Pandas change to numeric

>>> s = pd.Series(["8", 6, "7.5", 3, "0.9"]) # mixed string and numeric values
>>> s
0      8
1      6
2    7.5
3      3
4    0.9
dtype: object

>>> pd.to_numeric(s) # convert everything to float values
0    8.0
1    6.0
2    7.5
3    3.0
4    0.9
dtype: float64

Source: stackoverflow.com

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

Source: stackoverflow.com

Similar codes

0 vote229 views2 answers
If list of columns exist pandas
Python
1 vote267 views3 answers
Python if not null
Python
-2 votes221 views1 answer
Python check set empty
Python
1 vote253 views1 answer
Python print os platform
Python
1 vote260 views2 answers
Pandas rename column values dictionary
Python
0 vote244 views1 answer
Python Print Variable Using the string formatting with positional arguments {}
Python
0 vote219 views1 answer
Convert tuple to array python
Python
0 vote226 views1 answer
Import reverse_lazy
Python
9 votes235 views2 answers
Import numpy python
Python
0 vote232 views1 answer
Find the path of python executable
Python