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 vote260 views1 answer
Python delete header row
Python
0 vote176 views1 answer
Dont truncate dataframe jupyter pd display options
Python
0 vote166 views2 answers
Dropna threshold
Python
0 vote176 views1 answer
Log of number python
Python
50 votes174 views3 answers
Pandas save without index
Python
0 vote182 views1 answer
Box Plot, Python
Python
0 vote161 views1 answer
Python list for all months including leap years
Python
-1 vote198 views1 answer
Convert character to unicode python
Python
0 vote186 views1 answer
Pandas dataframe froms string
Python
0 vote173 views1 answer
Scipy version check
Python