5 Comprehensive Applications

Loading...

来自 Nanjing University 的课程

Data Processing Using Python

93 个评分

Nanjing University

Data Processing Using Python

93 个评分

This course (The English copy of "用Python玩转数据" <https://www.coursera.org/learn/hipython/home/welcome>) is mainly for non-computer majors. It starts with the basic syntax of Python, to how to acquire data in Python locally and from network, to how to present data, then to how to conduct basic and advanced statistic analysis and visualization of data, and finally to how to design a simple GUI to present and process data, advancing level by level. This course, as a whole, based on Finance data and through establishment of popular cases one after another, enables learners to more vividly feel the simplicity, elegance and robustness of Python. Also, it discusses the fast, convenient and efficient data processing capacity of Python in humanities and social sciences fields like literature, sociology and journalism and science and engineering fields like mathematics and biology, in addition to business fields. Similarly, it may also be flexibly applied into other fields. The course has been updated. Updates in the new version are : 1) the whole course has moved from Python 2.x to Python 3.x 2) Added manual webpage fetching and parsing. Web API is also added. 3) Improve the content order and enrich details of some content especially for some practice projects.

从本节课中

Object Orientation and Graphical User Interface

Welcome to Module 05 “Object Orientation and Graphical User Interface”! In this module, I will guide you to understand what object orientation is and the relationship between graphical user interface and object orientation. Learners are only required to understand the concepts so that you can more freely and easily pick up various new functions in future. No program writing is required here. Besides, you also need to master the basic framework of GUI, common components and layout management. After learning them, you will find development with GUI is actually not remote. It has an Easter egg, too ~~~

1 Basic Framework of GUI9:04

2 Common Components of GUI5:17

3 Layout Management5:56

4 Other GUI Libraries4:18

5 Comprehensive Applications6:12

与讲师见面

ZHANG Li
associate professor
Department of Computer Science

Alright, so far,

we have mastered the basic contents of GUI development,

and are able to establish a

seemingly proper user interface program.

Now, we only need to

fill the previous code segments for data processing and visualization

into the methods bound to user events,

and then a simple Python version

of "Yahoo Finance" software comes into being.

Seeing this interface, do you feel impatient to say.

I finally see you after all.

Thank you

for enduring my long-time

scribbling on the screen.

Seems not bad this time.

Let's look at the program realizing this effect.

We have used 2 programs to achieve it.

The first one is dji_wxpython.

The second one is my_finance.

Look at this program: my_finance.

Does it look familiar to you?

It has two functions.

The first function, as we see, is to acquire

the aforesaid "dji" data,

i.e., the basic data of 30 Dow Jones Industrial Average stocks

like the code name and the latest trading price.

The second function is to acquire the historical data of a certain stock.

Here, by default, we see the data of the recent year.

Sure, to modify it,

it's also easy.

We may specify the starting date and the ending date in the url.

Run the program. It will generate such a main interface.

As we see,

this main interface has a lot of components

like the text box, the list box

and various buttons.

Defining and layout of these components and the events bound to them

are all realized through this dji_wxpython program.

This function, for example,

is to define various components and layout.

And these functions,

are to define the events bound to these components.

And, as we see,

the first screen displays some data,

and the date source is such a function.

We can see that

it calls this function from my_finance.

And these two functions

are to realize the forms of these data.

This program allows for display of these basic

information of 30 Dow Jones Industrial Average stocks.

Moreover, it allows us to select some attributes of a certain stock

such as the opening price, the closing price and the highest price.

Draw a plot based on these data.

The realization of this effect

mainly depends on

the "plotData()" function here.

As we can see,

this code segment should be familiar to us now.

It processes the acquired data and converts them into a DataFrame

for plotting.

Sure, here, as we see,

"plot()" is not followed by any argument,

namely, plot a basic line chart.

To draw other forms of plot,

we may add some arguments here.

In the text box,

input our interested stock code

and press Enter

or double click a list,

to acquire the line chart of historical data

of a certain stock over the recent year.

However, Spyder blocks events like Enter,

so we must run this program under Command.

Please note that, when running a program under Command,

do remove the file from the default directory,

for saving the system Python files under Anaconda.

Sure, it's also where

we saved files before.

In fact, it's a lazy way.

Inadvisable.

The reason is that, if you happen to create a file

whose name is the same as the name of Python module,

the capacity of original module would be overwritten.

We should pay attention to this.

Well, let's run this program.

This is the main interface.

With this method, we may

input a stock code into the text box,

and, say, select the needed attribute.

Press Enter to run it.

This is the corresponding line chart.

In an alternative way,

we may double click a certain stock

and also get the line chart with the selected attribute.

In this example, we utilized GUI to acquire, process and express data

It's a complete process of

processing data using Python.

It deserves our thorough understanding and realizing it by ourselves.

探索我们的目录

免费加入并获得个性化推荐、更新和优惠。

Coursera 致力于普及全世界最好的教育，它与全球一流大学和机构合作提供在线课程。

© 2018 Coursera Inc. 保留所有权利。

通过 App Store 下载

通过 Google Play 获取