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This article is the 29th article of this column, and I will continue to share python data analysis knowledge later, remember to pay attention.
Students who have done data analysis know that pandas is an open source data analysis tool, which is widely used in data cleaning, data processing, data analysis and other related fields. With the increasing amount of data in the industry, some limitations of pandas have also begun to emerge, especially when dealing with big data business, the effect is very obvious.
And pandas2.0 is the latest version of pandas, and its update also brings some very important improvements and new functions. For students in the direction of data analysis and data science, it is definitely worth a try.
Next, follow the author directly to see "What are the new features brought by pandas2.0".
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The new features and optimizations of version 2.0 generally include the following aspects
1. Specify the data type of the column
For pandas2.0, typed columns are introduced, allowing users to better manage data types, thereby improving the efficiency of data processing. With the arrival of version 2.0, users can specify the data type of each column when creating a data frame, which makes the type of data frame clearer.
The sample code is as follows:
import pandas as pd
import numpy as np
# 创建一个带有类型化列的数据帧
df = pd.DataFrame({
'A': pd.Series(np.random.randn(5), dtype=&#