在Python语言中将.sav文件转换为.csv文件

Question

我想在Python中将*.sav文件的内容转换为*.csv文件。我已经编写了以下几行代码来访问*.sav文件中变量的详细信息。现在，我不清楚如何将访问的变量数据写入带有头文件的.csv文件

import scipy.io as spio
on2file = 'ON2_2015_112m_220415.sav'
on2data = spio.readsav(on2file, python_dict=True, verbose=True)

以下是我运行上述代码行时的结果：

IDL Save file is compressed
 -> expanding to /var/folders/z4/r3844ql123jgkq1ztdr4jxrm0000gn/T/tmpVE_Iz6.sav
--------------------------------------------------
Date: Mon Feb 15 20:41:02 2016
User: zhangy1
Host: augur
--------------------------------------------------
Format: 9
Architecture: x86_64
Operating System: linux
IDL Version: 7.0
--------------------------------------------------
Successfully read 11 records of which:
 - 7 are of type VARIABLE
 - 1 are of type TIMESTAMP
 - 1 are of type NOTICE
 - 1 are of type VERSION
--------------------------------------------------
Available variables:
 - saved_data [<class 'numpy.recarray'>]
 - on2_grid_smooth [<type 'numpy.ndarray'>]
 - d_lat [<type 'numpy.float32'>]
 - on2_grid [<type 'numpy.ndarray'>]
 - doy [<type 'str'>]
 - year [<type 'str'>]
 - d_lon [<type 'numpy.float32'>]
--------------------------------------------------

有没有人能给我提个建议，告诉我如何把所有的变量数据写到一个.csv文件中？

我想要将变量(year，doy，d_lon，d_lat，on2_grid，on2_grid_smooth)写入CSV或ASCII文件，其格式如下：

longitude, latitude, on2_grid, on2_grid_smooth   # header 
0.0,0.0,0.0,0.0              
0.0,0.0,0.0,0.0 
0.0,0.0,0.0,0.0 
0.0,0.0,0.0,0.0
..... 

"on2_grid“和"on2_grid_smooth”变量的形状是相同的，并且是(101，202)。两者都属于"numpy.ndarray“类型。

Answer 1

我可以通过更改必要的输出格式来解决我的问题，下面是我的代码：

import scipy.io as spio
import numpy as np
import csv

on2file = 'ON2_2016_112m_220415.sav'   # i/p file
outfile = 'ON2_2016_112m_220415.csv'   # o/p file

# Read i/p file
s = spio.readsav(on2file, python_dict=True, verbose=True)

# Creating Grid
#d_lat = s["d_lat"]
#d_lon = s["d_lon"]
lat = np.arange(-90,90,1.78218)  # (101,)
lon = np.arange(-180,180,1.78218)     # (202,)
ylat,xlon = np.meshgrid(lat,lon)

on2grid = np.asarray(s["on2_grid"])
on2gridsmooth = np.asarray(s["on2_grid_smooth"])

nrows = len(on2grid)
ncols = len(on2grid[0])

xlon_grid = xlon.reshape(nrows*ncols,1)
ylat_grid = ylat.reshape(nrows*ncols,1)
on2grid_new = on2grid.reshape(nrows*ncols,1)
on2gridsmooth_new = on2gridsmooth.reshape(nrows*ncols,1)

# Concatenation
allgriddata = np.concatenate((xlon_grid, ylat_grid, on2grid_new, on2gridsmooth_new),axis=1)

# Writing o/p file
f_handle = file(outfile,'a')
np.savetxt(f_handle,allgriddata,delimiter=",",fmt='%0.3f',header="longitude, latitude, on2_grid, on2_grid_smooth")
f_handle.close()

Answer 2

无论如何，您可以使用pandas非常轻松地将SPSS文件导入到Python中

import pandas as pd
df = pd.read_spss("input_file.sav")

然后您可以使用.to_csv()方法导出数据：

df.to_csv("output_file.csv", index=False)

如果只需要导出某些列，也可以指定：

df[["column_a", "column_b"]].to_csv("output_file.csv", index=False)

Answer 3

使用您的代码提取的文件中的经纬度列看起来是互换的。此外，纬度范围从0到180 (不是+90 0 -90)) ...whether 0从顶部开始。Pl。评论。