Pass in a float to np.linspace

user_11501370 0
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I have the following code:

dt     = .001   # simulation time step (seconds)
T      = 1.0    # total time to simulate (seconds)
time   = np.linspace(dt,T,dt/T)

But I am getting the following error:

TypeError: 'float' object cannot be interpreted as an integer
time   = np.linspace(dt,T,dt) # vector of timepoints we will simulate

I am writing the code in a PyCharm IDE using a Conda virtual environment to provide a little more context. Thank in advance!

numpy python
2 Answers

I agree with Dwight in the comments, but I thought I could tell you anyway, just to give you another option, that numpy.arange(start, stop, step) may be also useful to you, and should do the same trick.

user_70578030

What you are trying to do actually corresponds to np.arange.

time = np.arange(dt, T, dt)

To include the T time you will need to change the stop boundary to T + dt.

user_92828440
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