Pandas: Create a new DataFrame based on existing Series and override the existing columns names
Pandas Joining and merging DataFrame: Exercise-11 with Solution
Write a Pandas program to create a new DataFrame based on existing series, using specified argument and override the existing columns names.
Sample Solution:
Python Code :
import pandas as pd
s1 = pd.Series([0, 1, 2, 3], name='col1')
s2 = pd.Series([0, 1, 2, 3])
s3 = pd.Series([0, 1, 4, 5], name='col3')
df = pd.concat([s1, s2, s3], axis=1, keys=['column1', 'column2', 'column3'])
print(df)
Sample Output:
column1 column2 column3 0 0 0 0 1 1 1 1 2 2 2 4 3 3 3 5
Python Code Editor:
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Previous: Write a Pandas program to merge two given datasets using multiple join keys.
Next: Write a Pandas program to create a combination from two dataframes where a column id combination appears more than once in both dataframes.
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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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