用数字行替换数据帧标题

Question

我有一个像这样的pandas数据框：

                   X             Y          Z     Value
0       6.196133e+06  2.321880e+06   1356.439      0.01
1       6.196155e+06  2.321867e+06   1347.363      0.01
2       6.196176e+06  2.321854e+06   1338.229      0.01
3       6.196197e+06  2.321841e+06   1332.272      0.01
4       6.196218e+06  2.321828e+06   1326.691      0.01

如何在没有行索引的情况下将数据写入.csv（或.txt）文件，以便列以制表符（或空格）分隔，并且标题显示如下：

title = "dataset test"
variables = "X", "Y", "Z", "Value"
zone t = "Data Field",i = 134, j = 293, k = 5, f=point
6.196133e+06  2.321880e+06   1356.439      0.01
6.196155e+06  2.321867e+06   1347.363      0.01
6.196176e+06  2.321854e+06   1338.229      0.01
6.196197e+06  2.321841e+06   1332.272      0.01
6.196218e+06  2.321828e+06   1326.691      0.01

仅供参考：标题是Tecplot软件标题。

Answer 1

准备你的输入：

import pandas as pd
import os

os.chdir('Directory to save to')

df = pd.DataFrame([[6.196133e+06,2.321880e+06,1356.439,0.01],
                    [6.196155e+06,2.321867e+06,1347.363,0.01],
                    [6.196176e+06,2.321854e+06,1338.229,0.01],
                    [6.196197e+06,2.321841e+06,1332.272,0.01],
                    [6.196218e+06,2.321828e+06,1326.691,0.01]],columns = ['X','Y','Z','Value'])

info = pd.DataFrame([['title = "dataset test"'],
                    ['variables = ' + str(df.columns.tolist())],
                    ['zone t = "Data Field", i = 134, j = 293, k = 5, f=point']])

要保存到Excel文件：

writer = pd.ExcelWriter('out.xlsx', engine='openpyxl')

info.to_excel(writer, sheet_name='Output', header=None, index=False, startcol=0,startrow=0)
df.to_excel(writer, sheet_name='Output', header=None, index=False, startcol=0,startrow=3)

writer.save()

要保存到CSV文件：

with open('out.csv', 'w') as myfile:
    info.to_csv(myfile, header=None, index=False, sep=' ')
    df.to_csv(myfile, header=None, index=False, sep=' ')

Answer 2

（我没有亲自测试过，所以可能需要一些调整;-)）根据熊猫文档，这样的事情应该有效：https://pandas.pydata.org/pandas-docs/stable/io.html#io-store-in-csv

filename = 'output.csv'
with open(filename, 'w') as fid:
    # write the Tecplot header
    fid.write('title = "dataset test"')
    fid.write('variables = [{0}]'.format(df.columns))
    fid.write('zone t = "Data Field",i = 134, j = 293, k = 5, f=point')
# write the data
df.to_csv(filename, '\t', columns=df.columns, header=False, index=False, mode='w+')