Matplotlib has 25 pictures, which is a visual tool for data analysis. My girlfriend doesn't collect. She wants to break up with me
We often use Matplotlib and share it with you today 25 Matplotlib The compilation of graphs is the most useful in data analysis and visualization.
This list allows you to select the visualization objects to display using Python's Matplotlib and Seaborn libraries.
1. Association
Scatter chart bubble chart with bounda ...
Posted by phpdoodler on Wed, 08 Dec 2021 23:03:30 +0100
Seaborn can draw such a practical and beautiful chart in just a few lines of code
Little friends who have done visualization will often hear seaborn visualization, and there are many visualization libraries used by big guys. Today we'll take him and see how real he is. Here, in order to facilitate you to practice later, all display data can be downloaded from the official website. Like this article, like support, welcome to ...
Posted by Magwheel on Wed, 08 Dec 2021 09:36:27 +0100
Python topic 9: Advanced Application of common standard library jieba Library: common and unique
There are two text documents, which are extracted from the government work reports in 2019 and 2018. Now it is necessary to count the ten words that appear most frequently in the two files as subject words, and the words are required to be no less than 2 characters.
Output example: 2019: Reform: 10, enterprise: 9........, deepening: 2
Then, d ...
Posted by coderWil on Sun, 05 Dec 2021 04:16:56 +0100
There are 7 Python toolkits for time series prediction, and there is always one for you
Welcome to pay attention to me, IT industry, focus on Python!
Time series problem is one of the most difficult problems in data science. Traditional processing methods such as ARIMA and SARIMA are very good, but it is difficult to achieve satisfactory prediction results when dealing with nonlinear or non-stationary time series problems.
...
Posted by pelegk2 on Fri, 03 Dec 2021 22:55:19 +0100
Audio data analysis, PCA dimensionality reduction application example, TSNE dimensionality reduction, 3D drawing - python
The little teacher asked me to analyze the original data on the basis of the previously analyzed emotional data results. First, let me use PCA to reduce the dimension to see the data distribution, and then change TSNE to reduce the dimension.
It's really a small white wuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwuwu ...
Posted by ps2gamer on Fri, 03 Dec 2021 17:49:06 +0100
[data analysis and visualization] key points of data drawing 4 - problems of pie chart
Key points of data drawing 4 - problems of pie chart
This article lets us understand the most criticized chart type in history: pie chart.
Bad definition
A pie chart is a circle divided into several parts, each part representing a part of the whole. It is usually used to display percentages where the sum of sectors equals 100%. The problem i ...
Posted by chomps on Wed, 01 Dec 2021 14:36:56 +0100
servlet+idea+http+tomcat learning notes 02
How to redirect Common redirection methods include 301 redirect, 302 redirect and meta fresh. 301 redirect 301 stands for permanently moved. 301 redirection is the best way to change the address of a web page and be friendly to the search engine. It is recommended to use 301 for address transfer as long as it is not temporarily moved. 302 r ...
Posted by alimadzi on Sun, 28 Nov 2021 19:23:06 +0100
Data analysis practice - house price forecast, detailed explanation of code (kaggle competition)
The data set is referred to the following website:
House Prices - Advanced Regression Techniques | KagglePredict sales prices and practice feature engineering, RFs, and gradient boostinghttps://www.kaggle.com/c/house-prices-advanced-regression-techniques
preface:
This paper is divided into two periods, which is too long and inconvenient. T ...
Posted by dough boy on Sun, 28 Nov 2021 11:34:00 +0100
Interesting API introduction 1.0
1 Preface
Friends, it's a beautiful weekend again. Did you have a good time this week? Have you been praised? Have you figured out what to do for the weekend? Today, let's start with these questions and talk about the romance and sand sculpture happiness brought by data science.
2 two sand carving and interesting API s
Maybe after working ...
Posted by pushpendra.php on Sun, 28 Nov 2021 05:07:54 +0100
Understanding Pandas data consolidation is enough
Data merging is a necessary step in data processing. As a sharp tool for data analysis, pandas provides four common data merging methods. Let's see how to use these methods!
1.concat()
concat() can be used for inline or inline splicing in the row / column direction between two or more dataframes. The union of rows (along the y-axis) is taken ...
Posted by YourNameHere on Tue, 23 Nov 2021 21:32:35 +0100