Matplotlib.pyplot.table() is a subpart of matplotlib library in which a table is generated using the plotted graph for analysis. This method makes analysis easier and more efficient as tables give a precise detail than graphs. The matplotlib.pyplot.table creates tables that often hang beneath stacked bar charts to provide readers insight into the data generated by the above graph.
Syntax: matplotlib.pyplot.table(cellText=None, cellColours=None, cellLoc=’right’, colWidths=None,rowLabels=None, rowColours=None, rowLoc=’left’, colLabels=None, colColours=None, colLoc=’center’, loc=’bottom’, bbox=None, edges=’closed’, **kwargs)
Example 1: Consider a graph analyzing the increase in price of crops in months. The following code is for a non linear graph.
Python3
# importing necessary packagessimport numpy as npimport matplotlib.pyplot as plt# input data valuesdata = [[322862, 876296, 45261, 782372, 32451], [58230, 113139, 78045, 99308, 516044], [89135, 8552, 15258, 497981, 603535], [24415, 73858, 150656, 19323, 69638], [139361, 831509, 43164, 7380, 52269]]# preparing values for graphcolumns = ('Soya', 'Rice', 'Wheat', 'Bakri', 'Ragi')rows = ['%d months' % x for x in (50, 35, 20, 10, 5)]values = np.arange(0, 2500, 500)value_increment = 1000# Adding pastel shades to graphcolors = plt.cm.Oranges(np.linspace(22, 3, 12))n_rows = len(data)index = np.arange(len(columns)) + 0.3bar_width = 0.4# Initializing vertical-offset for the graph.y_offset = np.zeros(len(columns))# Plot bars and create text labels for the tablecell_text = []for row in range(n_rows): plt.plot(index, data[row], bar_width, color=colors[row]) y_offset = y_offset + data[row] cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])# Reverse colors and text labels to display table contents with# color.colors = colors[::-1]cell_text.reverse()# Add a table at the bottomthe_table = plt.table(cellText=cell_text, rowLabels=rows, rowColours=colors, colLabels=columns, loc='bottom')# make space for the table:plt.subplots_adjust(left=0.2, bottom=0.2)plt.ylabel("Price in Rs.{0}'s".format(value_increment))plt.yticks(values * value_increment, ['%d' % val for val in values])plt.xticks([])plt.title('Cost price increase')# plt.show()-display graph# Create image. plt.savefig ignores figure edge and face color.fig = plt.gcf()plt.savefig('pyplot-table-original.png', bbox_inches='tight', dpi=150) |
Output:
Example 2: Let’s consider the rise in price of milk of different brands in past years
Python3
# importing necessary packagessimport numpy as npimport matplotlib.pyplot as plt# input data valuesdata = [[322862, 876296, 45261, 782372, 32451], [58230, 113139, 78045, 99308, 516044], [89135, 8552, 15258, 497981, 603535], [24415, 73858, 150656, 19323, 69638], [139361, 831509, 43164, 7380, 52269]]# preparing values for graphcolumns = ('Gokul', 'Kwality', 'Bakhri', 'Arun', 'Amul')rows = ['%d months' % x for x in (50, 35, 20, 10, 5)]values = np.arange(0, 2500, 500)value_increment = 1000# Adding pastel shades to graphcolors = plt.cm.Oranges(np.linspace(22, 3, 12))n_rows = len(data)index = np.arange(len(columns)) + 0.3bar_width = 0.4# Initializing vertical-offset for the graph.y_offset = np.zeros(len(columns))# Plot bars and create text labels for the tablecell_text = []for row in range(n_rows): plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row]) y_offset = y_offset + data[row] cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])# Reverse colors and text labels to display table contents with# color.colors = colors[::-1]cell_text.reverse()# Add a table at the bottomthe_table = plt.table(cellText=cell_text, rowLabels=rows, rowColours=colors, colLabels=columns, loc='bottom')# make space for the table:plt.subplots_adjust(left=0.2, bottom=0.2)plt.ylabel("Rise in Rs's".format(value_increment))plt.yticks(values * value_increment, ['%d' % val for val in values])plt.xticks([])plt.title('Cost of Milk of diff. brands')# plt.show()-display graph# Create image. plt.savefig ignores figure edge and face color.fig = plt.gcf()plt.savefig('pyplot-table-original.png', bbox_inches='tight', dpi=150) |
Output:
