To give a little more context; it appears that a MultiIndex works fine. So the following works just fine:
import pandas as pd import numpy as np pd.options.display.precision = 3 labels = pd.MultiIndex.from_arrays((np.random.rand(10),np.random.rand(10))) p = pd.DataFrame(np.random.randn(10,10),index=labels,columns=labels) p So it appears to me that it's only a straight forward float index for columns that doesn't work. Am I just missing something obvious? On Wednesday, August 16, 2017 at 7:21:14 PM UTC-7, Paul Blelloch wrote: > > I'm finding that when I have a pandas DataFrame with float column headers, > they don't honor the display.precision option (or display.float_format or > set_eng_fload_format) in a jupyter notebook, while they do in an iPython > console. The following is a snippet of code that illustrates the issue: > > import pandas as pd > import numpy as np > pd.options.display.precision = 3 > labels = np.random.rand(10) > p = pd.DataFrame(np.random.randn(10,10),index=labels,columns=labels) > p > > -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/292bf2a1-c30e-4646-bd0d-d52ed8c3430d%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
