I have the following code:
import pandas as pd
df = pd.DataFrame({'a': [2], 'b': ['1'], 'c': ['3'], 'd': [5]})
print(df.dtypes)
And obviously I get
a int64
b object
c object
d int64
dtype: object
as an output. I would like to map each of the columns to int64, but automatically - I don't want to go through all the columns manually and set each one of them to int64. Is there a one-liner or a crafty way to do it?
PS I know I can change the type to int64 by using pd.to_numeric(df['b'])
, for example. I want to do this for ALL the columns.
You can use pandas.DataFrame.astype
df = df.astype('int64')
print(df)
a int64
b int64
c int64
d int64
dtype: object
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.