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for loop for multiple scatter plots

Odd Ocelot answered on March 20, 2022 Popularity 3/10 Helpfulness 8/10

answer for loop for multiple scatter plots

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for loop for multiple scatter plots

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count=1
plt.subplots(figsize=(10, 8))
for i in df.columns:
    plt.subplot(3,2,count)
    sns.scatterplot(df["cnt"],df[i])
    count+=1

plt.show()

Popularity 3/10 Helpfulness 8/10 Language python

Source: datascience.stackexchange.com

Tags: for-loop python

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Contributed on Mar 20 2022

Odd Ocelot

0 Answers Avg Quality 2/10

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for loop for multiple scatter plots

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some_features = ["Hour","Holiday",'Rainfall(mm)','Snowfall (cm)','weekdays_weekend']
count=1
plt.subplots(figsize=(20, 18))
for some_individual_feature in some_features:
    plt.subplot(5,1,count)
    sns.scatterplot(bike_sharing_data["Rented Bike Count"],bike_sharing_data[some_individual_feature])
    count+=1

plt.show()

Popularity 3/10 Helpfulness 9/10 Language whatever

Source: datascience.stackexchange.com

Tags: for-loop whatever

Link to this answer
Share Copy Link

Contributed on Mar 20 2022

Odd Ocelot

0 Answers Avg Quality 2/10

for loop for multiple scatter plots

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for loop for multiple scatter plots

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