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

1 vote277 views1 answer
Python lock using a file
Python
0 vote238 views1 answer
Bitbucket rest api python example
Python
0 vote274 views1 answer
Django month name from month number
Python
75 votes247 views4 answers
How to check for a substring in python
Python
-1 vote199 views1 answer
Import url
Python
15 votes231 views2 answers
Python make api request
Python
1 vote236 views1 answer
Fruit shop using list in python
Python
0 vote249 views1 answer
AttributeError: module 'psycopg2' has no attribute 'connection'
Python
1 vote236 views1 answer
How to ungrid something tkinter
Python
8 votes253 views1 answer
Iterative binary search python
Python