You are given a code snippet that is a part of a larger program. The program contains a function called `y_axis_for_s_plots` that is responsible for plotting specific data points on the y-axis of a graph. Your task is to complete the implementation of the `y_axis_for_s_plots` function according to the following specifications:

The `y_axis_for_s_plots` function takes three parameters:
- `ax`: An object representing the graph's y-axis.
- `s_values`: A list of numerical values representing the data points to be plotted on the y-axis.
- `amount_of_y_labels`: An integer representing the desired number of y-axis labels.

You need to implement the following steps in the `y_axis_for_s_plots` function:
1. Calculate the minimum and maximum values from the `s_values` list.
2. Calculate the interval between two consecutive y-axis labels based on the range of values, `amount_of_y_labels`, and the desired tick spacing. The interval should be such that the y-axis labels are evenly distributed along the range of values.
3. Set the y-axis limits to the minimum and maximum values calculated in step 1.
4. Set the y-axis tick locations to be evenly spaced based on the interval calculated in step 2.
5. Set the y-axis tick labels to be formatted as floating-point numbers with two decimal places.

Implement the `y_axis_for_s_plots` function to fulfill the above requirements.
user
Sure, here's a Python function that implements the specifications you've provided. But I have to note that this function assumes that the `ax` parameter is a `matplotlib.axes.Axes` object, which is a common object used in matplotlib. If this is not the case, you'll need to adapt it accordingly.

Also, note that this function will overwrite the existing y-axis values, labels, and formatting. If you need to retain the previous ones, you might need to modify it accordingly. Here's the function:

```python
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator

def y_axis_for_s_plots(ax, s_values, amount_of_y_labels):
    # Step 1: Calculate the minimum and maximum values
    min_val, max_val = min(s_values), max(s_values)

    # Step 2: Calculate the interval
    tick_spacing = ((max_val - min_val) / (len(s_values) - 1)) if len(s_values) > 1 else 1
    multiplied_labels = int((amount_of_y_labels - 1) * tick_spacing)
    interval = round(max(s_values)-min(s_values)) // multiplied_labels

    # Step 3: Set the y-axis limits
    ax.set_ylim(min_val, max_val)

    # Step 4: Set the y-axis tick locations
    ax.yaxis.set_major_locator(MaxNLocator(interval=interval))
    ax.yaxis.set_label_position("outside")

    # Step 5: Set the y-axis tick labels
    ax.yaxis.set_major_formatter('{x:.2f}'.format)
```

Here's an example of how you could use it:

```python
import numpy as np

# Example data
s_values = np.arange(0, 10, 0.1)

# Set up plot
fig, ax = plt.subplots()

# Call the function
y_axis_for_s_plots(ax, s_values, 5)

# Add some sample data
x = np.arange(0, 5, 0.1)
y = s_values + np.sin(x)
ax.plot(x, y, label='Some Plot')

# Add labels, title, and legend
ax.set_xlabel('x-label')
ax.set_ylabel('y-label')
ax.set_title('Some Title')
ax.legend()

# Show the plot
plt.show()
```
assistant
You are given a code snippet that is a part of a larger program. The program contains a function called `y_axis_for_s_plots` that is responsible for plotting specific data points on the y-axis of a graph. Your task is to complete the implementation of the `y_axis_for_s_plots` function according to the following specifications:

The `y_axis_for_s_plots` function takes three parameters:
- `ax`: An object representing the graph's y-axis.
- `s_values`: A list of numerical values representing the data points to be plotted on the y-axis.
- `amount_of_y_labels`: An integer representing the desired number of y-axis labels.

You need to implement the following steps in the `y_axis_for_s_plots` function:
1. Calculate the minimum and maximum values from the `s_values` list.
2. Calculate the interval between two consecutive y-axis labels based on the range of values, `amount_of_y_labels`, and the desired tick spacing. The interval should be such that the y-axis labels are evenly distributed along the range of values.
3. Set the y-axis limits to the minimum and maximum values calculated in step 1.
4. Set the y-axis tick locations to be evenly spaced based on the interval calculated in step 2.
5. Set the y-axis tick labels to be formatted as floating-point numbers with two decimal places.

Implement the `y_axis_for_s_plots` function to fulfill the above requirements.
user
Sure, here is the implementation of the `y_axis_for_s_plots` function using matplotlib library in Python:

```python
import matplotlib.pyplot as plt
import numpy as np

def y_axis_for_s_plots(ax, s_values, amount_of_y_labels):
    # Step 1: Calculate the minimum and maximum values from the s_values list
    min_value = min(s_values)
    max_value = max(s_values)

    # Step 2: Calculate the interval between two consecutive y-axis labels
    tick_spacing = (max_value - min_value) / (amount_of_y_labels - 1)

    # Step 3: Set the y-axis limits to the minimum and maximum values calculated in step 1
    ax.set_ylim(min_value, max_value)

    # Step 4: Set the y-axis tick locations to be evenly spaced based on the interval calculated in step 2
    ax.yaxis.set_ticks(np.arange(min_value, max_value + tick_spacing, tick_spacing))

    # Step 5: Set the y-axis tick labels to be formatted as floating-point numbers with two decimal places
    ax.yaxis.set_major_formatter('{x:.2f}'.format)

    plt.show()
```

This function calculates the minimum and maximum values from the `s_values` list, calculates the interval between two consecutive y-axis labels, sets the y-axis limits to the minimum and maximum values, sets the y-axis tick locations to be evenly spaced based on the calculated interval, and formats the y-axis tick labels as floating-point numbers with two decimal places.
assistant