Matplotlib.axes.Axes.table() in Python

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.

matplotlib.axes.Axes.table() Function

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 column
  header 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 function
import 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 function
import numpy as np
import 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 = 1000
val5 = plt.cm.plasma(np.linspace(0, 0.5, len(val2)))
val6 = len(data)
val7 = np.arange(len(val1)) + 0.3
val8 = 0.4
val9 = 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: