pandas convert to integer code example

Example 1: column dataframe to int

df[[column_name]].astype(int)

Example 2: convert column to numeric pandas

# convert all columns of DataFrame
df = df.apply(pd.to_numeric) # convert all columns of DataFrame

# convert just columns "a" and "b"
df[["a", "b"]] = df[["a", "b"]].apply(pd.to_numeric)

Example 3: make string numeric pandas

df['DataFrame Column'] = df['DataFrame Column'].astype(int)

Example 4: 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

Example 5: convert pandas series from str to int

df['DataFrame Column'] = pd.to_numeric(df['DataFrame Column'])

Example 6: how to convert a pandas series from int to float in python

df['DataFrame Column'] = df['DataFrame Column'].astype(float)