ax from plt subplots matplotlib

1. **basic structure**:

2. **creating subplots**:
you can create a single subplot or multiple subplots arranged in rows and columns.

3. **axes object**:
the axes objects (`ax`) are where the actual plotting happens. you can access them individually when you create multiple subplots.

4. **customization**:
each axes object can be customized independently (title, labels, limits, etc.).

basic syntax

- `nrows`: number of rows of subplots.
- `ncols`: number of columns of subplots.
- `figsize`: a tuple specifying the width and height of the figure in inches.
- `sharex`: if true, the x-axis is shared among subplots.
- `sharey`: if true, the y-axis is shared among subplots.

example code

explanation of the code:

1. **data generation**: we generate an array of `x` values and compute `y` values for sine, cosine, and tangent functions.

2. **creating subplots**:

3. **plotting**:
- for each subplot, we access the axes by indexing into the `axs` array.
- we use the `plot()` method to plot our data, and we customize each subplot with titles and labels.

4. **common x label**: we set a common x-axis label for all subplots.

#matplotlib #subplots #numpy
Ax
plt
subplots
matplotlib
figure
axes
visualization
data plotting
multiple plots
layout
grid
figure size
customization
axis labels
sharing axes