show values on plot matplotlib python

certainly! in this tutorial, we'll learn how to display values on a plot using matplotlib in python. this can be particularly useful for making your plots more informative and easier to understand.

step 1: install matplotlib

if you haven't already installed matplotlib, you can do so using pip. open your terminal or command prompt and run:

step 2: basic plotting with matplotlib

let's start with a simple example of plotting some data.

step 3: adding values to the plot

to display the values of each point on the plot, we can use the `text` function from matplotlib. this function allows us to place text at specific coordinates on the plot.

here's how to modify the previous example to include value annotations:

explanation of the code

1. **importing matplotlib**: we start by importing the `pyplot` module from matplotlib.

2. **sample data**: we define our x and y data points.

4. **adding titles and labels**: we set the title and axis labels for clarity.

5. **annotating values**:
- we use a `for` loop to iterate over the `y` values.
- we convert each value to a string using `str(value)` and set the font size and alignment.
- the `ha='center'` and `va='bottom'` parameters center the text horizontally and position it slightly above the data points vertically.

customization options

- `fontsize`: change the size of the text.
- `color`: set the color of the text (e.g., `color='red'`).
- `fontweight`: change the weight (e.g., `fontweight='bold'`).
- `rotation`: rotate the text to a specified angle.

example with customization

here's an example with some custom text styling:

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show values
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figure annotation
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