我想用python计算多元线性回归.我发现这个代码用于简单的线性回归
import numpy as np
from matplotlib.pyplot import *
x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 3, 4, 4, 5])
n = np.max(x.shape)
X = np.vstack([np.ones(n), x]).T
a = np.linalg.lstsq(X, y)[0]
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所以,a是系数,但我看不出是什么[0]意思?
如何更改代码以获得多个线性回归?
我有几年的文件名为day00000.nc,day00001.nc,day00002.nc,... day00364.nc.它们代表365或366天.我想重命名我的文件,如day20070101.nc,day20070102.nc,... day20071231.nc我该怎么做?谢谢
我使用正交投影来绘制地图.我用这个程序:
from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt
import os, sys
from sys import argv
import pylab
from mpl_toolkits.basemap import Basemap, shiftgrid
from matplotlib import mpl
from matplotlib import rcParams
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import matplotlib.patches as patches
import matplotlib.path as path
import matplotlib.dates as dt
from numpy import linalg
import netCDF4
import time
import datetime as d
import sys
import math
from mpl_toolkits.axes_grid1 import make_axes_locatable
from pylab import *
nc …Run Code Online (Sandbox Code Playgroud) python projection matplotlib orthographic matplotlib-basemap