Pandas: Time-series with two index labels and random values
Pandas Time Series: Exercise-5 with Solution
Write a Pandas program to create a time-series with two index labels and random values. Also print the type of the index.
Sample Solution:
Python Code :
import pandas as pd
import numpy as np
import datetime
from datetime import datetime, date
dates = [datetime(2011, 9, 1), datetime(2011, 9, 2)]
print("Time-series with two index labels:")
time_series = pd.Series(np.random.randn(2), dates)
print(time_series)
print("\nType of the index:")
print(type(time_series.index))
Sample Output:
Time-series with two index labels: 2011-09-01 -0.257567 2011-09-02 0.947341 dtype: float64 Type of the index: <class 'pandas.core.indexes.datetimes.DatetimeIndex'>
Python Code Editor:
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Previous: Write a Pandas program to print the day after and before a specified date. Also print the days between two given dates.
Next: Write a Pandas program to create a time-series from a given list of dates as strings.
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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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