Adapt legend in zip

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Aug 6th, 2022
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How to adapt legend in zip

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How to put a legend outside the plot with Pandas? Make a dictionary d with keys Column1 and Column2. Make a data frame using DataFrame (d). Plot the data frame with a list of styles. Using legend(), place a legend on the figure. To display the figure, use the show() method.
To position the legend outside the plot, you can set the loc parameter to a value that is not within the plot area, such as upper left or upper right . In this example, the legend is positioned outside the plot in the upper left corner.
The `loc` parameter is another option for moving the legend in Matplotlib. It allows you to specify a string that represents the location of the legend within the plot area. Some of the common values for `loc` include `upper left`, `upper right`, `lower left`, `lower right`, and `center`.
Approach: Import Library (Matplotlib) Import / create data. Plot a chart. Add legend. Set position of legend using loc.
The simplest legend can be created with the plt.legend() command, which automatically creates a legend for any labeled plot elements: import matplotlib.pyplot as plt plt. style. %matplotlib inline import numpy as np. x = np. linspace(0, 10, 1000) fig, ax = plt. ax. ax. ax. In [7]: In [8]:
The vertical offset (relative to the font size) for the markers created for a scatter plot legend entry. 0.0 is at the base the legend text, and 1.0 is at the top. To draw all markers at the same height, set to [0.5] . Default is [0.375, 0.5, 0.3125] .
In order to place the legend outside of the plot, lets say at the center of the right side, we need to do two things. First, we need to shrink the width of the plot so that the legend fits the figure. Then, we can use the bboxtoanchor argument that offers a degree of control for manual legend placement.
Method 2: Using the loc parameter To position the legend outside the plot, you can set the loc parameter to a value that is not within the plot area, such as upper left or upper right . In this example, the legend is positioned outside the plot in the upper left corner.

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