/Python/How to convert data type of a column in pandas

How to convert data type of a column in pandas

# You can use "astype" method
# suppose you want to correct your "sales" column data type
df['sales'] = df['sales'].astype('float64')

Source: buggyprogrammer.com

Change dataframe column type

>>> df.astype({'col1': 'int32'}).dtypes
col1    int32
col2    int64
dtype: object

Source: pandas.pydata.org

Convert column to numeric pandas

# convert all columns of DataFrame
df = df.apply(pd.to_numeric) # convert all columns of DataFrame

# convert just columns "a" and "b"
df[["a", "b"]] = df[["a", "b"]].apply(pd.to_numeric)

Source: stackoverflow.com

Convert pandas column type

# convert all columns of DataFrame
df = df.apply(pd.to_numeric) # convert all columns of DataFrame

# convert just columns "a" and "b"
df[["a", "b"]] = df[["a", "b"]].apply(pd.to_numeric)

Source: stackoverflow.com

Similar codes

75 votes185 views2 answers
Open and write in a file in python
Python
0 vote193 views1 answer
Python boxplot legend
Python
1 vote218 views1 answer
Python seconds counter
Python
0 vote197 views2 answers
How to draw a bar graph in python
Python
10 votes217 views5 answers
Opencv Webcam
Python
0 vote212 views2 answers
Cronometer python
Python
-1 vote268 views1 answer
Pandas splitting the data based on the day type
Python
0 vote153 views1 answer
Finetune vision model huggingface pytorch github
Python
0 vote235 views1 answer
How to save multiple choices in django site:stackoverflow.com
Python Django
2 votes201 views1 answer
Django get current date
Python