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Pandas: Create a time-series from a given list of dates as strings

Pandas Time Series: Exercise-6 with Solution

Write a Pandas program to create a time-series from a given list of dates as strings.

Sample Solution:

Python Code :

import pandas as pd
import numpy as np
import datetime
from datetime import datetime, date 
dates = ['2014-08-01','2014-08-02','2014-08-03','2014-08-04']
time_series = pd.Series(np.random.randn(4), dates)
print(time_series)

Sample Output:

2014-08-01    2.025858
2014-08-02    0.307073
2014-08-03   -0.903682
2014-08-04    0.056662
dtype: float64

Python Code Editor:


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Previous: Write a Pandas program to create a time-series with two index labels and random values. Also print the type of the index.
Next: Write a Pandas program to create a time series object that has time indexed data. Also select the dates of same year and select the dates between certain dates.

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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