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 vote235 views1 answer
How to end a while loop python
Python
0 vote221 views1 answer
Django update replace regex
Python
9 votes224 views2 answers
Distance euc of two arrays python
Python
-2 votes236 views2 answers
Get sum of 2d array python
Python
0 vote235 views2 answers
Python datetime yyyy-MM-dd'T'HH:mm:ssZ
Python
0 vote227 views1 answer
How to have requirement file in python for libs
Python
0 vote228 views1 answer
PHP echo multiple lines example Using Nowdoc
Python
0 vote228 views1 answer
Pathlib path of current file
Python
0 vote239 views1 answer
Python hide print output
Python
0 vote250 views2 answers
Check if a value is in index pandas dataframe
Python