打印Matplotlib标题在表摘录上方形成大熊猫数据框架

发布于 2025-02-10 01:34:38 字数 945 浏览 1 评论 0原文

我有一个数据框，可以根据输入而更改大小。我使用Matplotlib以表格的形式绘制此数据框架。这是我的代码：

fig, ax = plt.subplots()
fig.patch.set_visible(False)
ax.axis('off')
ax.axis('tight')

the_table = ax.table(cellText=df_to_plot.values, colLabels=df_to_plot.columns, loc='center')
the_table.auto_set_font_size(False)  # To have a correct display
the_table.set_fontsize(7)
ax.set_title(f"{title}\n", y=1, pad=10)
fig.tight_layout() # I tried with and without
fig.savefig(save_name, bbox_inches='tight') # save_name end with .pdf

当我拥有带有许多行的数据框时出现的问题，标题与表重叠。我试图将y = 1打印为无花果的顶部，但它静止。我尝试设置pad，但它不会更改任何内容。我尝试使用.thight_layout（）对其进行纠正，但会引发一个错误：用户浏览：不应用的紧密布局。

我的表不超过PDF文件，但没有位于标题的顶部。

我希望标题在我的桌子上方，无论其大小如何。

原文

I have a data frame that can change size depending on the input.
I plot this data frame in the form of a table using matplotlib.
Here's my code :

fig, ax = plt.subplots()
fig.patch.set_visible(False)
ax.axis('off')
ax.axis('tight')

the_table = ax.table(cellText=df_to_plot.values, colLabels=df_to_plot.columns, loc='center')
the_table.auto_set_font_size(False)  # To have a correct display
the_table.set_fontsize(7)
ax.set_title(f"{title}\n", y=1, pad=10)
fig.tight_layout() # I tried with and without
fig.savefig(save_name, bbox_inches='tight') # save_name end with .pdf

My problem appears when i have a dataframe with many rows, the title overlaps the table.
I tried to put y=1 to print the title a the top of the fig but it stills overlaps.
I tried to set a pad but it doesn't change anything.
I tried to use .thight_layout() to correct it but it throws a error : UserWarning: Tight layout not applied.

My table does not exceed the pdf file but there is no place at the top for the title.

I want the title to be just above my table, regardless of its size.

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余生共白头 2025-02-17 01:34:38

使用bbox参数可为您提供最佳控制权，以最佳控制 table ：

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(0, 1000, size=(88,7)))

fig, ax = plt.subplots(figsize=(210/25.4, 297/25.4), layout='constrained')
fig.suptitle('The Title')
ax.axis('off')
table = ax.table(cellText=df.values, colLabels=df.columns, bbox=[0,0,1,1])
table.set_fontsize(7)
fig.savefig('table.png', bbox_inches='tight')

Using the bbox parameter gives you best control over placing the table:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randint(0, 1000, size=(88,7)))

fig, ax = plt.subplots(figsize=(210/25.4, 297/25.4), layout='constrained')
fig.suptitle('The Title')
ax.axis('off')
table = ax.table(cellText=df.values, colLabels=df.columns, bbox=[0,0,1,1])
table.set_fontsize(7)
fig.savefig('table.png', bbox_inches='tight')