![]() Pie Chart: A pie chart is a circular figure that depicts the percentage or proportion of. Idea is to compare sales of products and how they performed in the last 5 years. A line plot, simply put, connects the data points with a straight line. ![]() In the code below, we are creating a pandas DataFrame consisting sales of two products A and B along with time period (Year). Legend=False tells pandas to turnoff legendĪdd Multiple Lines in Line Graph Pandas Way Syntax of ax.set family functions is equivalent to plt. It can also be written like the code below. set method is used to add x and y axis labels, limits and ticks. You can mention any color ('g' for green, 'b' for blue, 'k' for black etc.) They refer to cirles, dash lines, dash-dotted lines. You can also use these styles ro, ro-, r+, rD. Plt.bar(x, y, color='red') # Change bar color Plt.ylabel("Math Score") # Assign the name of the y axis Plt.xlabel('Students') # Assign the name of the x axis I am trying to pick a vertical line that I draw on a X-Y plot when I click near. ![]() ![]() Plt.title("Simple Bar graph") # Name title of the graph (x, y, sNone, cNone, markerNone, cmapNone, normNone, vminNone, vmaxNone, alphaNone, linewidthsNone,, edgecolorsNone, plotnonfiniteFalse, dataNone, kwargs) source. Suppose you want to show comparison between cities in terms of average annual income. import numpy as np import matplotlib.pyplot as plt create some data xy np.random.rand(4, 2) xyline (0, 1) set up figure and ax fig, ax plt. The following tables explain different graphs along with functions defined for these graphs in matplotlib library.īar Graph is used to make comparison between different categories or groups. If you are using Jupyter Notebook, you can submit this command %matplotlib inline once to display or show plots automatically without need to enter plt.show() after generation of each plot.įunctions used for different types of plots In general, we use this Python matplotlib pyplot Scatter Plot to analyze the relationship between two numerical data points by drawing a regression line. ![]()
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