You can specify the color parameter as a positional argument (eg., ‘c’ –> means cyan color ‘y’ –> means yellow color) or as keyword argument (eg., color=’r’ –> means red color color=’green’ color=’#B026FF’ –> means neon purple color). You can either specify the color by their name or code or hex code enclosed in quotes. There are various colors available in python. You have to specify the value for the parameter color in the plot() function of matplotlib.pyplot. You can specify the color of the lines in the chart in python using matplotlib. Read: How to install matplotlib Python plot multiple lines of different color At the end, () function is called to display the graph containing the properties defined before the function. Then () function is called twice with different x, y parameters to plot two different lines. In the above example, the data is prepared as lists as x, y, z. Python plot multiple lines on the same graph # Plot another line on the same chart/graph So, open up your IPython shell or Jupiter notebook, and follow the code below: # Importing packages Let’s plot a simple graph containing two lines in python. Plot the data (multiple lines) and adding the features you want in the plot (title, color pallete, thickness, labels, annotation, etc…).Defining the data values that has to be visualized (Define x and y or array or dataframe).Import necessary libraries (pyplot from matplotlib for visualization, numpy for data creation and manipulation, pandas for Dataframe and importing the dataset, etc).You can do so, by following the given steps: You can also plot more than one line on the same chart/graph using matplotlib in python. A line chart is a type of chart/graph that shows the relationship between two quantities on an X-Y plane. It provides an API (or simply a submodule) called pyplot that contains different types of plots, figures, and related functions to visualize data. You can create 2D and 3D plots of the data from different sources like lists, arrays, Dataframe, and external files (CSV, JSON, etc.). It provides a wide variety of plots, tools, and extended libraries for effective data visualization. Python provides the Matplotlib library, the most commonly used package for data visualization. Matplotlib plot multiple lines from csv files.Matplotlib plot multiple lines different length.Matplotlib plot multiple lines in subplot.
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