PYTHON

confidence intervals in python

import numpy as np
import scipy.stats as st

#define sample data
data = [12, 12, 13, 13, 15, 16, 17, 22, 23, 25, 26, 27, 28, 28, 29]

#create 95% confidence interval for population mean weight
st.t.interval(alpha=0.95, df=len(data)-1, loc=np.mean(data), scale=st.sem(data)) 

(16.758, 24.042)

plot confidence interval matplotlib

from matplotlib import pyplot as plt
import numpy as np

#some example data
x = np.linspace(0.1, 9.9, 20)
y = 3.0 * x
#some confidence interval
ci = 1.96 * np.std(y)/np.sqrt(len(x))

fig, ax = plt.subplots()
ax.plot(x,y)
ax.fill_between(x, (y-ci), (y+ci), color='b', alpha=.1)

python plot confidence interval

sns.lineplot(data=fmri, x="timepoint", y="signal", hue="event")