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Matplotlib 中表格周围的空格

[英]Whitespace Around Table in Matplotlib

I want to create a table using Matplotlib to give the outcome of an engineering calculation.我想使用 Matplotlib 创建一个表来给出工程计算的结果。 However, I can't get rid of the whitespace around the table.但是,我无法摆脱桌子周围的空白。 I want -almost- no whitespace around the table so user can copy the png and use it in their report.我希望 - 几乎 - 表格周围没有空格,因此用户可以复制 png 并在他们的报告中使用它。


import matplotlib.pyplot as plt
FS_VRM2002 = 1.4
FS_CTRS2013 = 1.3
FS_PSS2017 = 1.2
FS_A2012 = 1.1
FS_KLVF2017 = 1.0
FS_list = []
Name_list = []
if True:
    FS_list.append(FS_VRM2002)
    Name_list.append("Vermeer, Ruse & Marcher (2002)")
if True:
    FS_list.append(FS_CTRS2013)
    Name_list.append("Carranza-Torres et. al. (2013)")
if True:
    FS_list.append(FS_PSS2017)
    Name_list.append("Paternesi, Schweiger & Scarpelli (2017)  ")
if True:
    FS_list.append(FS_A2012)
    Name_list.append("Anagnostou (2012) ")
if True:
    FS_list.append(FS_KLVF2017)
    Name_list.append("Kavvadas, Litsas, Vazaios & Fortsakis (2017)")

FS_list_table = []
for i, j in enumerate(FS_list):
    FS_list_table.append([j])
    
fig, ax = plt.subplots(figsize=(6,5))


table = ax.table(
    cellText=FS_list_table,
    colLabels=["Factor of Safety"],
    rowLabels=Name_list,
    loc="center",
    cellLoc="center",
    colWidths=[0.2],
    rowLoc="center",
)
ax.axis("tight")
ax.axis("off")

Outcome:结果:

在此处输入图像描述

You can reach a reproduced version here: https://share.streamlit.io/akrolsmir/streamlit-snippet/main?snippet_id=OEmnTTRC您可以在此处获得复制版本: https://share.streamlit.io/akrolsmir/streamlit-snippet/main?snippet_id=OEmnTTRC

If you want the whole figsize, specify it with box=[x0,x1,y0,y1] .如果您想要整个 figsize,请使用box=[x0,x1,y0,y1]指定它。

fig, ax = plt.subplots(figsize=(5,2.5))
table = ax.table(
    cellText=FS_list_table,
    colLabels=["Factor of Safety"],
    rowLabels=Name_list,
    loc="center",
    cellLoc="center",
    colWidths=[0.2],
    rowLoc="center",
    bbox=[0,0,1,1]
)
ax.axis("tight")
ax.axis("off")

plt.show()

在此处输入图像描述

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