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()
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()
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()