## how to fill a sub area of a density curve with python - seaborn

I want to shade the area under the density curve for the standard normal distribution by the following ranges:
1) mean-2std , mean-std ---> in red
2) mean +std , mean+2std ---> in red
3) mean -std , mean+st --> in blue
This is a variant on the questions "Shade (fill or color) area under density curve by quantile".
the data used to draw the denisty curve is taken from a column of a dataframe.
eg: This is only part of the data. The column has 256 values.
Gap
1 -3.260010
2 -7.790009
3 -1.179993
4 2.270019
5 9.000000
6 -4.930023
7 -7.920014
To draw the plot I did the following code:
sns.kdeplot(TeslaStock18_19['Gap'], label = 'Gap Density', color = 'darkblue')
Considering all the data, I found out that the distribution is normal. This allows me to use the Empricial rule (68-95) to make some statitical consideraton.
What I would like to obtain is the following plot:
https://www.nku.edu/~statistics/images/Using_1.gif
N.B. I am starting to use Python, It is for a Univeristy project.
This is what I tried to do but it does not fill me completely the area
ptx = np.linspace(meanGap-std, meanGap+std) pty = scipy.stats.norm.pdf(ptx,meanGap,stdGap) plt.fill_between(ptx, pty, color='#0b559f', alpha='0.35')

## Related

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### Automatically group / cluster multi-colored objects by color

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### Model 'base-value' from RGB

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### Using pcolor to plot 3 arrays in python

I read an satellite image, and got the data, lat and lon out of the image and put in an array. The dimension of the lat is (135,90) and lon is also (135,90). The dimension of the data was originally (135,90,4,9,8), which 4 represent the band of the image. After processing( which used a for loop to put all band in a single image), the dimension of data is biw (1215,720), which is (135 x9, 90 x 8). I have a piece of code, which is: x = lat # dimension (135,90) y = lon # dimension (135,90) z = data # dimension ( 1215, 720) plt.figure() plt.pcolor(x,y,z) plt.colorbar() plt.savefig("proj1.png") But then it produced a very bad image below: My friend told me before I should take more points in the lat and lon, so to make it same dimension as data. But don't know how to do it. Is the method he said correct?

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