Kaggle

Introduction 介绍 Oftentimes data will come to us with column names, index names, or other naming conventions that we are not satisfied with. In that case, you’ll learn how to use pandas functions to change the names of the offending entries to something better. 通常，数据会带有我们不满意的列名、索引名或其他命名约定。 在这种情况下，您将学习如何使用 pandas 函数将有问题的条目的名称更改为更好的名称。 You’ll also explore how to combine data […]

This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction 介绍 Run the following cell to load your data and some utility functions. 运行以下单元格来加载数据和一些实用函数。 import pandas as pd reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv", index_col=0) from learntools.core import binder; binder.bind(globals()) from learntools.pandas.data_types_and_missing_data import * print("Setup complete.") Setup complete. Exercises 练习 […]

Introduction 介绍 In this tutorial, you’ll learn how to investigate data types within a DataFrame or Series. You’ll also learn how to find and replace entries. 在本教程中，您将学习如何研究 DataFrame 或 Series 中的数据类型。 您还将学习如何查找和替换条目。 To start the exercise for this topic, please click here. 要开始本主题的练习，请单击此处。 Dtypes 数据类型 The data type for a column in a DataFrame or […]

This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction 介绍 In these exercises we’ll apply groupwise analysis to our dataset. 在这些练习中，我们将对数据集应用分组分析。 Run the code cell below to load the data before running the exercises. 在运行练习之前，运行下面的代码单元以加载数据。 import pandas as pd reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv", index_col=0) pd.set_option("display.max_rows", 5) from […]

Introduction 介绍 Maps allow us to transform data in a DataFrame or Series one value at a time for an entire column. However, often we want to group our data, and then do something specific to the group the data is in. 映射允许我们将 DataFrame 或 Series 中的数据一次转换一整列的值。 但是，我们通常希望对数据进行分组，然后针对数据所在的组执行特定的操作。 As you’ll learn, we do this with […]

This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction 介绍 Now you are ready to get a deeper understanding of your data. 现在您已准备好更深入地了解您的数据。 Run the following cell to load your data and some utility functions (including code to check your answers). 运行以下单元格来加载您的数据和一些实用函数（包括用于检查答案的代码）。 import pandas as pd […]

Introduction 介绍 In the last tutorial, we learned how to select relevant data out of a DataFrame or Series. Plucking the right data out of our data representation is critical to getting work done, as we demonstrated in the exercises. 在上一个教程中，我们学习了如何从 DataFrame 或 Series 中选择相关数据。 正如我们在练习中所演示的那样，从数据表示中提取正确的数据对于完成工作至关重要。 However, the data does not always come out of […]

This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction In this set of exercises we will work with the Wine Reviews dataset. 介绍 在这组练习中，我们将使用葡萄酒评论数据集。 Run the following cell to load your data and some utility functions (including code to check your answers). 运行以下单元格来加载您的数据和一些实用函数（包括用于检查答案的代码）。 import pandas as […]

Introduction 介绍 Selecting specific values of a pandas DataFrame or Series to work on is an implicit step in almost any data operation you’ll run, so one of the first things you need to learn in working with data in Python is how to go about selecting the data points relevant to you quickly and […]

This notebook is an exercise in the Pandas course. You can reference the tutorial at this link. Introduction 介绍 The first step in most data analytics projects is reading the data file. In this exercise, you’ll create Series and DataFrame objects, both by hand and by reading data files. 大多数数据分析项目的第一步是读取数据文件。 在本练习中，您将手动或通过读取数据文件来创建 Series 和 DataFrame 对象。 […]