Is it possible to draw only a table with matplotlib? If I uncomment the line
plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row]) of this example code, the plot is still visible. I want to have a table on top of my (PyQt) window and underneath a plot (with some space in between).
Any help is very appreciated!
If you just wanted to change the example and put the table at the top, then loc='top' in the table declaration is what you need,
the_table = ax.table(cellText=cell_text, rowLabels=rows, rowColours=colors, colLabels=columns, loc='top') Then adjusting the plot with,
plt.subplots_adjust(left=0.2, top=0.8) A more flexible option is to put the table in its own axis using subplots,
import numpy as np import matplotlib.pyplot as plt fig, axs =plt.subplots(2,1) clust_data = np.random.random((10,3)) collabel=("col 1", "col 2", "col 3") axs[0].axis('tight') axs[0].axis('off') the_table = axs[0].table(cellText=clust_data,colLabels=collabel,loc='center') axs[1].plot(clust_data[:,0],clust_data[:,1]) plt.show() which looks like this,
You are then free to adjust the locations of the axis as required.
Not sure if this is already answered, but if you want only a table in a figure window, then you can hide the axes:
fig, ax = plt.subplots() # Hide axes ax.xaxis.set_visible(False) ax.yaxis.set_visible(False) # Table from Ed Smith answer clust_data = np.random.random((10,3)) collabel=("col 1", "col 2", "col 3") ax.table(cellText=clust_data,colLabels=collabel,loc='center') This is another option to write a pandas dataframe directly into a matplotlib table:
import numpy as np import pandas as pd import matplotlib.pyplot as plt fig, ax = plt.subplots() # hide axes fig.patch.set_visible(False) ax.axis('off') ax.axis('tight') df = pd.DataFrame(np.random.randn(10, 4), columns=list('ABCD')) ax.table(cellText=df.values, colLabels=df.columns, loc='center') fig.tight_layout() plt.show() 