The Python Oracle

Add density curve on the histogram

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Chapters
00:00 Add Density Curve On The Histogram
00:23 Answer 1 Score 4
00:42 Accepted Answer Score 5
01:31 Thank you

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Full question
https://stackoverflow.com/questions/6446...

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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...

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Tags
#python #pandas #numpy #matplotlib #seaborn

#avk47


ACCEPTED ANSWER

Score 5


distplot has been removed: removed in a future version of seaborn. Therefore, alternatives are to use histplot and displot.

sns.histplot

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

df = pd.DataFrame(np.random.randn(100, 4), columns=list('ABCD'))
X = df['A']

sns.histplot(X, kde=True, bins=20)
plt.show()

enter image description here

sns.displot

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

df = pd.DataFrame(np.random.randn(100, 4), columns=list('ABCD'))
X = df['A']

sns.displot(X, kde=True, bins=20)
plt.show()

enter image description here

distplot has been removed

Here is an approach using distplot method of seaborn. Also, mentioned in the comments:

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

df = pd.DataFrame(np.random.randn(100, 4), columns=list('ABCD'))
X = df['A']

sns.distplot(X, kde=True, bins=20, hist=True)
plt.show()

enter image description here



ANSWER 2

Score 4


Pandas also has kde plot:

hist, bins = np.histogram(X, bins=10,density=True)
width = 0.7 * (bins[1] - bins[0])
center = (bins[:-1] + bins[1:]) / 2
plt.bar(center, hist, align='center', width=width, zorder=1)

# density plot
df['A'].plot.kde(zorder=2, color='C1')
plt.show()

Output:

enter image description here