user6818911 - 1 month ago 4x

Python Question

I'm new to Python and have any programming background..

I'm trying to plot 2 data sets of y for the same x data set, linear regress it using scipy and get the R^2 value. This is how i've gotten so far:

`import matplotlib`

import matplotlib.pyplot as pl

from scipy import stats

#first order

'''sin(Δθ)'''

y1 = [-0.040422445,-0.056402365,-0.060758191]

#second order

'''sin(Δθ)'''

y2 = [-0.083967708, -0.107420964, -0.117248521]

''''λ, theo (nm)'''

x= [404.66, 546.07, 579.06]

pl.title('Angular displacements vs. Theoretical wavelength')

pl.xlabel('theoretical λ (in nm)')

pl.y1label('sin(Δθ) of 1st order images')

pl.y2label('sin(Δθ) of 2nd order images')

plot1 = pl.plot(x, y1, 'r')

plot2 = pl.plot(x, y2, 'b')

pl.legend([plot1, plot2], ('1st order images', '2nd order images'), 'best', numpoints=1)

slope1, intercept1, r_value1, p_value1, std_err1 = stats.linregress(x,y1)

slope2, intercept2, r_value2, p_value2, std_err2 = stats.linregress(x,y2)

print "r-squared:", r_value1**2

print "r-squared:", r_value2**2

pl.show()

...i dont' get any plot and i get the error:

"UnicodeDecodeError: 'ascii' codec can't decode byte 0xce in position 12: ordinal not in range(128)"

which i don't understand. can somebody help and tell me what's wrong with my code? thank youuu

Answer

There are multiple errors in this code.

You cannot simply type greek letters in plot labels and titles, here is how you can do it:

`pl.xlabel(r'theoretical $\lambda$ (in nm)')`

`y1label`

and`y2label`

are not objects of the`pl`

moduleIn Python,

`# blah blah`

is different from`'''blah blah'''`

. The first one is a comment, the second one is an expression. You can assign the second one to a variable (`a = '''blah blah'''`

) but you cannot assign the first one to a variable:`a = # blah blah`

yields a SyntaxError.

Here is a code that should work:

```
import matplotlib
import matplotlib.pyplot as pl
from scipy import stats
y1 = [-0.040422445,-0.056402365,-0.060758191]
y2 = [-0.083967708, -0.107420964, -0.117248521]
x= [404.66, 546.07, 579.06]
pl.title('Angular displacements vs. Theoretical wavelength')
pl.xlabel(r'theoretical $\lambda$ (in nm)')
pl.ylabel(r'sin($\Delta\theta$)')
y1label = '1st order images'
y2label = '2nd order images'
plot1 = pl.plot(x, y1, 'r', label=y1label)
plot2 = pl.plot(x, y2, 'b', label=y2label)
pl.legend()
slope1, intercept1, r_value1, p_value1, std_err1 = stats.linregress(x,y1)
slope2, intercept2, r_value2, p_value2, std_err2 = stats.linregress(x,y2)
print "r-squared:", r_value1**2
print "r-squared:", r_value2**2
pl.show()
```

Source (Stackoverflow)

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