import matplotlib.pyplot as plt import numpy as np # Sample data columns = ('A', 'B', 'C', 'D') rows = ['Row1', 'Row2', 'Row3'] data = [[123, 211, 232, 121], [231, 321, 323, 131], [111, 223, 338, 201]] fig, ax = plt.subplots() # Hide axes ax.xaxis.set_visible(False) ax.yaxis.set_visible(False) ax.set_frame_on(False) # Create the table table = plt.table(cellText=data, colLabels=columns, rowLabels=rows, loc='center') # Auto scale the table layout table.scale(1, 1.5) plt.title('Basic Table in Matplotlib') plt.show()
import matplotlib.pyplot as plt # Sample data columns = ('A', 'B', 'C', 'D') rows = ['Row1', 'Row2', 'Row3'] data = [[123, 211, 232, 121], [231, 321, 323, 131], [111, 223, 338, 201]] fig, ax = plt.subplots() # Hide axes ax.xaxis.set_visible(False) ax.yaxis.set_visible(False) ax.set_frame_on(False) # Create the table table = plt.table(cellText=data, colLabels=columns, rowLabels=rows, loc='center', cellLoc='center') # Customizations table.auto_set_font_size(False) table.set_fontsize(12) table.scale(1.2, 1.2) # Coloring cells cell_dict = table.get_celld() for i in range(len(data) + 1): for j in range(len(columns)): if i == 0: # Header cell cell_dict[(i, j)].set_facecolor('#40466e') cell_dict[(i, j)].set_text_props(color='w') else: cell_dict[(i, j)].set_facecolor('#f2f4f7') plt.title('Custom Table Appearance') plt.show()
import matplotlib.pyplot as plt import numpy as np # Sample data columns = ('A', 'B', 'C', 'D') rows = ['Row1', 'Row2', 'Row3'] data = [[123, 211, 232, 121], [231, 321, 323, 131], [111, 223, 338, 201]] fig, ax = plt.subplots() # Hide axes ax.xaxis.set_visible(False) ax.yaxis.set_visible(False) ax.set_frame_on(False) # Create the table table = plt.table(cellText=data, colLabels=columns, rowLabels=rows, loc='center') # Customizations for (i, j), cell in table.get_celld().items(): cell.set_fontsize(12) if i == 0 or j == -1: cell.set_text_props(weight='bold', color='white') cell.set_facecolor('#40466e') else: if data[i-1][j] > 200: cell.set_facecolor('#ff9999') else: cell.set_facecolor('#99ff99') table.scale(1.2, 1.2) plt.title('Advanced Table with Highlighted Cells') plt.show()
import numpy as np import matplotlib.pyplot as plt # Energy consumption data for 4 quarters: Electricity and Gas consumption (in kWh) consumption_data = [ [250, 300, 320, 280], # Electricity consumption [210, 110, 80, 180] # Gas consumption ] quarters = ['Q1', 'Q2', 'Q3', 'Q4'] rows = ['Electricity', 'Gas'] columns = quarters colors = plt.get_cmap('tab10').colors cell_text = [] for row in range(len(consumption_data)): plt.plot(columns, consumption_data[row], color=colors[row], label=rows[row]) cell_text.append([x for x in consumption_data[row]]) table = plt.table(cellText=cell_text, rowLabels=rows, rowColours=colors, colLabels=columns, loc='bottom') plt.ylabel("Energy Consumption (kWh)") plt.xticks([]) plt.title('Monthly Energy Consumption Over 5 Years') plt.show()