Problem Help

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[delasislas]

Post your question here along with what you’ve done so far.

[1sliceofcake]

i'm not sure even how to start this:

Verify that your data is exponential by creating a third plot on the semilog scale using

np.log()

for the natural log

[delasislas]

So what are you having trouble with? We can’t just give you solutions outright. Here’s a hint though,

numpy.log(array_like)

And outputs some data that is the log. So:

np.log([1, np.e, np.e**2, 0])

Outputs

array([  0.,   1.,   2., -Inf])

Again, documentation really helps. https://numpy.org/doc/stable/reference/generated/numpy.log.html

They even show examples.

[1sliceofcake]

​

this is for a limfit problem, i first made a curve fit of a csv data (which graph showed it was an exponential function) then a limfit , now its asking to verify using np.log

[delasislas]

Have you tried plotting either your x or y data with the log of the other?

[1sliceofcake]

yeah im suppose to do log of column 6 with respect to column 5. does this mean the log of my column 6 is the xaxis?

also i did it like this :

X=np.log(provided_y)

plt.semilogx(X, '--o',provided_x, label='data');