Iris¶
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Step 3. Assign it to a variable called iris¶
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Step 4. Create columns for the dataset¶
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# 1. sepal_length (in cm)
# 2. sepal_width (in cm)
# 3. petal_length (in cm)
# 4. petal_width (in cm)
# 5. class
Step 5. Is there any missing value in the dataframe?¶
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Step 6. Lets set the values of the rows 10 to 29 of the column 'petal_length' to NaN¶
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Step 7. Good, now lets substitute the NaN values to 1.0¶
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Step 8. Now let's delete the column class¶
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Step 9. Set the first 3 rows as NaN¶
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Step 10. Delete the rows that have NaN¶
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Step 11. Reset the index so it begins with 0 again¶
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BONUS: Create your own question and answer it.¶
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