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`distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).

Adventurous Anaconda answered on October 6, 2021 Popularity 1/10 Helpfulness 1/10

answer `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).

`distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).

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# change from displot to displot
# Code Sample:
feature2_ok = df.loc[df["target"] == 1]
feature2_ng = df.loc[df["target"] == 0]

fig, ax = plt.subplots(figsize=(20, 6))
sns.histplot(feature2_ok["feature_2"], color="orange", label="100% Equities", kde=True, linewidth=0)
sns.histplot(feature2_ng["feature_2"], label="100% Equities", kde=True, linewidth=0)

ax.set(xlim=(-100, 700), 
 xticks=[-100, -50, 0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700])

plt.legend(["Frist State", "Zero State"])
plt.title('Machine Performance Feature 2')
plt.ylabel('Frequency')
plt.grid()
plt.show()

Popularity 1/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: adapt deprecated either function future python

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Contributed on Oct 06 2021

Adventurous Anaconda

0 Answers Avg Quality 2/10

`distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).

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`distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).

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