Python, Pandas : write content of DataFrame into text File

I have pandas DataFrame like this

        X    Y  Z    Value 
0      18   55  1      70   
1      18   55  2      67 
2      18   57  2      75     
3      18   58  1      35  
4      19   54  2      70   

I want to write this data to a text file that looks like this:

18 55 1 70   
18 55 2 67 
18 57 2 75     
18 58 1 35  
19 54 2 70 

I have tried something like

f = open(writePath, 'a')
f.writelines(['\n', str(data['X']), ' ', str(data['Y']), ' ', str(data['Z']), ' ', str(data['Value'])])
f.close()

but it's not working. How to do this?

Solution 1:

You can just use np.savetxt and access the np attribute .values:

np.savetxt(r'c:\data\np.txt', df.values, fmt='%d')

yields:

18 55 1 70
18 55 2 67
18 57 2 75
18 58 1 35
19 54 2 70

or to_csv:

df.to_csv(r'c:\data\pandas.txt', header=None, index=None, sep=' ', mode='a')

Note for np.savetxt you'd have to pass a filehandle that has been created with append mode.

Solution 2:

The native way to do this is to use df.to_string() :

with open(writePath, 'a') as f:
    dfAsString = df.to_string(header=False, index=False)
    f.write(dfAsString)

Will output the following

18 55 1 70   
18 55 2 67 
18 57 2 75     
18 58 1 35  
19 54 2 70 

This method also lets you easily choose which columns to print with the columns attribute, lets you keep the column, index labels if you wish, and has other attributes for spacing ect.

Solution 3:

You can use pandas.DataFrame.to_csv(), and setting both index and header to False:

In [97]: print df.to_csv(sep=' ', index=False, header=False)
18 55 1 70
18 55 2 67
18 57 2 75
18 58 1 35
19 54 2 70

pandas.DataFrame.to_csv can write to a file directly, for more info you can refer to the docs linked above.

Solution 4:

Late to the party: Try this>

base_filename = 'Values.txt'
with open(os.path.join(WorkingFolder, base_filename),'w') as outfile:
    df.to_string(outfile)
#Neatly allocate all columns and rows to a .txt file

Solution 5:

@AHegde - To get the tab delimited output use separator sep='\t'.

For df.to_csv:

df.to_csv(r'c:\data\pandas.txt', header=None, index=None, sep='\t', mode='a')

For np.savetxt:

np.savetxt(r'c:\data\np.txt', df.values, fmt='%d', delimiter='\t')