pandas 类型错误：x 的预期一维向量
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TypeError: expected 1D vector for x
提问by grove park
I am getting the error:
我收到错误：
TypeError: expected 1D vector for x
类型错误：x 的预期一维向量
with regards to this line:
关于这一行：
coefficients = np.polyfit(x1, y1, 1)
系数 = np.polyfit(x1, y1, 1)
coefficients = np.polyfit(x1, y1, 1)
polynomial = np.poly1d(coefficients)
ys = polynomial(x1)
x1 & y1 are;
x1 & y1 是；
x = frame_query("select * from table",db)
y = frame_query("select * from table",db)
x1 = np.array(x)
y1 = np.array(y)
Consisting of 736 rows of data. I want to regress one row onto the other. Could someone help please?
由 736 行数据组成。我想将一行回归到另一行。有人可以帮忙吗？
Thanks.
谢谢。
回答by amd
You'll want to turn the data frame into a 1D array. First let me create a data frame
您需要将数据框转换为一维数组。首先让我创建一个数据框
import pandas
d = pandas.DataFrame([[1,2],[3,4],[5,6]],columns=['x1','y1'])
I think the following does what you want:
我认为以下做你想要的：
import numpy
x1 = numpy.array(d['x1'])
y1 = numpy.array(d['y1'])
numpy.polyfit(x1,y1,1)
I think the problem you are having is that the arrays you're creating have an additional dimension. For example, the arrays aand bbelow "look" just like x1and y1,
我认为您遇到的问题是您创建的数组有一个额外的维度。例如，数组a和b下面的“看起来”就像x1and y1，
a = numpy.array([[1,3,5]])
b = numpy.array([[2,4,6]])
but because of the double bracket ([[...]]) they are actually two-dimensional. I can reduce the dimension by selecting just the 0th column:
但由于双括号 ( [[...]]) 它们实际上是二维的。我可以通过只选择第 0 列来减少维度：
x1 = a[0,:]
y1 = b[0,:]
Then the polyfit will work. EDIT: if you look at the shape of the arrays (e.g. x1.shape) you should be able to tell if you have "extra dimensions."
然后 polyfit 将起作用。编辑：如果您查看数组的形状（例如x1.shape），您应该能够判断您是否有“额外的维度”。
回答by Marco
Try to make x1 and y1 np.array:
尝试制作 x1 和 y1 np.array：
x1 = np.array([45,34,12])
y1 = np.array([19,46,22])
