Business
Jobs
  • About Us
  • Solutions
    • Job Postings
      Post your job and receive qualified candidates in 48h.
    • Candidate Assessments
      500+ technical and psychological tests, plus anti-fraud.
    • Headhunting
      Tailor-made executive search from start to finish.
    • Payroll + EOR
      Payroll dispersal and EOR across 15+ LATAM countries.
  • Pricing
  • Jobs

0

101
Views
Passing a NaN from Python through Request to Javacscript

I have a pandas array with np.NaN's in it that I convert to a dictionary for JSON

json_data = {"freq" : list(df["Data"])}

I get ready to load to a web page via flask jsonify

@dashboard.route('/command', methods = ['GET', 'POST'])
def command():
[...]
return jsonify(json_data)

and on the javascript side I get ready to read it.

$.ajax({
            url: '/dashboard/command',
            type: 'POST', 
            data: data,
            contentType: 'application/json; charset=utf-8',
            dataType: 'json', 
            success: function(msg) {
              if (!msg.error) {
                updatePlot(msg);
              }
              else {
                alert(msg.error);
              }
            },
            error: function (XMLHttpRequest, textStatus, errorThrown) {
              alert("There has been an error retrieving your data: \n\n" + errorThrown);
            },
            complete: function() {
              $("#update-plot").prop('disabled', false);  // Re-enable button
              $("#update-plot-loading").addClass('invisible');  // Hide loading animation
            }

And that is where it dies if I load that web page. It says that it has a bad token "N" in the json. If I replace the NaN's before trying to send, e.g.

df["Data"].replace(np.NaN, -999.999)

and all is fine and the javascript can continue. I'm aware that the NaN's should be "null" on the javascript side, so what I do at the moment (ugh) is then convert the -999.999's to "null"... But gosh, shouldnt there be a way to send missing data directly?

Any suggestions? I have tried many combinations of NaN, "NaN", None, etc. But maybe I missed one. I checked the output of jsonify on the python said and it seems to be a valid response to send over.

Thanks, T.

about 4 years ago · Juan Pablo Isaza
2 answers
Answer question

0

Aha. Progress, sort of. At least on the Flask side, maybe not Ajax. Consider a Pandas with some np.Nan in it... Convert to a dict or whatever and then call render_template

s = render_template('dashboard/dashboard_horizontal.html', 
        average_data = average_data)

This is where the damage gets done.... but it is fixable with

s = s.replace("nan", "NaN")      #this is dumb but works!!

A related problem ocurse with false in json. When you read it into Python, the parser conveniently turns it into False. Except now you created problem on the Javascript side, but it is also fixable the same way.

s = s.replace("False", "false")      #this is dumb too

I dont know if there are some keywords that could be passed to render_template to do this automatically?

about 4 years ago · Juan Pablo Isaza Report

0

Ok, an I have an Ajax solution for NaN too, which is the JSON5 idea explained here : How to parse JSON string containing "NaN" in Node.js . Specifically, dont use dataType json, go with 'text' and do the parsing by hand.

          $.ajax({
            url: '/dashboard/command',
            type: 'POST',   
            data: data,
            contentType: 'application/json; charset=utf-8',
            dataType: 'text',            // it was 'json'
            //async: false,
            success: function(msg) {
              if (!msg.error) {
                var data = json5.parse(msg);  // json5 so much more friendly
                updatePlot(data);
              }
              else {
                alert(msg.error);
              }
            },
            error: function (XMLHttpRequest, textStatus, errorThrown) {
              alert("Error:\n\n" + errorThrown);
            },
            complete: function() {
              $("#update-plot").prop('disabled', false);  // Re-enable button
              $("#update-plot-loading").addClass('invisible');   
            }
          });
        }
about 4 years ago · Juan Pablo Isaza Report
Answer question
Find remote jobs

Discover the new way to find a job!

Top jobs
Top job categories
Business
Post vacancy Pricing Sales
Legal
Terms and conditions Privacy policy
© 2026 PeakU Inc. All Rights Reserved.
Andres GPT
Show me some job opportunities
There's an error!