lesson1Title

lesson2Title

lesson3Title

lesson4Title

lesson5Title

lesson6Title

lesson7Title

lesson8Title

lesson9Title

lesson10Title

lesson11Title

pythonDataAnalysisAdvancedChapter1Title

lesson12Title

pythonDataAnalysisAdvancedChapter2Title

pythonDataAnalysisAdvancedChapter3Title

lesson13Title

lesson14Title

lesson15Title

pythonDataAnalysisAdvancedChapter4Title

# Plotting with `plt.plot()`

The `plt.plot()` function is the most commonly used method in Matplotlib.

It lets you create simple line plots by specifying the data points for the x-axis and y-axis.

If you only pass one list of values, Matplotlib assumes it's the y-axis and automatically assigns numbers starting from 0 for the x-axis.

<br/>

## Plotting X and Y Values

When both x and y values are provided, Matplotlib connects the dots with a straight line by default.

```python title="Plotting X and Y Values"
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [10, 20, 25, 30, 40]

plt.plot(x, y)
plt.title("Sample Line Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.show()
```

* The order of `x` and `y` matters. Both lists must be the same length.
* If the plot looks wrong, check that your data is properly aligned.

<br/>

## Plotting Only Y Values

You can also plot a list of values without specifying `x`.

In that case, the x-axis will automatically be set to `[0, 1, 2, ...]`.

<br/>

```python title="Plotting Only Y Values"
y = [5, 9, 4, 7]

plt.plot(y)
plt.title("Auto X-Axis")
plt.ylabel("Y Values")
plt.show()
```

This is useful for quick visual checks of any 1D data.

When you pass only one list to plt.plot(), it assumes these are y-values and automatically assigns x-values as a sequence starting from 0. This feature is handy for quickly visualizing 1D data without needing explicit x-values.

Plotting with plt.plot()

Plotting X and Y Values

Plotting Only Y Values

What happens when you use plt.plot() with only one list of values?

Plotting with `plt.plot()`