Google Datalab and Python Issue

Question

I have a python script that runs perfectly in my IDE on my local machine, but when I run it on Google Datalab, it throws this error:

ValueError: could not convert string to float: '80,354'

The code is simple, and the graph prints in my Pycharm IDE, but not on GoogleDatalab.

plt.plot(new_df['Volume']) plt.show()

The error is related to the last line in the data. I'm using the date as an index. Here's what the data looks like? Is there a slash missing somehwere? What am I doing wrong or missing?

' Micro Market Volume\\nMonth/Year \\n2014-01-01 DALLAS-FT WORTH 63,974\\n2014-02-01 DALLAS-FT WORTH 68,482\\n2014-03-01 DALLAS-FT WORTH 85,866\\n2014-04-01 DALLAS-FT WORTH 79,735\\n2014-05-01 DALLAS-FT WORTH 75,339\\n2014-06-01 DALLAS-FT WORTH 71,739\\n2014-07-01 DALLAS-FT WORTH 85,893\\n2014-08-01 DALLAS-FT WORTH 83,694\\n2014-09-01 DALLAS-FT WORTH 87,567\\n2014-10-01 DALLAS-FT WORTH 87,389\\n2014-11-01 DALLAS-FT WORTH 68,340\\n2014-12-01 DALLAS-FT WORTH 74,805\\n2015-01-01 DALLAS-FT WORTH 68,568\\n2015-02-01 DALLAS-FT WORTH 61,924\\n2015-03-01 DALLAS-FT WORTH 56,885\\n2015-04-01 DALLAS-FT WORTH 68,101\\n2015-05-01 DALLAS-FT WORTH 52,806\\n2015-06-01 DALLAS-FT WORTH 79,918\\n2015-07-01 DALLAS-FT WORTH 92,134\\n2015-08-01 DALLAS-FT WORTH 88,047\\n2015-09-01 DALLAS-FT WORTH 91,377\\n2015-10-01 DALLAS-FT WORTH 91,307\\n2015-11-01 DALLAS-FT WORTH 65,415\\n2015-12-01 DALLAS-FT WORTH 81,456\\n2016-01-01 DALLAS-FT WORTH 82,820\\n2016-02-01 DALLAS-FT WORTH 91,688\\n2016-03-01 DALLAS-FT WORTH 81,495\\n2016-04-01 DALLAS-F T WORTH 87,872\\n2016-05-01 DALLAS-FT WORTH 82,031\\n2016-06-01 DALLAS-FT WORTH 100,783\\n2016-07-01 DALLAS-FT WORTH 99,285\\n2016-08-01 DALLAS-FT WORTH 99,179\\n2016-09-01 DALLAS-FT WORTH 93,939\\n2016-10-01 DALLAS-FT WORTH 99,663\\n2016-11-01 DALLAS-FT WORTH 86,751\\n2016-12-01 DALLAS-FT WORTH 84,551\\n2017-01-01 DALLAS-FT WORTH 81,890\\n2017-02-01 DALLAS-FT WORTH 90,212\\n2017-03-01 DALLAS-FT WORTH 97,798\\n2017-04-01 DALLAS-FT WORTH 89,338\\n2017-05-01 DALLAS-FT WORTH 96,891\\n2017-06-01 DALLAS-FT WORTH 86,613\\n2017-07-01 DALLAS-FT WORTH 80,354'

Answer 1

I was loading the data inappropriately. I was using pandas load_csv on my local machine, and BytesIO on in Datalab. The comma in the numberical value was throwing off the import of the data. I had to say that the delimiter is a "," and the thousand separator is also a ","