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).
This question is related to
python
matplotlib
pyqt
The answer is
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.
You can di this:
#axs[1].plot(clust_data[:,0],clust_data[:,1]) # Remove this if you don't need it
axs[1].axis("off") # This will leave the table alone in the window
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()
Source: Stackoverflow.com