Power BI中Python Visualization中时间序列的最佳数据格式是什么？

Question

As of today, August 9 2018, Power BI supports Python Visualizations. They've had support for R Visualizations before, but I still find these integrations to be a bit awkward. Let me show you what I mean:

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Let's say that you have a table with time series data, where the top row containts the names 'Date' and 'Value', and the contents are dates of the form yyyy-mm-dd and a number, respectively:

Date,Value
2017-01-12,1
2017-01-13,4
2017-01-14,2
2017-01-15,4
2017-01-16,2
2017-01-17,2
2017-01-18,2
2017-01-19,5
2017-01-20,5
2017-01-21,5
2017-01-22,5
2017-01-23,6
2017-01-24,3
2017-01-25,6
2017-01-26,6
2017-01-27,5
2017-01-28,8
2017-01-29,4
2017-01-30,2

If you store that dataset as a textfile like timerseries.csv and import it using Get Data | Text/CSV , you get a table uner VISUALIZATIONS | FIELDS , like this:

You can inspect your table using VISUALIZATIONS | Table and get:

With this setup, one should think that you were all set for unleashing the power of a Py VISUALIZATION using this beautiful new feature:

If you click that, you get this:

And you're told to

Drag fields into the Values area in the Visualization pane to start scripting

If you start with Value , you get this default setup in the editor:

And if you follow the instructions given by the Power BI team in the August 2018 feature summary you should be able to make a matplotlib plot quite easily.

But this is where it ends for me at the time being.

If the default dataframe in the editor shares the features of a standard dataframe, you should be able to reference a column in that dataframe and easily make a plot with this snippet:

import matplotlib.pyplot as plt
plt.plot(dataset['Value'])
plt.show()

But when you run it, it onlu returns an error:

And the details are elaborate to say the least.

I've also tried to import both Dates and Values , and I've tried plotting the dataframe directly with dataset.plot() , but nothing seems to be working. I've also tried stripping the date hierarchy down to simple dates this way:

So, any ideas on the dataformat, import method and/or the snippet?

Thank you for any suggestions!

EDIT 1 - Following the answer from Foxan Ng:

Add both columns in the Value field:

This still returns an error edning with:

TypeError: from_bounds() takes 4 positional arguments but 6 were given

Answer 1

I didn't encounter errors that you've mentioned. Have you dropped in both columns into Values ?

import matplotlib.pyplot as plt
plt.plot(dataset['Date'], dataset['Value'])
plt.show()

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UPDATED with M query:

let
    Source = Csv.Document(File.Contents("C:\your-directory..\timerseries.csv"),[Delimiter=",", Columns=2, Encoding=1252, QuoteStyle=QuoteStyle.None]),
    #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Date", type date}, {"Value", Int64.Type}})
in
    #"Changed Type"