Answers for "changing datatype of a column in pandas"

15

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')
Posted by: Guest on July-20-2021
8

change dataframe column type

>>> df.astype({'col1': 'int32'}).dtypes
col1    int32
col2    int64
dtype: object
Posted by: Guest on July-09-2020
2

convert a pandas column to int

# convert Series
my_series = pd.to_numeric(my_series)

# convert column "a" of a DataFrame
df["a"] = pd.to_numeric(df["a"])
Posted by: Guest on November-13-2020
2

set type of column pandas

df.astype(int)
Posted by: Guest on November-30-2020
4

set column datatype pandas

df = pd.read_csv("weather.tsv", sep="\t",  
                 dtype={'Day': str,'Wind':int64})
df.dtypes
Posted by: Guest on October-14-2020

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