Convert dtype from object to int
Question:
I have
df = df['enrolment'].astype(str).astype(int)
changing from str to int but it doesn’t work. Instead, it says:
invalid literal for int() with base 10: '5,424'
I want to change from object to int. How do I solve this?
df=pd.read_csv('C:/data/intake-enrolment-and-graduates-by-course.csv',sep=',')
print(df['enrolment'].dtypes)
Answers:
Given the invalid literal error, the conversion from str to int fails as you have decimal commas in your numbers. These are nice for readability but throw a wrench into the conversion to integer. Deleting the commas does the trick.
In particular, use
df['enrollment'] = df['enrollment'].str.replace(',', '').astype(int)
I have
df = df['enrolment'].astype(str).astype(int)
changing from str to int but it doesn’t work. Instead, it says:
invalid literal for int() with base 10: '5,424'
I want to change from object to int. How do I solve this?
df=pd.read_csv('C:/data/intake-enrolment-and-graduates-by-course.csv',sep=',')
print(df['enrolment'].dtypes)
Given the invalid literal error, the conversion from str to int fails as you have decimal commas in your numbers. These are nice for readability but throw a wrench into the conversion to integer. Deleting the commas does the trick.
In particular, use
df['enrollment'] = df['enrollment'].str.replace(',', '').astype(int)