Jamie Mitchell wrote:
> 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
That means the dtype is not np.float64. As I have neither the data nor the
netCDF4 library to replicate your problem I'm out.
What you might try is to construct a numpy array explicitly
x = np.array([float(v) for v in swh_Q0_con_sw.variables["hs"]])
but that's just a stab in the dark.
> 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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