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enter here to learn how to create charts with the Python matplotlib module
A colormap, or cmap, is a mapping from a range of values to a range of colors. In Matplotlib, cmaps are used to colorize data in plots. There are many built-in cmaps in Matplotlib, and you can also create your own.
To use a cmap in Matplotlib, you can use the plt.cm.get_cmap() function. This function takes a cmap name as an argument and returns a colormap object. You can then use the colormap object to colorize your data.
Using colormaps in Matplotlib is a simple process. You can set the color map of a plot using the cmap keyword argument of various Matplotlib functions. In this section, we will discuss how to use colormaps in Matplotlib using some examples.
Let’s learn how to create Seaborn Heatmap chart in Python.
Let’s learn on how to create a BarPlot in SeaBorn Python library.
Let’s learn together how to create bar graph in Python matplotlib library.
Let’s learn to insert a pie chart in the Python Matplotlib library. I’ll show you the easiest way.
Let’s learn how to plot errorbar using Python library Matplotlib.
Error bars are used to represent the uncertainty or variability of a measurement. They can be used to plot data points with error bars in Python using the Matplotlib library.
Read More “How to Plot Errorbar Charts in Python with Matplotlib” »
Let’s learn how to plot log values in Numpy and Matplotlib Python libraries.
Read More “How to plot log values in Numpy and Matplotlib?” »
Learn the simplest method to create a histogram using Python’s Matplotlib and Numpy libraries. These powerful libraries provide all the necessary functions for effortless histogram generation.
Read More “How to create histogram in Matplotlib and Numpy the easiest way?” »
Let’s see how to generate distribution plot the easiest way in Python.
Read More “How to generate distribution plot the easiest way in Python?” »
Let’s draw again. This time we will use a matplotlib and numpy to get python cos(x) graph.
