Reputation: 11
When I run my code I get the error
IndexError: index 0 is out of bounds for axis 0 with size 0 on line 42 for v[0]=v0.
I'm not familiar with python and don't know how to debug this.
""" Density at height y """
def rho(rh, y):
rho = rh*math.exp(-y/7249)
return rho
""" Acceleration of skydiver """
def accl(m, g, rho, v, As, Cs, Ap, Cp):
if y[i+1] >= 1200:
accl = (1/(2*m) * rho(rh, y) * v**2 * As * Cs - g )
else:
accl = (1/(2*m) * rho(rh, y) * v**2 * (As * Cs + Ap * Cp) - g)
return accl
h0 = 4000 # initial hieght
dt = 0.1 #timestep
n = int(180/dt)
#lists for displacement, time, and velocities
v= np.array([])
v[0] = v0
t= np.array([])
t[0] = t0
y= np.array([])
y[0] = h0
#calculation of time, velocity and displacement
for i in range(n):
t[i+1] = t[i] + dt
v[i+1] = v[i] + accl(m, g, rho, v[i], As, Cs, Ap, Cp) * dt
y[i+1] = y[i] + v[i+1] * dt
if y[i+1] < 0:
#ends plot once skydiver has landed
break
# Plot
plt.plot(t, y, label = 'Position m')
plt.plot(t, v, label = 'Speed m/s')
plt.plot(t, accl, label = 'Acceleration m/s^2', color = 'green')
plt.xlim([t[0], t[-1]])
plt.xlabel("Time (seconds)")
plt.legend()
Upvotes: 0
Views: 10732
Reputation: 2105
Replace v = np.array([])
with v = np.zeros(n+1)
. Your cannot access elements of the numpy array that are outside of its bounds. Your declaration creates an empty numpy array.
Upvotes: 1
Reputation: 15070
v= np.array([])
v[0] = v0
This makes no sense: you are trying to set a value to the first element of an empty array (which has no element!).
Try this instead: v = np.array([v0])
if you want to grow your array, do this:
v = []
# whatever logic to grow v like:
for i in range(10):
v.append(2*i-1)
# now turn it into an np.array:
v = np.array(v)
Upvotes: 1
Reputation: 21264
Numpy arrays created from empty lists can't be indexed - they don't have any elements to index into.
np.array([]).shape
# (0,)
If you know the dimensions of v
in advance, you can use np.empty()
:
n = 10
np.empty(n, dtype=float)
# array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
Alternately, just initialize v
with v0
:
v = np.array([v0])
Upvotes: 1