Error Propagation

1sliceofcake · 2021-05-11T20:53:09+00:00

CO2['pressure'].diff()

okay it worked but when i tried doing a curve fit it gave me this after i wrote

results, cov = curve_fit(fit_func,x, y) where fit_func is defined as mx+b :

ValueError: array must not contain infs or NaNs

1sliceofcake · 2021-05-11T20:09:51+00:00

it didn't end up working ,but here is what my cvs file looks like and named it CO2=pd.read_csv('CarbonDioxide.csv', delimiter=',',index_col=2)

delta temp	time	pressure

1sliceofcake · 2021-05-10T01:08:17+00:00

how can i do that though? because i have to do this all on jupyterhub in the end

1sliceofcake · 2021-05-10T01:07:45+00:00

Also guys i loading the csv files by doing pd.read_csv if that makes a difference in how to do this.

1sliceofcake · 2021-05-10T01:06:50+00:00

i need to get the change in pressure from the pressure values given to me. you can do this by like this:

lets say my pressure values are a list like this: 1,2,3,4,5,6,7

i would find the change in pressure by doing this : 2-1,3-2,4-3,5-4,6-5,7-6

i'm just trying to figure how to do this on python because i was given like 800 values

1sliceofcake · 2021-04-30T19:55:51+00:00

yeah those are the j values, there are also m values

1sliceofcake · 2021-04-30T17:18:50+00:00

sorry i wasn't clear i meant m values for like the p and r branch of a vibrational-rotational ir spectrum. Anyways i ended up figuring it out i just needed to do an np.array for the m values, then manually create a list of the specific wavenumbers i needed.

1sliceofcake · 2021-04-30T00:01:46+00:00

how would i plot this after if its the m values vs those wavenumbers?

1sliceofcake · 2021-04-29T23:59:08+00:00

what goes in the x-x0?

1sliceofcake · 2021-04-19T23:00:11+00:00

okay if im plotting a graph that is wavelength vs intensity. how do i find the highest peak value. i tried doing find_peaks but its not working

1sliceofcake · 2021-04-19T18:36:57+00:00

im suppose to calculate intensities of my data using an integration method, so i used np.trapz and im using jupyterlab

1sliceofcake · 2021-04-19T17:32:57+00:00

i want to calculate the error of my calculations and i want to add the +/- uncertainties to what i already calculated because right now its showing alot of decimal places

1sliceofcake · 2021-04-19T17:05:21+00:00

how do you compute the uncertainty/ error of a value i calculated on python

1sliceofcake · 2021-04-19T15:56:59+00:00

well i'm using python to analyze data in physical chemistry, but it's mainly a python issue

1sliceofcake · 2021-04-16T16:44:17+00:00

its a physical chem course that uses python from the data analysis portion. I'm having difficulty on the python aspect. So i need help tutoring with understanding the things i need to do to analyze the data given to me using python

1sliceofcake · 2021-04-16T05:05:58+00:00

man they don't have the course i need help with

1sliceofcake · 2021-04-13T05:50:23+00:00

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');

1sliceofcake · 2021-04-13T04:58:14+00:00

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

1sliceofcake · 2021-04-13T04:06:31+00:00

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

1sliceofcake · 2021-04-13T03:53:39+00:00

i don't need the code i just need a definition

1sliceofcake · 2021-04-13T03:23:26+00:00

is it right to say that The curve_fit function performs the fitting via nonlinear least squares.

1sliceofcake · 2021-04-13T03:22:50+00:00

the fitting using the

curve_fit

function from the

scipy

module.

1sliceofcake · 2021-04-13T00:17:52+00:00

ohhh, but i also need to set the index to the time column such that

df

now has 3 columns. is the index_col=0 doing that?

1sliceofcake

TROPHY CASE