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This article introduces the knowledge of "what are the interesting Python libraries". In the operation of practical cases, many people will encounter such a dilemma. Then let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

1. Bashplotlib

Bashplotlib is a Python library that enables you to draw data in a command-line stdout environment. To be honest, when I first saw this library, I wondered why we might need such a library.

The author soon realized that it could be useful when there was no GUI available. This situation is not very common, it aroused the curiosity of the author. This is a very interesting Python library.

Using pip, you can easily install Bashplotlib:

Pipinstall bashplotlib

Let's look at some examples. In the following code, numpy is imported to generate some random arrays and, of course, bashplotlib.

Importnumpy as np from bashplotlib.histogram import plot_hist arr = np.random.normal (size=1000, loc=0, scale=1)

Plot_hist is a function of bashplotlib to draw one-dimensional data in a histogram, just like plt.hist does in Matplotlib. Then, use Numpy to generate a random array of 1000 numbers that obey normal distribution. After that, you can easily draw this data:

Plot_hist (arr, bincount=50)

The output looks like this:

You can also use scatter plots to draw data from text files.

2. PrettyTable

Bashplotlib draws the data in the command line environment, while PrettyTable draws the output table in a nice format.

Similarly, you can easily install this library using pip:

Pipinstall prettytable

First, import the library:

From prettytable import PrettyTable

Then, use PrettyTable to create a table object:

Table = PrettyTable ()

Once you create a table object, you can start adding fields and data columns:

Table.field_names= ['Name',' Age', 'City'] table.add_row (["Alice", 20, "Adelaide") table.add_row (["Bob", 20, "Brisbane"]) table.add_row (["Chris", 20, "Cairns"]) table.add_row (["David", 20, "Sydney"]) table.add_row (["Ella", 20, "Melbourne"])

Just print to display the form:

Print (table)

PrettyTable also supports improved table styles, including almost anything you can think of. For example, we can right-align the text in the table:

Table.align= 'r'print (table)

Sort the table by column:

Table.sortby= "City" print (table)

You can even get the HTML string of the table

3. Colorama

Do you want to add some colors to the command line application? Colorama can easily output your favorite colors.

Once again, install Colorama using pip:

Colorama supports rendering output colors in foreground (text color), background (background color), and style (color of extra styles). You can import:

Fromcolorama import Fore, Back, Style

First, use yellow to display some warnings:

Then try to display some errors with a red background:

Print (Back.RED+ Fore.WHITE + "This is an error!")

The red is too bright. Use "dim" style.

Print (Back.RESET+ Style.DIM + "Another error!")

Set "RESET" here to change the background color to the default.

The DIM style makes fonts invisible. To get everything back to normal, simply set "Style" to "RESET_ALL":

Print (Style.RESET_ALL)

4. FuzzyWuzzy

In many cases, you may want to implement a "fuzzy" search function for your program, and FuzzyWuzzy provides a lightweight solution out of the box.

Just like going again, use pip to install:

Pip installfuzzywuzzy

Import the library:

Fromfuzzywuzzy import fuzz

Do a simple test:

Fuzz.ratio ("Let'sdo a simple test", "Let us do a simple test")

As the result shows, "93" indicates that the two strings have 93% similarity, which is quite high.

When you have a list of strings and want to search for all strings, FuzzyWuzzy will help extract the most relevant strings and their similarities.

Fromfuzzywuzzy import processchoices = ["Data Visualisation", "DataVisualization", "Customised Behaviours", "CustomizedBehaviors"] process.extract ("data visulisation", choices,limit=2) process.extract ("custom behaviour", choices,limit=2)

In the above example, the parameter limit tells FuzzyWuzzy to extract the "first n" results. Otherwise, you will get a list of tuples with all these original strings and their similarity scores.

5. TQDM

Do you usually use Python to develop command line tools? If so, be sure to try this library. When the CLI tool deals with something time-consuming, it will help you understand how much work has been done by displaying a progress bar.

The old way, use pip to install:

Pipinstall tqdm

When the for loop uses the range function, simply replace it with the trange in tqdm.

Fromtqdm import trangefor i in trange: sleep

In general, loop the list. It's also easy to use tqdm.

Fromtqdm import tqdm for e in tqdm ([1 Suppose we are doing something with theelements 2 3 4 4 5 6 7 8): sleep

Tqdm applies not only to the command line environment, but also to iPython / Jupyter Notebook.

That's all for "what are the interesting Python libraries"? thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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