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# How to Set Color Range In Matplotlib?

In matplotlib, you can set the color range by using the `vmin` and `vmax` parameters in the `imshow` function. These parameters allow you to specify the minimum and maximum values for the color map. By setting the `vmin` and `vmax` values, you can control the color range and ensure that the colors in your plot accurately reflect the data values. This can be particularly useful when working with datasets that have a wide range of values and you want to emphasize certain parts of the data. Additionally, you can use the `set_clim` method to adjust the color limits after the plot has been created.

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## How to set color range for a pie chart in matplotlib?

You can set the color range for a pie chart in matplotlib by using the `color` parameter when calling the `pie()` function. The `color` parameter allows you to specify a list of colors that will be used in the pie chart, and you can also set the color range by using a colormap from matplotlib.

Here is an example code snippet that demonstrates how to set the color range for a pie chart using a colormap:

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 ``` ```import matplotlib.pyplot as plt import numpy as np # Create some data for the pie chart sizes = [15, 30, 45, 10] labels = ['A', 'B', 'C', 'D'] # Create a colormap cmap = plt.get_cmap('viridis') # Create a pie chart with custom colors from the colormap plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140, colors=[cmap(i) for i in np.linspace(0, 1, len(sizes))]) plt.axis('equal') plt.show() ```

In this example, we first create a colormap using `plt.get_cmap('viridis')`. We then use a list comprehension to generate a list of colors from the colormap, with the number of colors equal to the number of data points in the pie chart. Finally, we pass this list of colors to the `colors` parameter of the `pie()` function to set the color range for the pie chart.

## How to set color range based on data distribution in matplotlib?

To set the color range based on data distribution in matplotlib, you can use the `vmin` and `vmax` parameters in the `imshow` function when plotting your data.

Here is an example of how to set color range based on data distribution:

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ``` ```import matplotlib.pyplot as plt import numpy as np # Generate random data data = np.random.randn(100, 100) # Set the color range based on data distribution vmin = np.min(data) vmax = np.max(data) # Plot the data with color range plt.imshow(data, cmap='viridis', vmin=vmin, vmax=vmax) plt.colorbar() plt.show() ```

In this example, `vmin` is set to the minimum value of the data array, and `vmax` is set to the maximum value of the data array. This will ensure that the color range of the plot is based on the distribution of the data. You can adjust the `cmap` parameter to choose a different color map for your plot.

## What is the function to set color range in matplotlib?

The function to set color range in matplotlib is `set_clim()`.

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