The function used in pandas to randomly sample fractions of rows from a DataFrame is `sample()`. Here is how you can use it:

1. First, import pandas library:
```python
import pandas as pd
```
2. Create a DataFrame:
```python
df = pd.DataFrame({'A': range(1, 6), 'B': range(10, 60, 10)})
```
3. Use the `sample()` function to randomly sample fraction of rows. For example, to sample 50% of the data:
```python
df_sample = df.sample(frac=0.5)
```
In the above code, `frac=0.5` means it will return 50% of the data. If you want to return n number of items from the dataframe, use `n` parameter. For example, `df.sample(n=3)` will return 3 random rows from the dataframe.

Note: The `random()`, `frac()`, and `choose()` are not functions used to sample data in pandas.

Question

The function used in pandas to randomly sample fractions of rows from a DataFrame is `sample()`. Here is how you can use it:

1. First, import pandas library:
```python
import pandas as pd
```
2. Create a DataFrame:
```python
df = pd.DataFrame({'A': range(1, 6), 'B': range(10, 60, 10)})
```
3. Use the `sample()` function to randomly sample fraction of rows. For example, to sample 50% of the data:
```python
df_sample = df.sample(frac=0.5)
```
In the above code, `frac=0.5` means it will return 50% of the data. If you want to return n number of items from the dataframe, use `n` parameter. For example, `df.sample(n=3)` will return 3 random rows from the dataframe.

Note: The `random()`, `frac()`, and `choose()` are not functions used to sample data in pandas.

Knowee AI · Accepted Answer

The function used in pandas to randomly sample fractions of rows from a DataFrame is `sample()`. Here is how you can use it:

1. First, import pandas library:
```python
import pandas as pd
```
2. Create a DataFrame:
```python
df = pd.DataFrame({'A': range(1, 6), 'B': range(10, 60, 10)})
```
3. Use the `sample()` function to randomly sample fraction of rows. For example, to sample 50% of the data:
```python
df_sample = df.sample(frac=0.5)
```
In the above code, `frac=0.5` means it will return 50% of the data. If you want to return n number of items from the dataframe, use `n` parameter. For example, `df.sample(n=3)` will return 3 random rows from the dataframe.

Note: The `random()`, `frac()`, and `choose()` are not functions used to sample data in pandas.

Which function in pandas is used to randomly sample fractions of rows from a DataFrame?sample()random()frac()choose()

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