Pandas DataFrame: Write a DataFrame to CSV file using tab separator
Pandas: DataFrame Exercise-27 with Solution
Write a Pandas program to write a DataFrame to CSV file using tab separator.
Sample data:
Original DataFrame
col1 col2 col3
0 1 4 7
1 4 5 8
2 3 6 9
3 4 7 0
4 5 8 1
Data from new_file.csv file:
col1\tcol2\tcol3
0 1\t4\t7
1 4\t5\t8
2 3\t6\t9
3 4\t7\t0
4 5\t8\t1
Sample Solution:
Python Code :
import pandas as pd
import numpy as np
d = {'col1': [1, 4, 3, 4, 5], 'col2': [4, 5, 6, 7, 8], 'col3': [7, 8, 9, 0, 1]}
df = pd.DataFrame(data=d)
print("Original DataFrame")
print(df)
print('Data from new_file.csv file:')
df.to_csv('new_file.csv', sep='\t', index=False)
new_df = pd.read_csv('new_file.csv')
print(new_df)
Sample Output:
Original DataFrame col1 col2 col3 0 1 4 7 1 4 5 8 2 3 6 9 3 4 7 0 4 5 8 1 Data from new_file.csv file: col1\tcol2\tcol3 0 1\t4\t7 1 4\t5\t8 2 3\t6\t9 3 4\t7\t0 4 5\t8\t1
Python-Pandas Code Editor:
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Python: Tips of the Day
Find current directory and file's directory:
To get the full path to the directory a Python file is contained in, write this in that file:
import os dir_path = os.path.dirname(os.path.realpath(__file__))
(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)
To get the current working directory use
import os cwd = os.getcwd()
Documentation references for the modules, constants and functions used above:
- The os and os.path modules.
- The __file__ constant
- os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
- os.path.dirname(path) (returns "the directory name of pathname path")
- os.getcwd() (returns "a string representing the current working directory")
- os.chdir(path) ("change the current working directory to path")
Ref: https://bit.ly/3fy0R6m
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