python往一个数列里批量添加数列

可以使用extend()方法批量添加数列，如下所示：

a = [1, 2, 3]
b = [4, 5, 6]
c = [7, 8, 9]

a.extend(b)
a.extend(c)

print(a)  # 输出结果为 [1, 2, 3, 4, 5, 6, 7, 8, 9]

在这个例子中，使用extend()方法将数列b和数列c都添加到了数列a中。注意，extend()方法会修改原有的数列，而不是创建一个新的数列。

相关问题

python循环读取数据文件

要使用Python循环读取数据文件，可以使用以下代码作为参考：

import netCDF4 as nc
import numpy as np
from os import listdir
from os.path import join

data = np.zeros((5, 12, 94, 192))  # 建立年份*月份*纬向格点数*经向格点数的数列
path = r'E:'  # nc文件存放文件夹
a = 0

for filename in listdir(path):  # 读取nc文件
    file = join(path, filename)
    nc_obj = nc.Dataset(file)
    x = nc_obj.variables\['dlwrf'\]\[:\]  # dlwrf为nc文件中的变量名
    nc_obj.close()

    # 计算月平均值
    num = 0
    for m in range(12):
        if m in \[1, 3, 5, 7, 8, 10, 12\]:
            mnum = 31
        elif m == 2:
            if (a + 1979) % 4 == 0 and (a + 1979) % 100 != 0:
                mnum = 29
            else:
                mnum = 28
        else:
            mnum = 30

        for i in range(94):
            for j in range(192):
                data\[a, m, i, j\] = sum(x\[num:num + mnum, i, j\]) / mnum

        num = num + mnum
    a = a + 1

# 将月平均值按年份、月份、纬度、经度的顺序存放至dat文件中
with open(r'ulwrf.dat', 'w') as fp:
    for n in range(39):
        for m in range(12):
            for i in range(94):
                for j in range(192):
                    fp.write(str(data\[n, m, i, j\]) + ' ')

这段代码使用了netCDF4库来读取nc文件，通过循环遍历文件夹中的每个文件，读取其中的变量数据，并计算月平均值。最后，将结果按照指定的顺序存储到dat文件中。请注意，代码中的路径和变量名可能需要根据实际情况进行修改。\[1\]
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