Programmer Help

Hello, before modeling, what we must do is to traverse and construct the data, that is, data preprocessing. Today, I will introduce several methods commonly used by Pandas to call its built-in functions to traverse data. catalog: 0. Data preview 1. apply 2. applymap 3. map 4. agg 5. pipe 0. Data preview The data here are fictional ex ...

Author: Huan HaoSource: Hang Seng LIGHT cloud communityPandas is a Python software library, which provides a large number of functions and methods that enable us to process data quickly and easily. This paper will mainly introduce the practical data processing operation of pandas.Series of articles:[Pandas learning notes 01] powerful tool set f ...

Hello everyone, today I share 20 Python functions that are essential to daily work. These functions are not seen much, but they are very convenient to use. They can greatly improve work efficiency. The content is long, welcome to collect and learn, like praise and support, and there is a technical exchange group at the end of the article. Welco ...

Model building 1.1 characteristic works Missing value fill Missing values for category variables: fill in a missing value character (NA) and fill in with the most categoriesMissing values for continuous variables: fill in mean, median and mode # Fill in classification variables train['Cabin'] = train['Cabin'].fillna('NA') train['Embarked'] = ...

Point, knock on the blackboard First of all, this paper follows the traditional teaching, point to point! Only some functions or processing methods that are frequently used by individuals are introduced.The examples in this article are only used for demonstration. Generally, the examples do not modify the original data. If the code will modif ...

1, Pandas introduction In Python, pandas includes advanced data structures Series and DataFrame, which makes it very convenient, fast and simple to process data in Python. There are some incompatibilities between different versions of pandas. Therefore, we need to know which version of pandas we are using. import pandas as pd print(pd.__vers ...