/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

317 votes349 views5 answers
Font awesome cdn bootstrap
Python
3 votes147 views3 answers
Get every nth element in list python
Python
0 vote191 views1 answer
Rename a variable using .format in python
Python
-1 vote155 views1 answer
How to unstack multiindex pandas
Python
0 vote175 views1 answer
Mad scipy
Python
0 vote163 views1 answer
Flask multuple parameters
Python
3 votes137 views1 answer
Get column index pandas
Python
28 votes148 views2 answers
Convert string to double 2 decimal places python
Python
3 votes146 views1 answer
How does scope work in python
Python
0 vote134 views1 answer
Df count zeros
Python