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

28 votes198 views2 answers
Pandas replace nan with value above
Python
7 votes196 views3 answers
How to run cmd command python
Python
0 vote235 views1 answer
This figure includes axes that are not compatible with tight_layout, so results might be incorrect
Python
0 vote183 views1 answer
The Bytearray Type
Python
0 vote210 views1 answer
Detect gender from name
Python
0 vote201 views1 answer
Drawing diff circles with random radius in diff positions .
Python
2 votes163 views2 answers
Spacy frenc hlemmatizer
Python
0 vote196 views1 answer
Password combination python
Python
0 vote181 views1 answer
Função find python
Python
0 vote201 views1 answer
Nlp spacy medium
Python