Sometimes data needs to be converted from a continuous range, like test scores, to a discrete set of output values, like letter grades. In this lesson we’ll see how to use d3.scaleQuantize() to do exactly that. function scaleQuantize(){ var quantizeS…

When your data contains discrete, non-numeric property values that you need to format or convert before displaying, d3.scaleOrdinal() is the API you need. Maybe you need to convert a “pass”/”fail” field to “green”/”red” for coloring your bubble chart…

Mapping abstract values to visual representations is what data visualization is all about, and that’s exactly what D3 scales do. This is usually done using pretty straightforward algorithms, but nothing is straightforward when you’re working with Dat…

错误: 在linux下开启mongoDB的 $ >bin: ./mongod 时报错:initAndListen: 10309 Unable to create/open lock file: /data/db/mongod.lock 发生场景: Linux服务器下的mongoDB 解决方案: 确认没有mongod在跑,直接自己去把那个.lock删了 然后运行一下repair 启动…

Tushare返回的是pandas的DataFrame格式,但是执行以下代码时报错:TypeError: Empty 'DataFrame': no numeric data to plot import tushare as ts df_all = ts.realtime_boxoffice() df_box_office = df['BoxOffice'] df_box_office.index = df['Irank'] df_box_office.plot(kind='bar') 反复输…

Change is good, but creating from scratch is even better. This lesson shows you how to create DOM elements from D3 and insert them into your document as needed. You’ll officially be on your way to creating data visualizations! d3.select('.title') .in…

Most charts aren’t complete without axes to provide context and labeling for the graphical elements being displayed. This lesson introduces D3’s APIs for creating, customizing, and displaying axes while building on topics from previous lessons. var m…

Mapping abstract values to visual representations is what data visualization is all about, and that’s exactly what D3 scales do. Turning a test score into a column height, or a percentage into an opacity requires translating from one set of possible…

简单的代码,利用pandas模块读csv数据文件,这里有两种方式,一种是被新版本pandas遗弃的Series.from_csv:另一种就是pandas.read_csv 先说一下问题这个问题就是在读csv文件时,默认的数据是object类型,因而没有字符型数据可被plot,此时仅需要转换一下类型即可,如下: from pandas import Series import matplotlib.pyplot as plt data = Series.from_csv('daily.csv',h…

解决方法: 加权 sudo chmod -Rf 777 /data/db…