对于df中的每一行，将N-1列保存到新行中，将第N列保存到另一行中（熊猫）

Question

I have a very big dataframe and I am looking for an efficient way to store it as a formated text file as shown bellow.

Consider the following example dataframe:

In [2]: df
Out[2]: 

     id    etc      data
0    12    info12   text12
1    34    info34   text34


desired output in txt: 
      # 12 info12
      text12
      # 34 info34
      text34

Is there a quick way to do this and avoid multiple inefficient for conditions?

Answer 1

pandas has a built in method for this.

it look like this:

# some large dataframe
df = pd.DataFrame([[1,1,1],[2,2,2],[3,3,3]],columns=['a','b','c'])

# save as a csv file
df.to_csv('file_name.csv')

...that is all you need.