This article introduces how to use Python to draw different charts based on Excel table data. It is very detailed. Friends who have the same needs can refer to this article to introduce how to use Python to summarize commonly used charts and the points with Excel. Compared with other operations, drawing charts with python seems more cumbersome, especially in the processing of original data. However, the two have roughly the same idea in the process of drawing charts. Most of the work that can be done in Excel can also be done by Python. In order to explain more clearly the process of drawing charts using python, we annotate the code of the summary chart to explain the specific function of each line of code. At the end of the article, a corresponding table of custom fonts and chart colors is given. Preparation import numpy as np import pandas as pd #Import chart library for chart drawing import matplotlib.pyplot as plt loandata
1. Python draws commonly used charts
## Introduction: This article introduces how to use Python to draw different charts based on Excel table data. It is very detailed. Friends who have the same needs can refer to
##2.Summary of using Python to draw charts
#Introduction: This article mainly introduces the use of Python to draw charts The editor thinks it’s a pretty good summary. I’d like to share it with you now and give it as a reference. Let’s follow the editor to take a look
3.
Elasticsearch October 2014 Briefing
Introduction: 1. Elasticsearch Updates 1.1 released Kibana 4 Beta 1 and Beta 1.1. Kibana 4 is different from Kibana in terms of the layout of the interface, the use of configuration methods, and the way the underlying charts are drawn. After absorbing the functional requirements of many communities on the basis of Kibana 3, Kibana has made major changes for the second time since Kibana 2 was transformed into Kibana 3
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javascript - Why does chart.js report an error options is not defined when drawing a chart?
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