.
    – Fredrik Pihl
    Nov 20 at 12:39















up vote
-1
down vote

favorite









up vote
-1
down vote

favorite











Read from Excelsheet and create dict in only if status of customer is active



"name":"name",
"address":"address",
"email":"email"


for in active customers create dict as



"name":"name",
"status":"inactive"


finally create json
as



"customer_id":"Your_name",
"active_members":,
"inactive_members":,
"Final_status":"Second code is Comp"


(use excel file for the data)










share|improve this question















Read from Excelsheet and create dict in only if status of customer is active



"name":"name",
"address":"address",
"email":"email"


for in active customers create dict as



"name":"name",
"status":"inactive"


finally create json
as



"customer_id":"Your_name",
"active_members":,
"inactive_members":,
"Final_status":"Second code is Comp"


(use excel file for the data)







python csv






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 20 at 12:34









Rahul Agarwal

2,07131026




2,07131026










asked Nov 20 at 11:43









hi govind

21




21












  • What have you tried so far?
    – Yakov Dan
    Nov 20 at 11:58






  • 1




    pandas has great support for reading excel-files. use pd.read_excel(). Read the data and print it and you'll know what to do. Use ipython and explore the data interactively. Then, when you're stuck, come back here and post your code and explain which part you have problems with and people gladly help you! Good luck.
    – Fredrik Pihl
    Nov 20 at 12:39




















  • What have you tried so far?
    – Yakov Dan
    Nov 20 at 11:58






  • 1




    pandas has great support for reading excel-files. use pd.read_excel(). Read the data and print it and you'll know what to do. Use ipython and explore the data interactively. Then, when you're stuck, come back here and post your code and explain which part you have problems with and people gladly help you! Good luck.
    – Fredrik Pihl
    Nov 20 at 12:39


















What have you tried so far?
– Yakov Dan
Nov 20 at 11:58




What have you tried so far?
– Yakov Dan
Nov 20 at 11:58




1




1




pandas has great support for reading excel-files. use pd.read_excel(). Read the data and print it and you'll know what to do. Use ipython and explore the data interactively. Then, when you're stuck, come back here and post your code and explain which part you have problems with and people gladly help you! Good luck.
– Fredrik Pihl
Nov 20 at 12:39






pandas has great support for reading excel-files. use pd.read_excel(). Read the data and print it and you'll know what to do. Use ipython and explore the data interactively. Then, when you're stuck, come back here and post your code and explain which part you have problems with and people gladly help you! Good luck.
– Fredrik Pihl
Nov 20 at 12:39



















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',
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
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53392279%2fhow-do-i-read-csv-file-column-wise-using-python%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown






























active

oldest

votes













active

oldest

votes









active

oldest

votes






active

oldest

votes
















draft saved

draft discarded




















































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.





Some of your past answers have not been well-received, and you're in danger of being blocked from answering.


Please pay close attention to the following guidance:


  • 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.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53392279%2fhow-do-i-read-csv-file-column-wise-using-python%23new-answer', 'question_page');
}
);

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







Popular posts from this blog

Wiesbaden

Marschland

Dieringhausen