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

2 votes155 views2 answers
Inspect rows in dictionary pthon
Python
1 vote159 views1 answer
Python <>
Python
8 votes155 views2 answers
How to add 2 integers in python
Python
0 vote154 views1 answer
Python run bat in new cmd window
Python
2 votes176 views3 answers
Combine list of dicts
Python
1 vote149 views1 answer
Remocve pyc files
Python
0 vote158 views1 answer
Split path in list of directories
Python
0 vote157 views1 answer
Creating new column with dictionary
Python
91 votes150 views6 answers
Reverse array python
Python
0 vote153 views1 answer
Http404 django
Python