Matplotlib.axes.Axes.table() in Python - GeeksforGeeks

21 Apr, 2020
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
The Axes.table() function in axes module of matplotlib library is also used to add a table to an Axes.
Syntax: Axes.table(ax, 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)
Parameters: This method accept the following parameters that are described below:
cellText : This parameter contains the texts to place into the table cells.
cellColours : This parameter is the background colors of the cells.
cellLoc : This parameter is the alignment of the text within the cells.
colWidths : This parameter is the column widths in units of the axes.
rowLabels : This parameter is the text of the row header cells.
rowColours : This parameter is the colors of the row header cells.
rowLoc : This parameter is the text alignment of the row header cells.
colLabels : This parameter is the text of the column header cells.
colColours : This parameter is the colors of the column header cells.
colLoc : This parameter is the text alignment of the columnheader cells.
Loc : This parameter is the position of the cell with respect to ax.
bbox : This parameter is the bounding box to draw the table into.
edges : This parameter is the cell edges to be drawn with a line.
Returns: This returns the following:
table : This method returns the created table.
Below examples illustrate the matplotlib.axes.Axes.table() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib functionimport matplotlib.pyplot as plt  val1 = ["{:X}".format(i) for i in range(10)]val2 = ["{:02X}".format(10 * i) for i in range(10)]val3 = [["" for c in range(10)] for r in range(10)]  fig, ax = plt.subplots()ax.set_axis_off()table = ax.table(    cellText = val3,     rowLabels = val2,     colLabels = val1,    rowColours =["palegreen"] * 10,     colColours =["palegreen"] * 10,    cellLoc ='center',     loc ='upper left')          ax.set_title('matplotlib.axes.Axes.table() function Example',             fontweight ="bold")  plt.show()
Output:
Example 2:
# Implementation of matplotlib functionimport numpy as npimport matplotlib.pyplot as plt      data = [[ 66, 174,  71, 58],        [ 58, 139,  45, 164],        [ 89,  52, 18, 81],        [ 78,  58, 123,  68],        [13, 159, 164, 80]]   val1 = ('Geek1', 'Geek2', 'Geek3', 'Geek4')val2 = ['Month % d' % x for x in (5, 4, 3, 2, 1)]val3 = np.arange(0, 2500, 500)val4 = 1000val5 = plt.cm.plasma(np.linspace(0, 0.5, len(val2)))val6 = len(data)val7 = np.arange(len(val1)) + 0.3val8 = 0.4val9 = np.zeros(len(val1))   lista = []  fig, ax = plt.subplots()   for row in range(val6):      ax.bar(val7, data[row], val8, bottom = val9,           color = val5[row])    val9 = val9 + data[row]      lista.append([(x // 50) for x in val9])      the_table = ax.table(cellText = lista,                      rowLabels = val2,                      rowColours = val5,                      colLabels = val1,                      loc ='bottom')   plt.subplots_adjust(left = 0.2, bottom = 0.2)  ax.set_xticks([])  ax.set_title('matplotlib.axes.Axes.table() function Example',              fontweight ="bold")  plt.grid()plt.show()
Output:
Python-matplotlib
Python
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