These charts are grouped according to seven different scenarios of visualization objectives. Important features of valid charts:
Convey correct and necessary information without distorting the facts.The design is simple and you don't have to work too hard to understand it.Support information from an aesthetic point of view rathe ...
Posted on Sun, 05 Dec 2021 13:44:30 -0500 by kutatishh
1, Scatter plot: scatterplot
x，yarray, str, series, input variables. The string should be the corresponding variable name in data. Using series will display the name on the axis.dataReceives a DataFrame representing the dataset used for drawing.hueReceive the variable name in data and pass in ...
Posted on Fri, 03 Dec 2021 02:08:24 -0500 by dotbands
Hello, before modeling, what we must do is to traverse and construct the data, that is, data preprocessing. Today, I will introduce several methods commonly used by Pandas to call its built-in functions to traverse data.
0. Data preview 1. apply 2. applymap 3. map 4. agg 5. pipe
0. Data preview
The data here are fictional ex ...
Posted on Fri, 03 Dec 2021 00:33:23 -0500 by w.geoghegan
This is a note from October 7, 2018. At that time, a batch of amoA genes of soil ammonia oxidizing bacteria (AOA/AOB) were cloned and sequenced, and the sequencing results need to be identified in batch. In order to save time, I taught myself about the local comparison of blast. At that time, I also used the blast-2.7.1 + version. Now download ...
E-commerce User Behavior Analysis
1. Project Background
With Taobao app platform as the data set, the user behavior of Taobao is analyzed through industry indicators to explore the behavior mode of Taobao users. Specific indicators include: daily PV and daily UV analysis, payment rate analysis, re-purchase behavior analysis, funnel loss analy ...
Posted on Mon, 29 Nov 2021 17:20:25 -0500 by wutanggrenade
2021.11.20 New pit!!!
This article includes content: 2 chapters Preparatory knowledge: 2.1 Mathematical operations, 2.2 Data preprocessing, 2.3 linear algebra
2 Preparatory knowledge
2.1 Data operations
2.1.1 Getting Started
Creating torch-type data
x = torch.arange(12)
tensor([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, ...
Posted on Sun, 28 Nov 2021 21:53:59 -0500 by LMarie
Python is one of the most popular languages. Many people use it in data science and machine learning, Web development, scripting, automation and other fields.
This popularity is partly due to its simplicity and ease of learning.
In this article, I will introduce you to 30 short and practical Python techniques. There are many contents. It is r ...
Posted on Sat, 27 Nov 2021 22:26:06 -0500 by saeed42
Author: Huan HaoSource: Hang Seng LIGHT cloud communityPandas is a Python software library, which provides a large number of functions and methods that enable us to process data quickly and easily. This paper will mainly introduce the practical data processing operation of pandas.Series of articles:[Pandas learning notes 01] powerful tool set f ...
Posted on Fri, 26 Nov 2021 10:15:00 -0500 by throx
1. Overview of pyecharts
1.1 import chart type
Like the import method of other libraries, you must first import the required chart type at the beginning of the file before drawing.
from pyecharts.charts import Bar
Bar type is the English name of histogram / bar chart in pyEcharts. There are many commonly used chart types in py charts, ...
Posted on Mon, 22 Nov 2021 23:23:16 -0500 by tomash
After learning from the underlying architecture and basic drawing steps of matplotlib module, we have learned the drawing methods of line chart and histogram.
When analyzing the data, we will select the corresponding chart to display according to the characteristics of the data. We need to express the concept of quality and use hist ...