在python中创建两个csv文件的笛卡尔乘积(交叉联接) [英] Create the cartesian product (cross join) of two csv files in python
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问题描述
我试图通过交叉连接两个现有的csv文件来创建一个新的csv文件.
I tried to create a new csv file by cross joining two existing csv files.
csv文件#1:
hour Elevation Azimuth x y z sunx suny sunz
06:29:00 -0.833 67.72 0.379094033 0.925243946 -0.014538068 0.379094033 0.925243946 -0.014538068
07:00:00 6.28 68.75 0.360264063 0.92641472 0.109387255 0.360264063 0.92641472 0.109387255
csv文件#2:
ID SURFACES A1X A1Y A1Z A2X A2Y A2Z B1X B1Y B1Z B2X B2Y B2Z AX AY AZ BX BY BZ ABX ABY ABZ planex planey planez
1 GROUND 800085.3323 961271.977 -3.07E-18 800080.8795 961246.1978 -3.07E-18 800097.1572 961269.9344 -3.07E-18 800085.3323 961271.977 -3.07E-18 4.4528 25.7792 0.00E+00 11.8249 -2.0426 0.00E+00 0 0 -313.9317514 0 0 -1
2 ROOF 800019.3994 961242.7732 12 800021.442 961254.5981 12 800090.3488 961230.5181 12 800019.3994 961242.7732 12 -2.0426 -11.8249 0.00E+00 70.9494 -12.2551 0.00E+00 0 0 864.0018273 0
我想要文件的笛卡尔积(每个小时都有所有曲面,就像执行SQL交叉联接一样.)
I want the cartesian product of the files (each hour with all surfaces, just like performing a SQL cross join).
我要问的一个例子:
http://dotnetslackers.com/images/articleimages/sqljoins5.jpg
推荐答案
我不知道任何现成的解决方案,所以我做到了:
I don't know of any out-of-the-box solution, so I made this:
import csv
from itertools import product
def main():
with open('file1.csv', 'rb') as f1, open('file2.csv', 'rb') as f2:
reader1 = csv.reader(f1, dialect=csv.excel_tab)
reader2 = csv.reader(f2, dialect=csv.excel_tab)
# Step 1: Read and write the headers separately.
header1, header2 = next(reader1), next(reader2)
with open('output.csv', 'wb') as out:
writer = csv.writer(out, dialect=csv.excel_tab)
writer.writerow(header1 + header2)
# Step 2: Write the product of the rest of the rows.
writer.writerows(
row1 + row2 for row1, row2 in product(reader1, reader2))
main()
带有文件:
With files:
file1.csv
file1.csv
hour Elevation Azimuth
06:29:00 -0.833 67.72
07:00:00 6.28 68.75
file2.csv
file2.csv
ID SURFACES
1 GROUND
2 ROOF
您将获得以下 output.csv
:
hour Elevation Azimuth ID SURFACES
06:29:00 -0.833 67.72 1 GROUND
06:29:00 -0.833 67.72 2 ROOF
07:00:00 6.28 68.75 1 GROUND
07:00:00 6.28 68.75 2 ROOF
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