Read CSV data into Pandas DataSet From Variable?

[Oliver]

After version pandas 0.19.2 --> it can read directly from url.
You can mess with io.StringIO before,but you should really upgrade.
If use Anaconda:

conda update conda
conda update anaconda

>>> import pandas as pd
>>> pd.__version__
'0.20.3'

G:\Anaconda3
λ python -m ptpython
>>> import pandas as pd
...
... url = "http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
... the_names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']
... dataset = pd.read_csv(url, names=the_names)

>>> dataset
     sepal-length  sepal-width  petal-length  petal-width           class
0             5.1          3.5           1.4          0.2     Iris-setosa
1             4.9          3.0           1.4          0.2     Iris-setosa
2             4.7          3.2           1.3          0.2     Iris-setosa
3             4.6          3.1           1.5          0.2     Iris-setosa
4             5.0          3.6           1.4          0.2     Iris-setosa
5             5.4          3.9           1.7          0.4     Iris-setosa
6             4.6          3.4           1.4          0.3     Iris-setosa

Yes, as I said in my initial posting reading from a URL works fine.

That was not the problem I posted I am trying to solve. :)

My issue is that our application POSTs the data from another application to a Flask web service. I need a way to figure out how to get the POSTed data (in a variable) into the Pandas data set. From my original posting, I cannot find a compatible "read" method that can read a variable into a Pandas dataset.

So, how do you get CSV data, in a variable, (not in a URL, for example) into a Pandas dataset?

In the screenshot below, I tried to use the io.StringIO method, but that still throws 500 errors.

I also tried to just read in the data like pd.DataFrame(.....), but couldn't get the syntax correct.

Thanks,