Convert datatypes using Python Pandas - Float and String to integer

Code:
import pandas as pd
df['Decimals']=df['Decimals'].astype(int)

[adamshenk]

You're a legend for this I've been tryna troubleshoot this all day and before too

[falconeight]

Thank you! This had me stumped for a while. I couldn't sort my dataframes by number because my program interpreted them as strings from a csv file. But now I am able to view the datatypes of each field with what you've shown me here. I can also change the types now. Now when I sort, my numbers no longer list 200 as lower than 15. Thank you!

[ruvitkon]

Thank you very much. Exactly what i wanted :)

[jishnusajeev]

very much helped it brother..thanks a ton :)

[andredeoliveira]

Thanks! That's what I was looking for

[sanketkhandare]

I am working on my project and was stuck on this. Thanks

[adityathorat]

is there any alternative of the replace string option because its not working

[thelalka]

I've tried what you have showed in the video, but after the doing astype function to change from float to integer. And when I'm applying the info function then it's still showing me that column is in float64. please help me out

[swetapatra]

unable to convert a str column with numbers followed by % to an int or float .. what can i do ?

[shubhammural]

ValueError: Cannot convert non-finite values (NA or inf) to integer
i am getting this error

what if i have the null values?

[Mj-nkzp]

after doing this, can this give a correct prediction in machine learning ?

[AimarZayyan]

Hi, how do i change dtypes before import data. Ex: i import data values is 0001234 why the result is 1234 not 0001234. i want to values keep 0001234

[azurekam]

How to convert it when my data series contains both '.' and ', ' like [1.01, 1, 11, 1]?

[mcmyljf]

well not working for me thoo, but its really informative]