Closed AnaFVicente closed 5 years ago
Hi,
Sorry for the delay! It is possible to plot median and quartiles for each group. Simply use the group_summaries
keyword when plotting. (You can see the documentation for more info.)
np.random.seed(55555) # Fix the seed so the results are replicable.
Ns = 20 # The number of samples taken from each population
# Create samples
c1 = norm.rvs(loc=3, scale=0.2, size=Ns)
t1 = norm.rvs(loc=3.5, scale=0.4, size=Ns)
c2 = norm.rvs(loc=3.2, scale=0.5, size=Ns)
t2 = norm.rvs(loc=3.5, scale=0.75, size=Ns)
df = pd.DataFrame({'Control 1' : c1,
'Test 1' : t1,
'Control 2' : c2,
'Test 2' : t2,
})
# Run dabest analysis
df_analysis = dabest.load(df,
idx=(('Control 1', 'Test 1'),
('Control 2', 'Test 2')),
)
fig_means = df_analysis.mean_diff.plot(group_summaries='mean_sd');
fig_means.suptitle("Means and SDs")
fig_medians = df_analysis.mean_diff.plot(group_summaries='median_quartiles');
fig_medians.suptitle("Medians and quartiles")
Hello, Regarding Multi two-group estimation plot, is it possible to plot the median ± standard deviation of the measurements for each group, instead of the mean? Thanks in advance