How to overlap more density curves

Question

[laura_savana]

Hi, I have a question about how overlap more "kernel density estimations" in Python. I have 12 list of values and I plot for each of them kernel density estimation. I would overlap these 12 different kde in the same plot. Someone know how make this?

Thank you

[ATpoint]

Example data are always helpful. How To Ask Good Questions On Technical And Scientific Forums

[laura_savana]

Thank for your advice. I thought that wasn't necessary post also example code. So, I report the python script to plot a histogram with its kde. At bottom there is link to see the output.

Blockquote

import numpy as np

import pandas as pd

from scipy import stats

import matplotlib.pyplot as plt

import numpy as np

%matplotlib inline

"""array_1 contains 102 values each of which between 0 and 1"""

array_1 = [0.8, 0.9, 0.78, 0.97, 0.87, 0.78, 0.89, 0.83, 0.97, 0.95, 0.87, 0.95, 0.92, 0.78, 0.92, 0.92, 0.95, 0.92, 0.77, 0.74, 0.73, 0.76, 0.74, 0.93, 0.8, 0.83, 0.78, 0.79, 0.83, 0.82, 0.82, 0.77, 0.75, 0.79, 0.77, 0.74, 0.82 ...]

kde = stats.gaussian_kde(array_1)

xx = np.linspace(0, 1, 102)

plt, ax = plt.subplots(figsize = (10, 10))

ax.xaxis.set_tick_params(labelsize = 20)

ax.yaxis.set_tick_params(labelsize = 20)

ax.set_title('Score distribution', fontsize = 30)

ax.set_xlabel('Score', fontsize = 22)

ax.set_ylabel('Density', fontsize = 22)

ax.hist(array_1, bins = 20, range = (0, 1), color = '#86b300', density=True, edgecolor='black', linewidth=1.2)

ax.plot(xx, kde(xx), linewidth = 3, color = '#1a3300')

Blockquote

Consider that I would a unique plot with only kdes. I would overlap another 11 kdes to that already existing. Another 11 arrays are similar to what I have reported above (named 'array_1').

Thank you so much