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This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide. Tagging! You can also browse the example gallery by tags.
- 3D Plotting
Plot contour (level) curves in 3D using the extend3d option....
- Lines, Bars and Markers
Lines, Bars and Markers - Examples — Matplotlib 3.9.2...
- Images, contours and fields
Images, contours and fields - Examples — Matplotlib 3.9.2...
- Subplots, axes and figures
Subplots, axes and figures - Examples — Matplotlib 3.9.2...
- Statistics
The histogram (hist) function with multiple data sets....
- Pie and polar charts
Labeling a pie and a donut. Labeling a pie and a donut. Bar...
- Text, labels and annotations
Controlling style of text and labels using a dictionary....
- Color
Color#. For a description of the colormaps available in...
- 3D Plotting
I just finished writing code to make a plot using pylab in Python and now I would like to superimpose a grid of 10x10 onto the scatter plot. How do I do that? My current code is the following: x = numpy.arange(0, 1, 0.05) y = numpy.power(x, 2) fig = plt.figure() ax = fig.gca() ax.set_xticks(numpy.arange(0, 1, 0.1))
Matplotlib grid is a powerful tool that adds horizontal and vertical lines to your plots, creating a grid-like structure. This grid helps viewers easily compare data points and understand the scale of the visualization. Let’s start with a simple example of how to add a basic grid to a matplotlib plot:
Add grid lines to a matplotlib chart with the grid function, both major and minor grids and learn how to customize the properties of the grid and how to set custom grid locations.
Go to the end to download the full example code. Grid elaborate ¶. An example displaying a grid on the axes and tweaking the layout. Text(-0.05, 1.01, '\n\n Draw ticks and grid ')
Download Python source code: simple_axesgrid.py. Download zipped: simple_axesgrid.zip. Gallery generated by Sphinx-Gallery.
11 Ιαν 2024 · In this example, the code uses Matplotlib and add_gridspec() to create a figure with a 2×2 grid of subplots. It defines three subplots (line plot, scatter plot, and bar plot) within this grid and plots data on each. Additionally, it adds a dashed grid to all subplots, enhancing visualization.
