So, I'm using a function from this website to (try) to make stick plots of some netCDF4
data. There is an excerpt of my code below. I got my data from here.
The stick_plot(time,u,v)
function is EXACTLY as it appears in the website I linked which is why I did not show a copy of that function below.
When I run my code I get the following error. Any idea on how to get around this?
AttributeError: 'numpy.float64' object has no attribute 'toordinal'
The description of time from the netCDF4
file:
<type 'netCDF4._netCDF4.Variable'>
float64 time(time)
long_name: time
standard_name: time
units: days since 1900-01-01 00:00:00Z
axis: T
ancillary_variables: time_quality_flag
data_min: 2447443.375
data_max: 2448005.16667
unlimited dimensions:
current shape = (13484,)
filling off
Here is an excerpt of my code:
imports:
import matplotlib.pyplot as plot
import numpy as np
from netCDF4 import Dataset
import os
from matplotlib.dates import date2num
from datetime import datetime
trying to generate the plots:
path = '/Users/Kyle/Documents/Summer_Research/east_coast_currents/'
currents = [x for x in os.listdir('%s' %(path)) if '.DS' not in x]
for datum in currents:
working_data = Dataset('%s' %(path+datum), 'r', format = 'NETCDF4')
u = working_data.variables['u'][:][:100]
v = working_data.variables['v'][:][:100]
time = working_data.variables['time'][:][:100]
q = stick_plot(time,u,v)
ref = 1
qk = plot.quiverkey(q, 0.1, 0.85, ref,
"%s N m$^{-2}$" % ref,
labelpos='N', coordinates='axes')
_ = plot.xticks(rotation=70)