cpi | form Preintegration for Graph-based Visual | Robotics library

I've reviewed this post: Pandas: Save multiple sheets into separate dataframes, however it doesn't seem to address my problem.

So this creates a dictionary with sheet names as keys, and dataframes as values:

I am trying to create a simple program that lets users donates. This program is bootstrapped by Anchor. Unfortunately, It failed on very first step creating a PDA account by CPI. Please see the detailed info below:

Anchor test fails with:

I have the following df, from which every cell in it (except index ones) are string types :

I have 2 datasets that have the same column names.

One dataframe is predicted that has 12 forecasted values for each variable. The other dataframe is real that has the 12 real values for each variable.

I am trying to make this for loop to print the Mean Squared Forecasted Error.

I have a function called holt_filter that does something and returns a data frame. (function down below)

Its arguments are the original dataset, the initial date, the final date, and the forecast horizon.

so I would like to do something like this:

I think I must be missing something in the documentation. In a typical DBMS system you would be able to write a UDF which consumes data from another table. Its not at all clear how one would do that from an Ignite UDF. Has anyone done something similar, or is it even possible to do something like this (obviously contrived)?

I am exporting data on inflation from Excel to R that extends from 1960 to 2020 in 29 countries. The issue is that R does not read the row of the years that follows 2007.

Another issue is that the years columns are read as character by R from 1960 until 1997. Then it changes to double as you can see in the picture below.

I tried to change the format of the row of the years to number in excel, but it did not solve the problem.

I split the data and copied the years that follows 2007 to another sheet. Then i was able to export it (years of 2008 to 2020) separately and R was able to read the first row of the years with no problem whatsoever. I am not sure what that means. But my aim is to export all the data at once from the same sheet. Could someone help me with that please?

Here is the code:

For the toy dataset below, I'm trying to groupby target_name and sort values by multiple columns: valid_mse, valid_r2_score using: df.groupby('target_name').sort_values(by=['valid_mse', 'valid_r2_score'], ascending=[True, False])

I am using WDI library to run commands regression analysis for 5 countries.

I try to create dummy variables with the help of command named as "dummy_cols". I then try to use the those dummy variable table for running f-test by using command "linearHypothesis" to check the fix effect of country Vietnam and Pakistan (as example). However, when I run the command of "linearHypothesis", it shows an error