pandas 带有熊猫和 matplotlib 的条形图顶部的平均线
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Mean line on top of bar plot with pandas and matplotlib
提问by oal
I'm trying to plot a Pandas DataFrame, and add a line to show the mean and median. As you can see below, I'm adding a red line for the mean, but it doesn't show.
我正在尝试绘制 Pandas DataFrame，并添加一条线来显示均值和中值。正如你在下面看到的，我为平均值添加了一条红线，但它没有显示。
If I try to draw a green line at 5, it shows at x=190. So apparently the x values are treated as 0, 1, 2, ... rather than 160, 165, 170, ...
如果我尝试在 5 处画一条绿线，它会在 x=190 处显示。因此，显然 x 值被视为 0, 1, 2, ... 而不是 160, 165, 170, ...
How can I draw lines so that their x values match those of the x axis?
如何绘制线条使其 x 值与 x 轴的值匹配？
From Jupyter:
来自 Jupyter：
Full code:
完整代码：
%matplotlib inline
from pandas import Series
import matplotlib.pyplot as plt
heights = Series(
[165, 170, 195, 190, 170,
170, 185, 160, 170, 165,
185, 195, 185, 195, 200,
195, 185, 180, 185, 195],
name='Heights'
)
freq = heights.value_counts().sort_index()
freq_frame = freq.to_frame()
mean = heights.mean()
median = heights.median()
freq_frame.plot.bar(legend=False)
plt.xlabel('Height (cm)')
plt.ylabel('Count')
plt.axvline(mean, color='r', linestyle='--')
plt.axvline(5, color='g', linestyle='--')
plt.show()
采纳答案by Sergey Antopolskiy
Use plt.bar(freq_frame.index,freq_frame['Heights'])to plot your bar plot. Then the bars will be at freq_frame.indexpositions. Pandas in-build bar function does not allow for specifying positions of the bars, as far as I can tell.
使用plt.bar(freq_frame.index,freq_frame['Heights'])可绘制条形图。然后酒吧将在freq_frame.index位置。据我所知，Pandas 内置条形图功能不允许指定条形图的位置。
%matplotlib inline
from pandas import Series
import matplotlib.pyplot as plt
heights = Series(
[165, 170, 195, 190, 170,
170, 185, 160, 170, 165,
185, 195, 185, 195, 200,
195, 185, 180, 185, 195],
name='Heights'
)
freq = heights.value_counts().sort_index()
freq_frame = freq.to_frame()
mean = heights.mean()
median = heights.median()
plt.bar(freq_frame.index,freq_frame['Heights'],
width=3,align='center')
plt.xlabel('Height (cm)')
plt.ylabel('Count')
plt.axvline(mean, color='r', linestyle='--')
plt.axvline(median, color='g', linestyle='--')
plt.show()
