dataseries | R tools for dataseries.org | Data Visualization library

I guess what you are missing is that ind must be a function, because it is a time-dependent coefficient.

I'm assuming df_region is a DataFrame from pandas.

So, modify the ind definition in your code to:

I can't believe this answer was so simple just replace

this:-

lineColor

to:-

color

If you want the same color to the line, Legend Marker and in ToolTip use color instead of lineColor.

Because lineColor is only gonna change the color of the line in the chart.

Assuming your sheet is set up like so, the below examples will output per your example worksheet. I don't know any way to acheive this in 1 loop but you could follow the below examples and incorporate 2 or more loops into your routine, reusing the 2nd example method.

NOTE: These examples are written on a new worksheet in a new workbook. The workbook/worksheets have not been qualified and 'Sheet1' is assumed by default.

You only need to include io.ktor:ktor-client-core in commonMain and actual HTTP engine implementation in desired target. If you want to use CIO engine in android, just include io.ktor:ktor-client-cio in androidMain. Ktor will automatically select available HTTP client available for the platform. You can update the KtorTest class like so (note the absence of engine specification):

To add the contents of this dictionary to rows, you should first access the row with the dictionary (s.data), then use s.data.items() to get the key and value pair that will be used to create the new Series. The previous step results in a dict_item which can then be converted into a list, after that, assign the first (and only) tuple of that list to name and values. These variables will then be used with pd.Series to create the named Series.

This answer is to show that it can be done. I altered the answer from here.

The key is to get each Node in the series and set it's color using setStyle.

Key Code:

JWT is just 3 base64 strings, concatenated with . characters. So, unless you somehow force it into a wider character set, 1 character = 1 byte.

Total size will be a function of the signing algorithm in use, and the actual payload size. base64 has 3:4 overhead. So, your JWT will always be raw payload size * 1.25, plus signature and header. I usually just think of it as 1.5x overhead, and if you come in smaller that's a bonus.

All that said 7kb is pretty huge for something meant to be passed in an HTTP header. I don't know what the hard limit is, but practically speaking I like to stay under 1kb, and ideally under a few hundred characters.

WPS allows you to save a sas7bdat file. I recommend using WPS to create a new file instead of trying to get the WPS file read.

Then pandas, a python extension, can read sas sas7bdat files as a dataframe

https://pandas.pydata.org/docs/reference/api/pandas.read_sas.html

Actually only data requires binding, because type is part of initialization and title is hardly possible to be changed, so here is possible variant