Wie ein ganzen Pandas Datenrahmen in Textdatei

Question

Hier sparen mein Code mehr Pandas Datenrahmen mit einer Beschreibung in eine Textdatei zu speichern:

import numy as np 
    import pandas as pd 
    rows=['row1','row2','row3', 'row4'] 
    data=np.random.randn(18, 4,3) 
    with open(filename, "wb") as outfile: 
     house_num = 0 
     outfile.write(('Shape of house Array: {0} \n'.format(data.shape)).encode()) 
     for data_slice in data: 
      outfile.write(('@ House: {0} \n'.format(house_num)).encode()) 
      df=pd.DataFrame(data_slice,columns=list('XYZ'),dtype=float) 
      df=df.rename(index={j:k for k, j in zip(rows,range(0,4))}) 
      text=df.to_string() 
      np.savetxt(filename, text) 
      house_num+=1 

in der letzten Zeile, bekomme ich einen Fehler IndexError: tuple index out of range

ich möchte eine Textdatei wie diese Formatierung erhalten:

Shape of house Array: (18,4,3) 
house: 0 
      X   Y   Z 
row1 1.376328 0.620332 -0.726298 
row2 -0.671292 0.557585 -0.027483 
row3 0.381491 1.798442 0.221806 
row4 -0.223592 -0.297638 -0.258627 
house: 1 
      X   Y   Z 
row1 1.376328 0.620332 -0.726298 
row2 -0.671292 0.557585 -0.027483 
row3 0.381491 1.798442 0.221806 
row4 -0.223592 -0.297638 -0.258627 
.... 

house: 18 
      X   Y   Z 
row1 1.376328 0.620332 -0.726298 
row2 -0.671292 0.557585 -0.027483 
row3 0.381491 1.798442 0.221806 
row4 -0.223592 -0.297638 -0.258627 

Answer 1

Verwenden to_csv mit dem sep='\t' Attribut.

df.to_csv('example.txt', sep='\t') 

Answer 2

import numpy as np 
import pandas as pd 
rows=['row1','row2','row3', 'row4'] 
data=np.random.randn(3, 4,3) 
with open(filename, "wb") as outfile: 
    house_num = 0 
    outfile.write(('Shape of house Array: {0} \n'.format(data.shape)).encode()) 
    for data_slice in data: 
     outfile.write(('@ House: {0} \n'.format(house_num)).encode()) 
     df=pd.DataFrame(data_slice,columns=list('XYZ'),dtype=float) 
     df=df.rename(index={j:k for k, j in zip(rows,range(0,4))}) 
     text=df.to_string() 
     #np.savetxt(filename, text) 
     outfile.write(text.encode()) 
     outfile.write(("\n").encode()) 
     house_num+=1 

Ausgabetextdatei:

Shape of house Array: (3, 4, 3)  
@ House: 0 
      X   Y   Z 
row1 2.839710 -0.577583 0.763323 
row2 -0.419653 0.700541 0.169561 
row3 -0.368513 1.255395 -0.790997 
row4 0.731944 -3.038690 -2.134272 
@ House: 1 
      X   Y   Z 
row1 0.464832 0.207018 1.067246 
row2 -0.216544 -0.141985 -1.895549 
row3 -1.116220 0.887194 1.139350 
row4 1.010944 -0.271821 -0.222212 
@ House: 2 
      X   Y   Z 
row1 -0.768003 -0.308128 -1.613605 
row2 0.144122 -0.024041 -0.495055 
row3 0.004526 -1.789065 -1.286156 
row4 1.310501 -0.821195 1.006570