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How do I plot a bar plot from a data frame and a 95% confidence interval in the same graph using matplotlib on python(using the yerr arguement if possible). The plot should look like: Plot

The dataframe looks like this with 3649 entries: dataframe(df)

Sourav
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  • See the first answer to this question http://stackoverflow.com/questions/30385975/seaborn-factor-plot-custom-error-bars it should do the trick. – marillion Mar 23 '17 at 20:58

1 Answers1

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Try this:

import pandas as pd
import matplotlib.pyplot as plt
from scipy import stats

mean = df.mean(axis = 1)
std = df.std(axis = 1)

n= df.shape[1]
yerr = std / np.sqrt(n) * stats.t.ppf(1-0.05/2, n - 1)

plt.figure()
plt.bar(range(df.shape[0]), mean, yerr = yerr) 
plt.show()

Good luck!

Dani Opitz
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