Adapt legend in LOG

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Aug 6th, 2022
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How to adapt legend in LOG

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Hello friends welcome back to our Channel so in todayamp;#39;s session weamp;#39;ll discuss about one more tag in HTML just we missed in our previous sessions that is a field set right Phil said that so this tag is used to group the form elements group a form elements right so if you want to group for example if you consider any profile a student profile so that may contains his personal information academic information excuse me next extracurricular activities and the co-curricular activities like that right so if you want to group everything then we are going to use this field set tag right see for example I have created a page so it consists of a personal information first name second name gender some address and the next one first year marks second year marks third year Max and the fourth year Max overall percentage this is completely academic details and the next one Hobbies which is a extracurricular activities right so if you group all these things in different ways then the l

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To create a legend in Matplotlib, you can use the legend() function after plotting your data. This function adds a legend to your plot, which helps to identify different data series.
# How to create a custom legend with matplotlib axes. bar( label=Men ) axes. bar( label=Women ) axes. men = axes. bar() women = axes. bar() axes. from matplotlib. patches import Patch handles = [ Patch(facecolor=#5c44fd, label=Tech), Patch(facecolor=#ff5566, label=Clothing) ]
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]:
Legends are a useful way to label data series plotted on a graph. These examples show how to create a legend and make some common modifications, such as changing the location, setting the font size, and adding a title.
Python has a function called legend() which is used to place a legend on the axis. The legend function has an attribute called loc which is used to denote the location of the legend. The default value of attribute loc is upper left. Other string, such as upper right, lower left, lower right can also be used.

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