Pandas 数据框作为 matplotlib.pyplot.boxplot 的输入
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Pandas dataframe as input for matplotlib.pyplot.boxplot
提问by TheChymera
I have a pandas dataframe which looks like this:
我有一个看起来像这样的Pandas数据框：
[('1975801_m', 1 0.203244
10 -0.159756
16 -0.172756
19 -0.089756
20 -0.033756
23 -0.011756
24 0.177244
32 0.138244
35 -0.104756
36 0.157244
40 0.108244
41 0.032244
42 0.063244
45 0.362244
59 -0.093756
62 -0.070756
65 -0.030756
66 -0.100756
73 -0.140756
77 -0.110756
81 -0.100756
84 -0.090756
86 -0.180756
87 0.119244
88 0.709244
102 -0.030756
105 -0.000756
107 -0.010756
109 0.039244
111 0.059244
Name: RTdiff), ('3878418_m', 1637 0.13811
1638 -0.21489
1644 -0.15989
1657 -0.11189
1662 -0.03289
1666 -0.09489
1669 0.03411
1675 -0.00489
1676 0.03511
1677 0.39711
1678 -0.02289
1679 -0.05489
1681 -0.01989
1691 0.14411
1697 -0.10589
1699 0.09411
1705 0.01411
1711 -0.12589
1713 0.04411
1715 0.04411
1716 0.01411
1731 0.06411
1738 -0.25589
1741 -0.21589
1745 0.39411
1746 -0.13589
1747 -0.10589
1748 0.08411
Name: RTdiff)
I would like to use it as input for the mtplotlib.pyplot.boxplot function.
我想将它用作 mtplotlib.pyplot.boxplot 函数的输入。
the error I get from matplotlib.pyplot.boxplot(mydataframe)is ValueError: cannot set an array element with a sequence
我得到的错误matplotlib.pyplot.boxplot(mydataframe)是ValueError: cannot set an array element with a sequence
I tried to use list(mydataframe)instead of mydataframe. That fails with the same error.
我尝试使用list(mydataframe)而不是mydataframe. 失败并出现相同的错误。
I also tried matplotlib.pyplot.boxplot(np.fromiter(mydataframe, np.float))- that fails with ValueError: setting an array element with a sequence.
我也试过matplotlib.pyplot.boxplot(np.fromiter(mydataframe, np.float))- 失败了ValueError: setting an array element with a sequence.
回答by Paul H
It's not clear that your data are in a DataFrame. It appears to be a list of Series objects.
不清楚您的数据是否在 DataFrame 中。它似乎是一个系列对象列表。
Once it's really in a DataFrame, the trick here is the create your figure and axes ahead of time and use the **kwargsthat you would normally use with matplotlib.axes.boxplot. You also need to make sure that your data is a DataFrame and not a Series
一旦它真的在 DataFrame 中，这里的技巧就是提前创建图形和轴，并使用**kwargs通常与matplotlib.axes.boxplot. 您还需要确保您的数据是 DataFrame 而不是系列
import numpy as np
import matplotlib.pyplot as plt
import pandas
fig, ax = plt.subplots()
df = pandas.DataFrame(np.random.normal(size=(37,5)), columns=list('ABCDE'))
df.boxplot(ax=ax, positions=[2,3,4,6,8], notch=True, bootstrap=5000)
ax.set_xticks(range(10))
ax.set_xticklabels(range(10))
plt.show()
Which gives me:
这给了我：
Failing that, you can take a similar approach, looping through the columns you would like to plot using your axobject directly.
如果做不到这一点，您可以采用类似的方法，ax直接使用对象遍历要绘制的列。
import numpy as np
import matplotlib.pyplot as plt
import pandas
df = pandas.DataFrame(np.random.normal(size=(37,5)), columns=list('ABCDE'))
fig, ax = plt.subplots()
for n, col in enumerate(df.columns):
ax.boxplot(df[col], positions=[n+1], notch=True)
ax.set_xticks(range(10))
ax.set_xticklabels(range(10))
plt.show()
Which gives:
这使：
