Error while trying to run ```corr()``` in python with pandas module

While trying to run the corr() method in python using pandas module, I get the following error:

FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.
  print(df.corr())

Note (Just for clarification) :- df is the name of the dataframe read from a csvfile.

For eg:-

import pandas as pd

df = pd.read_csv('Data.csv')
print(df.corr())

The problem only lies in the corr() method which raises the aforementioned error:

FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.

I partially understand the error, however I would like to know:

Are there any other alternative methods to do the same function of corr() to identify the relationship between each column in a data set? Like is there a way to replicate the function without using corr() method?

Sorry If my question is wrong or improper in anyway, I'm open to feedbacks.

Thanks in advance.

The problem only lies in the one function corr() which is not deprecated but its numeric_only Argument in the function is. So, you can set it to false or true according to needs by df.corr(numeric_only = *[True/False]*). You can learn more at its documentation.

p.s - I wrote so that it is more understandable and the fact that this problem was well known to me.