change dataframe column type
>>> df.astype({'col1': 'int32'}).dtypes
col1 int32
col2 int64
dtype: object
change dataframe column type
>>> df.astype({'col1': 'int32'}).dtypes
col1 int32
col2 int64
dtype: object
how to convert types of variablesin python
int(anyData) #any into integer
str(anyData) #any into string
ord(chr) #character into number
hex(int) #integer into hexadecimal string
oct(int) #integer into octal string
float(anyData) #any into float
tuple() #convert to tuple
set() #returns the type after converting to set
list() #convert any data type to a list
dict() #convert a tuple of order (key,value) into a dictionary
complex(real,imag) #converts real numbers to complex(real,imag) number
python: convert variable as character
df['myvar'] = df['myvar'].astype(str)
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