On Friday, June 20, 2014 12:00:15 PM UTC+1, Peter Otten wrote:
> Jamie Mitchell wrote:
>
>
>
> > I have changed my x and y data to float64 types but I am still getting the
>
> > same error message?
>
>
>
> Please double-check by adding
>
>
>
> assert x.dtype == np.float64
>
> assert y.dtype == np.float64
>
>
>
> If none of these assertions fail try to make a minimal script including some
>
> data that provokes the TypeError and post it here.
OK this is my code:
swh_Q0_con_sw=netCDF4.Dataset('/data/cr1/jmitchel/Q0/swh/controlperiod/south_west/swhcontrol_swest_annavg.nc','r')
hs_Q0_con_sw=swh_Q0_con_sw.variables['hs'][:]
x=hs_Q0_con_sw.astype(float64)
# When I print the dtype of x here it says 'float64'
mwp_Q0_con_sw=netCDF4.Dataset('/data/cr1/jmitchel/Q0/mean_wave_period/south_west/controlperiod/mwpcontrol_swest_annavg1D.nc','r')
te_Q0_con_sw=mwp_Q0_con_sw.variables['te'][:]
y=te_Q0_con_sw.astype(float64)
If I try assert x.dtype == np.float64 I get:
AssertionError
hist,xedges,yedges=np.histogram2d(x,y,bins=10)
TypeError: Cannot cast array data from dtype('O') to dtype('float64') according
to the rule 'safe'
Thanks,
Jamie
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