I have this list in Python:
我在Python中有这个列表:
[array([1, 2, 3]), array([3., 4., 5., 6., 7.]), array([7, 8])]
and I would like to export this to csv to look like this - each array on new line...
我想把它导出到csv看起来像这样 - 新行上的每个数组......
1, 2, 3
3., 4., 5., 6., 7.
7, 8
Each array has a different length.
每个阵列都有不同的长度。
I tried to use numpy.savetxt, numpy.vstack but these different lengths give me problems.
我尝试使用numpy.savetxt,numpy.vstack,但这些不同的长度给我带来了问题。
Can anyone help?
有人可以帮忙吗?
2 个解决方案
#1
3
You can also use:
您还可以使用:
import csv
import numpy as np
b = open('output.csv', 'w')
a = csv.writer(b)
data = [np.array([1, 2, 3]), np.array([3., 4., 5., 6., 7.]), np.array([7, 8])]
a.writerows(data)
b.close()
#2
3
Pandas module is particularly good for working with data that has missing values:
Pandas模块特别适合处理缺少值的数据:
import pandas as pd
arr = [[1, 2, 3], [3, 4], [5, 6, 7, 8]]
df = pd.DataFrame(arr)
print(df.to_csv(index=False, header=False))
Output:
'1,2,3.0,\n3,4,,\n5,6,7.0,8.0\n'
#1
3
You can also use:
您还可以使用:
import csv
import numpy as np
b = open('output.csv', 'w')
a = csv.writer(b)
data = [np.array([1, 2, 3]), np.array([3., 4., 5., 6., 7.]), np.array([7, 8])]
a.writerows(data)
b.close()
#2
3
Pandas module is particularly good for working with data that has missing values:
Pandas模块特别适合处理缺少值的数据:
import pandas as pd
arr = [[1, 2, 3], [3, 4], [5, 6, 7, 8]]
df = pd.DataFrame(arr)
print(df.to_csv(index=False, header=False))
Output:
'1,2,3.0,\n3,4,,\n5,6,7.0,8.0\n'