Python 熊猫 - 两列的直方图？
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pandas - histogram from two columns?
提问by mnowotka
I have this data:
我有这个数据：
data = pd.DataFrame().from_dict([r for r in response])
print data
_id total
0 213 1
1 194 3
2 205 156
...
Now, if I call:
现在，如果我打电话：
data.hist()
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?
我会得到两个单独的直方图，每列一个。这不是我想要的。我想要的是使用这两列制作的单个直方图，其中一列被解释为一个值，另一列被解释为该值的出现次数。我应该怎么做才能生成这样的直方图？
I tried:
我试过：
data.hist(column="_id", by="total")
But this generates even more (empty) histograms with error message.
但这会生成更多（空）带有错误消息的直方图。
采纳答案by Ami Tavory
You can always drop to the lower-level matplotlib.hist:
您可以随时降到较低级别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)
回答by dermen
Since you already have the bin frequencies computed (the totalcolumn), just use pandas.DataFrame.plot
由于您已经计算了 bin 频率（total列），因此只需使用pandas.DataFrame.plot
data.plot( x='_id', y='total', kind='hist')
