Pandas: Remove infinite values from a given DataFrame
Pandas: DataFrame Exercise-52 with Solution
Write a Pandas program to remove infinite values from a given DataFrame.
Sample Solution :
Python Code :
import pandas as pd
import numpy as np
df = pd.DataFrame([1000, 2000, 3000, -4000, np.inf, -np.inf])
print("Original DataFrame:")
print(df)
print("Removing infinite values:")
df = df.replace([np.inf, -np.inf], np.nan)
print(df)
Sample Output:
Original DataFrame: 0 0 1000.000000 1 2000.000000 2 3000.000000 3 -4000.000000 4 inf 5 -inf Removing infinite values: 0 0 1000.0 1 2000.0 2 3000.0 3 -4000.0 4 NaN 5 NaN
Python-Pandas Code Editor:
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Previous: Write a Pandas program to convert the datatype of a given column(floats to ints).
Next: Write a Pandas program to insert a given column at a specific column index in a DataFrame.
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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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