Adding more parameters to the R table command

[mahaalbashir]

1. The exclude parameter: All the items that the user wants to exclude are deleted from the data before sending it to Python.

2. The useNA parameter: If useNA = "no", NAs and NaNs are removed from the data before sending it to Python. If useNA = "ifany", the data is sent as is. If useNA = "always" and the data doesn't have NAs, the NA level is added as a factor before sending the data to Python.

Whatever the value of the useNA parameter is, the index and columns parameters are converted to R factors. Using factors guarantees that empty categories are not dropped from the final table and allows the addition of the NA level when useNA = "always".

The factors are manually converted to a Pandas categoricals because reticulate doesn't do this automatically. It just throws away the levels and sends the raw data.

The automatic translation of data between Python and R is disabled so that I can manipulate the data before displaying it. Because reticulate removes the index names and replaces them with numbers, I am resetting the indexes before translating the Python DataFrame to R, and then setting them back after the translation.

One thing to notice is that in the case of useNA = "always", when we inject the NA level, the current Python version will actually delete this column/row because every column/row with all zeros is deleted from the DataFrame. However, a message will be sent to the user to show exactly which column and row were deleted.

A utils.R file is created to hold the helper functions.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 100.00%. Comparing base (1daa082) to head (2a8dcbf).

Additional details and impacted files

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