Coding Ref

To use the `str.contains()`

method in Pandas, you can use the `str`

attribute of a Pandas series, followed by the `contains()`

method.

This method allows you to check if a string contains a specified substring, and returns a boolean series indicating whether each string in the series contains the substring.

Here's an example of using the `str.contains()`

method in Pandas:

main.py

```
import pandas as pd
# create a sample series
s = pd.Series(["apple", "banana", "orange", "pear"])
# check if each string in the series contains the substring "an"
s_contains = s.str.contains("an")
# display the result
print(s_contains)
```

This will check if each string in the series contains the substring "an", and return a boolean series indicating whether each string in the series contains the substring.

The output will be:

output

```
0 False
1 True
2 False
3 False
dtype: bool
```

The `str.contains()`

method is a convenient way to check if a string contains a specified substring.

It returns a boolean series indicating whether each string in the series contains the substring, which you can use to filter the data in the series.

Related tutorials curated for you

How to convert string to float in Pandas

How to use Timedelta in Pandas

How to use intertuples() in Pandas

How to calculate the variance in Pandas DataFrame

How to calculate the standard deviation in Pandas DataFrame

How to apply a function to multiple columns in Pandas

How to get the number of columns in a Pandas DataFrame

How to stack two Pandas DataFrames

How to get the absolute value for a column in Pandas

How to convert a series to a NumPy array in Pandas

How to convert a Pandas Index to a List

How to sort by two columns in Pandas