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LSYS avatar LSYS commented on June 28, 2024 1

Hi there @kamalakbari7, thanks so much for raising this. In short, I anticipated this need but completely forgot to document it.

It's already implemented via the variable_header arg (currently undocumented).

Here's an example:

import forestplot as fp

df = fp.load_data("sleep")

fp.forestplot(df,  # the dataframe with results data
              estimate="r",  # col containing estimated effect size 
              ll="ll", hl="hl",  # lower & higher limits of conf. int.
              varlabel="label",  # column containing the varlabels to be printed on far left
              capitalize="capitalize",  # Capitalize labels
              pval="p-val",  # column containing p-values to be formatted
              annote=["n", "power", "est_ci"],  # columns to report on left of plot
              annoteheaders=["N", "Power", "Est. (95% Conf. Int.)"],  # ^corresponding headers
              rightannote=["formatted_pval", "group"],  # columns to report on right of plot 
              right_annoteheaders=["P-value", "Variable group"],  # ^corresponding headers
              xlabel="Pearson correlation coefficient",  # x-label title
              table=True,  # Format as a table
              variable_header="custom header",
            )

image

from forestplot.

LSYS avatar LSYS commented on June 28, 2024

will need to document it or include it in the FAQs when I get to that.

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github-actions avatar github-actions commented on June 28, 2024

This issue is stale because it has been open for 30 days with no activity.

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github-actions avatar github-actions commented on June 28, 2024

This issue was closed because it has been inactive.

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