Prerequisites: Matplotlib
A trend Graph is a graph that is used to show the trends data over a period of time. It describes a functional representation of two variables (x , y). In which the x is the time-dependent variable whereas y is the collected data. The graph can be in shown any form that can be via line chart, Histograms, scatter plot, bar chart, and pie-chart. In python, we can plot these trend graphs by using matplotlib.pyplot library. It is used for plotting a figure for the given data.
The task is simple and straightforward, for plotting any graph we must suffice the basic data requirement after this determine the values of x over the period of time and data collected for y. Plot the graphs for the above-given data.
Given below are various implementations to depict the same:
Example 1:
Python3
# import all the librariesimport numpy as npimport pandas as pdimport matplotlib.pyplot as plt # create a dataframeSports = { "medals": [100, 98, 102, 56, 78, 56, 78, 96], "Time_Period": [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017]} df = pd.DataFrame(Sports)print(df) # to plot the graphdf.plot(x="Time_Period", y="medals", kind="line")plt.show() |
Output:
medals Time_Period 0 100 2010 1 98 2011 2 102 2012 3 56 2013 4 78 2014 5 56 2015 6 78 2016 7 96 2017
Example 2: Using the above data we would plot the scatter and bar graph.
Python3
# import all the librariesimport numpy as npimport pandas as pdimport matplotlib.pyplot as plt # create a dataframeSports = { "medals": [100, 98, 102, 56, 78, 56, 78, 96], "Time_Period": [2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017]}df = pd.DataFrame(Sports)print(df) # to plot the graph# subplot (rowno,columno,position) is used# to plot in a single frame.# to plot the scatter graph ,write kind= scatterdf.plot(x="Time_Period", y="medals", kind="scatter")plt.title("scatter chart")plt.subplot(1, 1, 1) # to Plot the graph in Bar chartdf.plot(x="Time_Period", y="medals", kind="bar")plt.title("bar")plt.subplot(1, 1, 2) plt.show() |
Output:
Example 3: student getting marks in 2010.
Python3
# import the libraryimport matplotlib.pyplot as plt # Creation of Datax1 = ['math', 'english', 'science', 'Hindi', 'social studies']y1 = [92, 54, 63, 75, 53]y2 = [86, 44, 65, 98, 85] # Plotting the Dataplt.plot(x1, y1, label='Semester1')plt.plot(x1, y2, label='semester2') plt.xlabel('subjects')plt.ylabel('marks')plt.title("marks obtained in 2010") plt.plot(y1, 'o:g', linestyle='--', linewidth='8')plt.plot(y2, 'o:g', linestyle=':', linewidth='8') plt.legend() |
Output:
