显示先前创建的熊猫图
假设我在jupyter笔记本中创建了一个条图：
import pandas as pd
import matplotlib.pyplot as plt
speed = [0.1, 17.5, 40, 48, 52, 69, 88]
lifespan = [2, 8, 70, 1.5, 25, 12, 28]
index = ["snail", "pig", "elephant", "rabbit", "giraffe", "coyote", "horse"]
df = pd.DataFrame({"speed": speed, "lifespan": lifespan}, index=index)
plot = df.plot(kind='bar', stacked=True)
这显示了我的图表。
然后，在下一个单元格中，我进行了修改，例如添加数据标签：
for bar in plot.patches:
height = bar.get_height()
width = bar.get_width()
x = bar.get_x()
y = bar.get_y()
label_text = height
label_x = x + width / 2
label_y = y + height / 2
if label_text != 0:
plot.text(
label_x,
label_y,
int(label_text),
ha="center",
va="center",
color="white",
fontweight="bold",
)
现在，如何显示情节再次？ plt.show（）什么也没返回。
Say I create a bar plot in a Jupyter notebook:
import pandas as pd
import matplotlib.pyplot as plt
speed = [0.1, 17.5, 40, 48, 52, 69, 88]
lifespan = [2, 8, 70, 1.5, 25, 12, 28]
index = ["snail", "pig", "elephant", "rabbit", "giraffe", "coyote", "horse"]
df = pd.DataFrame({"speed": speed, "lifespan": lifespan}, index=index)
plot = df.plot(kind='bar', stacked=True)
This shows my chart.
Then, in the next cell, I make a modification, e.g. adding data labels:
for bar in plot.patches:
height = bar.get_height()
width = bar.get_width()
x = bar.get_x()
y = bar.get_y()
label_text = height
label_x = x + width / 2
label_y = y + height / 2
if label_text != 0:
plot.text(
label_x,
label_y,
int(label_text),
ha="center",
va="center",
color="white",
fontweight="bold",
)
Now, how can I show the plot again? plt.show() returns nothing.
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只需再次显示图：
作为替代方案，您可以使用
plot.get_figure（）。Just show the figure again:
As an alternative, you can use
plot.get_figure().