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')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')pandas astype datetime
# converting the string to datetime format
df['Dates'] = pd.to_datetime(df['Dates'], format='%y%m%d')
# printing dataframe
print(df)
print(df.dtypes)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"])set column datatype pandas
df = pd.read_csv("weather.tsv", sep="\t",
dtype={'Day': str,'Wind':int64})
df.dtypesCopyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
