I have output that looks like this
AB%CD3_SW3Z_1000 uvsec_czrkup_rmplr SeightRveZargrp def_move 35.8% 28.0% 16.2% 120 0.0010
MN%P03_AT%W00_500 uvsec_czrkup_rmplr SeightRveZargrp def_move 28.8% 24.7% 23.4% 94 0.1000
KE_A03_UVA%Q00_100 uvsec_czrkup_rmplr SeightRveZargrp def_move 27.2% 11.8% 3.5% 398 0.010
What is the cleanest, most elegant way to format it as
AB%CD3_SW3Z_1000 uvsec_czrkup_rmplr SeightRveZargrp def_move 35.8% 28.0% 16.2% 120 0.0010
MN%P03_AT%W00_500 uvsec_czrkup_rmplr SeightRveZargrp def_move 28.8% 24.7% 23.4% 94 0.1000
KE_A03_UVA%Q00_100 uvsec_czrkup_rmplr SeightRveZargrp def_move 27.2% 11.8% 3.5% 398 0.010
Of course, I am asking in general case, assuming each line has the same number of tokens. I want columns to be left-alligned.
I have used PrettyTables for this type of application in the past and this function:
def format_df(df):
table = PrettyTable([''] + list(df.columns))
for row in df.itertuples():
table.add_row(row)
return str(table)
A full example, using your input looks like this:
import pandas as pd
from prettytable import PrettyTable
def format_df(df):
table = PrettyTable([''] + list(df.columns))
for row in df.itertuples():
table.add_row(row)
return str(table)
df = pd.read_clipboard(header=None) # No header provided on example input
print(format_df(df))
This generates the following output. The headers are named poorly because there were not headers provided in your sample data:
+---+--------------------+--------------------+-----------------+----------+-------+-------+-------+-----+-------+
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
+---+--------------------+--------------------+-----------------+----------+-------+-------+-------+-----+-------+
| 0 | AB%CD3_SW3Z_1000 | uvsec_czrkup_rmplr | SeightRveZargrp | def_move | 35.8% | 28.0% | 16.2% | 120 | 0.001 |
| 1 | MN%P03_AT%W00_500 | uvsec_czrkup_rmplr | SeightRveZargrp | def_move | 28.8% | 24.7% | 23.4% | 94 | 0.1 |
| 2 | KE_A03_UVA%Q00_100 | uvsec_czrkup_rmplr | SeightRveZargrp | def_move | 27.2% | 11.8% | 3.5% | 398 | 0.01 |
+---+--------------------+--------------------+-----------------+----------+-------+-------+-------+-----+-------+