Python：matplotlib/pandas - 将数据框绘制为子图中的表格
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Python: matplotlib/pandas - Plotting a dataframe as a table in a subplot
提问by McNibbler
I have a (very simplified) segment of code here for an open source project I'm working on for plotting ATE results from STDF data...
我在这里有一个（非常简化的）代码段，用于我正在处理的一个开源项目，用于从 STDF 数据绘制 ATE 结果......
def plot_everything_from_one_test(test_data, data, num_of_sites, test_tuple):
plt.figure()
# Title for everything
plt.suptitle("Test Information Goes Here")
# Find the limits
low_lim = get_plot_min(data, test_tuple, num_of_sites)
hi_lim = get_plot_max(data, test_tuple, num_of_sites)
######
table = function_that_returns_a_dataframe()
plt.subplot(121)
# HOW WOULD I ACTUALLY PUT A DATAFRAME HERE
######
# Plots the trendline
plt.subplot(222)
plot_full_test_trend(test_data, low_lim, hi_lim)
plt.title("Trendline")
# Plots the histogram
plt.subplot(224)
plot_full_test_hist(test_data, low_lim, hi_lim)
plt.title("Histogram")
plt.show()
Basically, all I really want to do is in subplot section (121) to render simply a table containing the contents of an array or dataframe or whatever. This dataframe happens to be 10 columns wide and indefinitely long (in the order of magnitude of ~10s, but can be trimmed if needed). I've looked around and I know matplotlib has table(), but from what I can see it creates a new figure (unwanted) and it also tries to force a graph to render on top of it, even though I really don't want to have that render because it really would be useless. I saw this could be sort-of circumvented, but I don't know how I would manage it while preserving my subplots. Perhaps I just don't understand how matplotlib works with them.
基本上，我真正想做的就是在子图部分 (121) 中简单地呈现一个包含数组或数据框内容的表格或其他内容。这个数据框恰好有 10 列宽和无限长（大约 10 秒的数量级，但可以根据需要进行修剪）。我环顾四周，我知道 matplotlib 有 table()，但是从我所看到的，它创建了一个新图形（不需要的），并且它还试图强制图形在其上呈现，即使我真的没有想要渲染，因为它真的没用。我看到这可以被规避，但我不知道如何在保留我的次要情节的同时管理它。也许我只是不明白 matplotlib 如何与它们一起工作。
Another problem is that when I can sort-of get tables to render, they are absurdly SLOW, reaching upwards of a minute to render a 10x30-something dataframe. Also, the text renders absurdly too small and doesn't scale. Sorry if this all sounds like a cluster of problems, but I really don't know how I would deal with what should be a simple render of a table. I may just convert to a string if I really need and render it as text. Thanks in advance!
另一个问题是，当我可以某种程度地获取要呈现的表格时，它们慢得荒谬，达到一分钟以上才能呈现 10x30 大小的数据帧。此外，文本渲染得太小而且无法缩放。对不起，如果这一切听起来像是一堆问题，但我真的不知道我将如何处理应该是简单的表格渲染。如果我真的需要，我可能只是将其转换为字符串并将其呈现为文本。提前致谢！
回答by Simon
You can add a tableto a subplot - you dont need a separate figure for it. Then you can turn the axis off for that subplot and it wont try to render anything other than the table in that region
您可以将 a 添加table到子图 - 您不需要单独的图形。然后您可以关闭该子图的轴，它不会尝试渲染该区域中除表格以外的任何内容
You also mentioned that your code is running slow when trying to render a 10x30 dataframe in the subplot. There might be an issue with you implementation of the table because the following renders within a second:
您还提到尝试在子图中渲染 10x30 数据帧时，您的代码运行缓慢。表格的实现可能存在问题，因为以下内容会在一秒钟内呈现：
import matplotlib.pyplot as plt
import pandas as pd
d = {'x{}'.format(i): range(30) for i in range(10)}
table = pd.DataFrame(d)
plt.figure()
# table
plt.subplot(121)
cell_text = []
for row in range(len(table)):
cell_text.append(table.iloc[row])
plt.table(cellText=cell_text, colLabels=table.columns, loc='center')
plt.axis('off')
# plot
plt.subplot(222)
plt.plot(table['x1'],table['x2'])
# plot
plt.subplot(224)
plt.plot(table['x1'],table['x2'])
plt.show()
