我想从 excel 中获取数据并在 python 中绘制二维核密度估计,但它显示“ValueError:要解压的值太多(预期为 2)”。如何解决?按照编码:
# libraries
import matplotlib.pyplot as plt
from scipy.stats import kde
import pandas as pd
# create data
x = pd.read_excel(r'C:\Users\Ezra\Desktop\montex.xlsx')
y = pd.read_excel(r'C:\Users\Ezra\Desktop\montey.xlsx')
# Evaluate a gaussian kde on a regular grid of nbins x nbins over data extents
nbins=500
k = kde.gaussian_kde([x,y])
xi, yi = pd.mgrid[x.min():x.max():nbins*100j, y.min():y.max():nbins*100j]
zi = k(pd.vstack([xi.flatten(), yi.flatten()]))
# Make the plot
plt.pcolormesh(xi, yi, zi.reshape(xi.shape), shading='auto')
plt.show()
# Change color palette
plt.pcolormesh(xi, yi, zi.reshape(xi.shape), shading='auto', cmap=plt.cm.Greens_r)
plt.show()
最佳答案
当您从代码中收到错误时,提出实际的回溯会有所帮助,尤其是指示示例代码的哪一行导致错误的部分。
当您调用一个返回多个值的函数时,您可以将它“解压”到单独的变量中。 ValueError: too many values to unpack (expected 2)
表示您调用了一个仅返回单个值的函数,但您试图将返回值解包为两个变量。
例如,考虑这个小的 python 脚本:
def returns_1_val():
return 'one'
def returns_2_vals():
return 'one', 'two'
print(returns_2_vals())
# Unpack the return value.
x,y = returns_2_vals()
print('x', x)
print('y', y)
print(returns_1_val())
# This next call fails. We're "expecting" Python to unpack 2 values into
# x and y, but it fails because the function only returned one value.
x,y = returns_1_val()
当你运行它时:
('one', 'two')
x one
y two
one
Traceback (most recent call last):
File "unpack_err.py", line 11, in <module>
x,y = returns_1_val()
ValueError: too many values to unpack (expected 2)
更一般的错误信息让它更清楚一点。例如,如果您尝试调用 x,y,z = return_2_vals()
,您将得到
ValueError: not enough values to unpack (expected 3, got 2)
关于python: ValueError: 从 excel 中解压(预期 2)数据的值太多,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/67458085/