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Two dimensional data, Series container, with both row index and column index     1. Create DataFrame 1.1 create DataFrame through list You need to specify data, index row and columns Specify that data and index/columns are of type list or NP arange df1 = pd.DataFrame(data=[[1, 2, 3], [11, 12, 13]], index=['r_1', 'r_2'], colum ...

Continue to share dry goods in Excel, MySQL and Python. Poke the official account link stamp. The beauty of data analysis and statistics Pay attention to this official account with a little bit of things. You can also obtain four original documents: Python automation office manual, Excel PivotTable complete manual, python basic query manual and ...

preface I've previously posted a film about using reptile technology from Article on obtaining stock data on NetEase Finance , the response is quite strong. However, that work can only be said to be an epitome of my early learning of reptiles and quantification. What I want to share with you now is very Dry goods. Basically, it can be sa ...

Author: Han Xinzi@ShowMeAITutorial address: http://www.showmeai.tech/tutorials/33Article address: http://www.showmeai.tech/article-detail/146Notice: All Rights Reserved. Please contact the platform and the author for reprint and indicate the sourceWhen we mention python data analysis, pandas will be used for operation in most cases. This is the ...

Good morning, everyone. My name is Wu. If you think the article is well written, you can also call me Mr. Wu. Welcome to join me in the world of data analysis and learning! Interested friends can follow me Data Analysis Column There are many good articles to share with you. Front End Time encountered a problem while working - how to copy ...

brief introduction This article will explain the basic data types Series and DataFrame in Pandas, and explain in detail the creation, indexing and other basic behaviors of these two types. To use Pandas, you need to reference the following lib: In [1]: import numpy as np In [2]: import pandas as pd Series Series is a one-dimensional ...

brief introduction Pandas provides many powerful functions of merging Series and Dataframe, which can facilitate data analysis. This article will explain in detail how to use pandas to merge Series and Dataframe. Using concat The most commonly used method is DF concat. Let's look at the following: pd.concat(objs, axis=0, join='outer', i ...

1, Narration (beginning of story) The other day, my sister asked me to go out secretly and asked me to see a movie emmm.... It's nothing. Let's go. Hey, hey ~ Go?? I regretted going there. I found a park and sat watching movies on my mobile phone Feeding mosquitoes, sweating, watching boring movies, the key is that she doesn't let me idle, ...

44_Pandas converts classified variables into dummy variables (get_dummies) To convert categorical variables (categorical data, qualitative data) into virtual variables in pandas, use pandas get_ Dummies() function. Data such as gender classified by string can be converted into 0 for men and 1 for women, and multi class features can be convert ...

Article catalog 1. Learning objectives 2. Operation explanation 3. Job results 1. Learning objectives Understand simple and logarithmic returnsCalculate the return on investment for different stocks through Pandas and NumPyCalculate the return of the portfolio by linear summation 2. Operation explanation Starting from this task, we wi ...