The function used to create a DataFrame is DataFrame(). This function is part of the pandas library in Python. Here's a simple step-by-step guide on how to create a DataFrame:

1. First, you need to import the pandas library. You can do this by typing `import pandas as pd` in your Python script or notebook.

2. Next, you can create a DataFrame from a dictionary. For example, you can create a dictionary where the keys are the column names and the values are lists of entries. Here's an example:

```python
data = {
'apples': [3, 2, 0, 1],
'oranges': [0, 3, 7, 2]
}
```

3. Now, you can use the `DataFrame()` function to create a DataFrame from this dictionary. Here's how you can do it:

```python
purchases = pd.DataFrame(data)
```

4. If you print the `purchases` DataFrame, you'll see something like this:

```python
print(purchases)
```

Output:

```
apples oranges
0 3 0
1 2 3
2 0 7
3 1 2
```

So, the correct answer to your question is `DataFrame()`.

Question

The function used to create a DataFrame is DataFrame(). This function is part of the pandas library in Python. Here's a simple step-by-step guide on how to create a DataFrame:

1. First, you need to import the pandas library. You can do this by typing `import pandas as pd` in your Python script or notebook.

2. Next, you can create a DataFrame from a dictionary. For example, you can create a dictionary where the keys are the column names and the values are lists of entries. Here's an example:

```python
data = {
    'apples': [3, 2, 0, 1], 
    'oranges': [0, 3, 7, 2]
}
```

3. Now, you can use the `DataFrame()` function to create a DataFrame from this dictionary. Here's how you can do it:

```python
purchases = pd.DataFrame(data)
```

4. If you print the `purchases` DataFrame, you'll see something like this:

```python
print(purchases)
```

Output:

```
   apples  oranges
0       3        0
1       2        3
2       0        7
3       1        2
```

So, the correct answer to your question is `DataFrame()`.

Knowee AI · Accepted Answer

The function used to create a DataFrame is DataFrame(). This function is part of the pandas library in Python. Here's a simple step-by-step guide on how to create a DataFrame:

1. First, you need to import the pandas library. You can do this by typing `import pandas as pd` in your Python script or notebook.

2. Next, you can create a DataFrame from a dictionary. For example, you can create a dictionary where the keys are the column names and the values are lists of entries. Here's an example:

```python
data = {
    'apples': [3, 2, 0, 1], 
    'oranges': [0, 3, 7, 2]
}
```

3. Now, you can use the `DataFrame()` function to create a DataFrame from this dictionary. Here's how you can do it:

```python
purchases = pd.DataFrame(data)
```

4. If you print the `purchases` DataFrame, you'll see something like this:

```python
print(purchases)
```

Output:

```
   apples  oranges
0       3        0
1       2        3
2       0        7
3       1        2
```

So, the correct answer to your question is `DataFrame()`.

Which of the following functions is used to create DataFrame?DataFrame()NewFrame( )CreateDataFrame( )None of the Above

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