Pandas can directly read web page html (table), json, csv and other formats

I asked a question in the Python Silver Exchange Group [Ming] a few days ago Pandas handles the problem of html, as shown in the figure below.

In fact, it’s not a question, it’s an exchange.

Indeed, Pandas can read html directly, and it is more convenient when reading web pages.

2. Implementation process

Let’s discuss it together and learn how to read html directly from Pandas method.

Later [null] gave a sample code, which was just in time.

A simple three-sentence code can extract web page data and save it in a table. For web pages in tabular form, you no longer need to tr, td one by one. I went to pick up the tag, just Pandas.

Later I found out that the brothers were fellow policemen in Hubei Province, and they chatted animatedly with each other. It’s more fun to meet fellow villagers and study together! Later, [null] was expanded to include the json format loaded by ajax, which can also be implemented using Pandas. An example is also given here.

The result obtained is shown in the figure below:

Later [Moon God] also provided extensions, and it is also possible to capture the csv format.

I have to admit, Pandas is really too powerful!