![]() ![]() Here we are going to learn how to add legend at a specific position of scatter plot. plt.show() method is used to visualize the plot on the user’s screen.Īlso, read: Matplotlib save as png Matplotlib scatter plot legend position.plt.legend() method is used to add a legend to the plot.plt.scatter() method is used to plot scatter graph. ![]() In the above example, we import the pyplot module of matplotlib. ![]() Let’s see an example of a scatter plot with the legend: # Import libraries bbox_to_anchor: represent the coordinates of legend on the graph.loc: represent the location of the legend.ncol: represent the number of columns in legend.title: specify the label you want to add.The parameters used above are described below: The syntax to add a legend to the plot: (, ncol=1, loc="upper left", bbox_to_anchor=(1,1)) We use the () method to mark out and label the elements of the graph. We can add a legend to the plot using the matplotlib module. Generate a Plot: Use the show() method to visualize the plot on the user’s windows.Add Legend: By using the legend() method we can add a legend to a plot.Plot scatter graph: By using the scatter() method we can draw a plot.Define X and Y: Define the data coordinates values used for the x-axis and y-axis.Defining Libraries: Import the important libraries which are required for data creation and manipulation ( Numpy and Pandas) and for data visualization ( pyplot from matplotlib).The following steps are used to plot scatter graph and add a legend to it are outlined below: It represent the reletionship between two variables in a data-set. Scatter Plot is a graph in which the values of two variables are plotted along two axes. Legendis an area that outlines the elements of the plot. Now before starting the topic firstly, we have to understand what does “legend” means and how “scatter plot created”. In this section, we learn about how to add a legend to the Scatter Plot in matplotlib in Python. Matplotlib scatter plot legend by color.Python seaborn scatter plot legend outside.Matplotlib scatter plot legend facecolor.Matplotlib scatter plot legend position.The color we chosen are Green and Magenta. So the resultant chart will beĮxample: Multiple line chart in python with specified line color: import matplotlib.pyplot as plt The Line we chosen are dashed line and dotted line. Line styles for python line chart: Line styles: CharacterĮxample: Multiple line chart in python with different line style: import matplotlib.pyplot as plt Line10: Displays the resultant multiple line chart Line 6: Gets the title for the plot Line7 and 8: Gets the label for x and y axis respectively Line9: plots the legend for line_chart1 and line_chart2. Line 4 and 5: Plots the line charts (line_chart1 and line_chart2) with sales1 and sales 2 and choses the x axis range from 1 to 12. Line 2 and 3: Inputs the arrays to the variables named sales1 and sales2. Line 1: Imports the pyplot function of matplotlib library in the name of plt. Lets take an example of sale of units in 20 to demonstrate line chart in python. ![]() Multiple Line chart in Python with legends and Labels: Line 4: Displays the resultant line chart in python Line 2: Inputs the array to the variable named values Line 3: Plots the line chart with values and choses the x axis range from 1 to 11. lets see with an example for eachĬreate simple Line chart in Python: import matplotlib.pyplot as plt This python Line chart tutorial also includes the steps to create multiple line chart, Formatting the axis, using labels and legends. In this Tutorial we will learn how to plot Line chart in python using matplotlib. ![]()
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