January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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How to do it...
Execute the following steps to investigate and deal with missing values in the dataset.
- Import the libraries:
import pandas as pd import missingnofrom sklearn.impute import SimpleImputer
- Inspect the information about the DataFrame:
X.info()
Running the code results in the following table:
- Visualize the nullity of the DataFrame:
missingno.matrix(X)
Running the line of code results in the following plot:
The white bars visible in the columns represent missing values. The line on the right side of the plot describes the shape ...
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