Comments (4)
def format_pval(pval, threshold=0.001):
if pval < threshold:
return f"{pval:.2e}"
else:
return f"{pval:.2f}"
Format the p-values in the data
dataframe
data['Formattedp.value'] = [format_pval(pval, threshold=0.01) for pval in data['p.value']]
Adding this to my code before invoking forest plot script worked for me. i.e (made any value less than 0.01 to scientific notation).
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@naity2 Unfortunately, that function is not included within the package. But you always have the option of processing your p-values (or any other) yourself (e.g., #78 (comment) by @ksarathbabu) before including it as a column using annote
.
If I get to doing an FAQ for the package, I might show how to do that.
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This issue is stale because it has been open for 30 days with no activity.
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This issue was closed because it has been inactive.
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