本文介绍了 pandas -来自两列的直方图?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有以下数据:
data = pd.DataFrame().from_dict([r for r in response])
print data
_id total
0 213 1
1 194 3
2 205 156
...
现在,如果我打电话给我
Now, if I call:
data.hist()
我将获得两个独立的直方图,每列一个.这不是我想要的.我想要的是使用这两列创建的单个直方图,其中一列被解释为一个值,另一列被解释为该值的多次出现.我该怎么做才能生成这样的直方图?
I will get two separate histograms, one for each column. This is not what I want. What I want is a single histogram made using those two columns, where one column is interpreted as a value and another one as a number of occurrences of this value. What should I do to generate such a histogram?
我尝试过:
data.hist(column="_id", by="total")
但这会生成带有错误消息的更多(空)直方图.
But this generates even more (empty) histograms with error message.
推荐答案
您始终可以转到较低级别的 matplotlib.hist
:
You can always drop to the lower-level matplotlib.hist
:
from matplotlib.pyplot import hist
df = pd.DataFrame({
'_id': np.random.randn(100),
'total': 100 * np.random.rand()
})
hist(df._id, weights=df.total)
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