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This article mainly introduces how to beautify the data of Pandas DataFrame. It is mainly realized through two methods in Pandas:
Styler.applymap: returns a single string with CSS attribute value pairs element by elementStyler.apply: returns Series or DataFrame wit ...
Posted by john0117 on Tue, 30 Nov 2021 07:01:12 -0800
Originally, I was going to go directly to the actual combat. Later, I thought, I'd better finish the necessary things first. Otherwise, many things in the actual combat will be confused and it will be troublesome to talk recursively.
This article is the last content explanation of pandas. The three connected together should be enough to deal w ...
Posted by Tonka1979 on Wed, 24 Nov 2021 14:35:49 -0800
Python - pandas module - Series data structure
Numpy is more suitable for dealing with unified numerical array data pandas is specially designed to handle tables and mixed data panda has two data structures:
The Series data type can store one-dimensional tag array of any type of data (integer, string, floa ...
Posted by davithedork on Tue, 23 Nov 2021 16:42:40 -0800
Zero, write in front
First of all, it is purely entertainment, and there are many loose places!!
Mankiw's macroeconomics mentioned an example when talking about the CPI (consumer price index), that is, avatar ranked first at the box office with us $761 million at that time, but after considering inflation, a ...
Posted by ixalmida on Tue, 23 Nov 2021 12:23:54 -0800
The core content of this article is data cleaning.
The steps of data work should be:
Data acquisitionData cleaningData analysisData visualization and modeling Therefore, in the last blog post, I said that the next blog post will talk about an important step in data analysis We should know that data cleaning is carried out for t ...
Posted by RClapham on Sun, 21 Nov 2021 11:56:13 -0800
Development environment: Python 3 Tools: pandas, matplotlib.pyplot
Data address: data set Data Description: a total of 28010 pieces of data occurred in one month were collected in this data set, Include the following: ['order number', 'total amount', 'buyer's actual payment amount', 'receiving address' ...
Posted by redgtsviper on Fri, 19 Nov 2021 23:18:42 -0800
There are two main methods of feature extraction, one is word bag model, and the other is TF-IDF Model( term frequency-inverse document frequency,Word frequency and reverse file frequency)
1. Word bag model
1.1 word bag and word set
There are two very important models for text feature extraction Word set model: a set of words. Naturally ...
Posted by JessePHP on Thu, 11 Nov 2021 16:09:32 -0800
pandas notes 007
7, Hierarchical index
import pandas as pd
import numpy as np
1. Hierarchical indexing
When creating a Series, use Index to specify the internal and external indexes. The first inner list is the outer Index, and the second inner list is the inner Index.
data = pd.Series(np.random.randn(9),
Posted by Poomerio on Sun, 31 Oct 2021 11:07:46 -0700
Here we discuss six mistakes that novices are prone to make. These mistakes have nothing to do with the API or syntax of the tools you use, but are directly related to your level of knowledge and experience. In practice, if these problems occur, there may not be any error prompt, but it will bring us great trouble in application.
Read large fi ...
Posted by ferronrsmith on Thu, 28 Oct 2021 17:41:11 -0700
pandas notes 004
4, Basic operations of Index object Index and Index
import pandas as pd
import numpy as np
1. Index object index
1.1 Series and DataFrame
Indexes in Series and DataFrame are Index objects.
pd1 = pd.Series(range(5),index = ['A','B','C','D','E']) #Create a Series index from the list and specify the index name ...