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')
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)
python: transform as type numeirc
df['myvar'] = df['myvar'].astype(str) # Transform as character df['myvar'] = df['myvar'].astype(float) # Transform as float df['myvar'] = df['myvar'].astype(int) # Transform as numeric
change dataframe column type
>>> df.astype({'col1': 'int32'}).dtypes col1 int32 col2 int64 dtype: object
set column datatype pandas
df = pd.read_csv("weather.tsv", sep="\t", dtype={'Day': str,'Wind':int64}) df.dtypes
Copyright © 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
