Difference between revisions of "Pandas parsing delimited file"

From UVOO Tech Wiki
Jump to navigation Jump to search
(Created page with " # No header space delimited ``` import pandas as pd df = pd.read_csv('virtualsevers.out', header=None, sep='\s+') df[0][0] for index, row in df.iterrows(): if row[3] != '0...")
 
 
Line 3: Line 3:
 
```
 
```
 
import pandas as pd
 
import pandas as pd
 +
from tabulate import tabulate
 
df = pd.read_csv('virtualsevers.out', header=None, sep='\s+')
 
df = pd.read_csv('virtualsevers.out', header=None, sep='\s+')
 
df[0][0]
 
df[0][0]
 +
print(tabulate(df, showindex=False, headers=df.columns))
  
 
for index, row in df.iterrows():
 
for index, row in df.iterrows():
   if row[3] != '0':
+
   if row[3] != '0' or row[4] != '0' or row[9] != '0':
 
     print(row[0])
 
     print(row[0])
 +
    print(tabulate([row]))
 +
    # pp.pprint(row.to_frame().T)
 
```
 
```

Latest revision as of 18:04, 6 August 2023

No header space delimited

import pandas as pd
from tabulate import tabulate
df = pd.read_csv('virtualsevers.out', header=None, sep='\s+')
df[0][0]
print(tabulate(df, showindex=False, headers=df.columns))

for index, row in df.iterrows():
  if row[3] != '0' or row[4] != '0' or row[9] != '0':
    print(row[0])
    print(tabulate([row]))
    # pp.pprint(row.to_frame().T)