nmacsai

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These are questions asked by nmacsai

How do I mute the action of an accent applied to a symbol so that the accented symbol is itself an inert object? See the attached example.

How_do_I_make_an_accented_symbol_inert.mw
 

Is there a way to re-index an existing dataframe? See attachment for example.

how_do_i_re-index_a_dataframe.mw

Hello. I am trying to use the Remove() command to remove a column of a dataframe. I applied the command like its shown in the help section and I get an error. I don't see how I am applying this command incorrectly. Where am I going wrong? Below is a screenshot of the error output and the .mw file used to generate the output.

Remove_a_column_from_a_dataframe.mw

When you look at negative horiztonal values on a basic plot, the axis labels can be obscured by gridlines or the plot itself. I have been told many times to keep axis labels and gradation labels outside of the plotting area to avoid adding more information than is neccessary in the actual plotting area. Is there a way to move the label to the other side and rotate it by 180 degree? How do people normally deal with this issue?

See my example of how the axis labels can be obscured by gridlines.

axis_label_on_wrong_side_of_axis.mw

counts_and_bins_data_output_from_histogram().mw

The Historgram( ) function is the combination of a binning computation and a visualization of the result of the binning computation. In order to generate any histogram you need to know the set of bin boundaries and the number of counts in each bin.

 

These bin boundaries look like: bin_bounds := [[`x__1,min`, `x__1,max`], [`x__2,min`, `x__2,max`], () .. (), [`x__N,min`, `x__N,max`]]where there are N bins in total.

The counts data looks like: counts := [H__1, H__2, () .. (), H__N]where there are N bins in total.

 

The Histogram( ) command passed this data around internally. Can I have Histogram( ) output this data? In other words, can I get the x-y data from the histogram, the bins-counts data?


Download counts_and_bins_data_output_from_histogram().mw

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