# Use DataFrame.apply / Series.apply with a default value for Exceptions
```python
pip install a-pandas-ex-apply-ignore-exceptions
```
```python
from a_pandas_ex_apply_ignore_exceptions import pd_add_apply_ignore_exceptions
import pandas as pd
pd_add_apply_ignore_exceptions()
df = pd.read_csv(
"https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv"
)
# the Exception value is the first arg, the rest is just like apply
df1 = df.PassengerId.ds_apply_ignore(pd.NA, lambda x: x / 3)
df2 = df.ds_apply_ignore(pd.NA, lambda x: x["PassengerId"] / 3, axis=1)
df3 = df.PassengerId.ds_apply_ignore(pd.NA, lambda x: x / 0)
df4 = df.ds_apply_ignore(pd.NA, lambda x: x["PassengerId"] / 0, axis=1)
print(df1)
print(df2)
print(df3)
print(df4)
r"""
0 0.333333
1 0.666667
2 1.000000
3 1.333333
4 1.666667
...
886 295.666667
887 296.000000
888 296.333333
889 296.666667
890 297.000000
Name: PassengerId, Length: 891, dtype: float64
0 0.333333
1 0.666667
2 1.000000
3 1.333333
4 1.666667
...
886 295.666667
887 296.000000
888 296.333333
889 296.666667
890 297.000000
Length: 891, dtype: float64
0 <NA>
1 <NA>
2 <NA>
3 <NA>
4 <NA>
...
886 <NA>
887 <NA>
888 <NA>
889 <NA>
890 <NA>
Name: PassengerId, Length: 891, dtype: object
0 <NA>
1 <NA>
2 <NA>
3 <NA>
4 <NA>
...
886 <NA>
887 <NA>
888 <NA>
889 <NA>
890 <NA>
Length: 891, dtype: object
"""
```
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