Put some marker in the DOCs for functions need in previous installed modules or drivers
#### Code Sample, a copy-pastable example if possible

```python
# Your code here
import pandas as pd
df = pd.read_parquet(
   'https://github.com/WillKoehrsen/Data-Analysis/blob/master/plotly/data/medium_data_2019_01_06?raw=true'
)
```
#### Problem description
Sorry I am newbie in pandas, and before today newer knows about  *parquet*.
I was just reading an article about *plotly* and try to execute some code (look above).
I’ve received the error message. But when I’ve read the [DOCs](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_parquet.html?highlight=read_parquet#pandas.read_parquet) there was no any clear word about necessary previously installed library or modules like ‘pyarrow’, ‘fastparquet’.

I propose 
1)  mark with some symbol [here](https://pandas.pydata.org/pandas-docs/stable/reference/io.html#pickling)  the functions with needs in previous installed modules or drivers. And some text about it. 
Yeah, I know about preinstalled  json, pickle, csv. But what about excell? hdf5? html? who knows?

2) Do not use default value for source, really have to be previously installed.

pandas.read_parquet(path, ***engine='auto'***, columns=None, **kwargs)

#### Expected Output
here it's much better  https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_sql_table.html#pandas.read_sql_table :


pandas.read_sql_table(table_name, ***con***, schema=None, index_col=None, coerce_float=True, parse_dates=None, columns=None, chunksize=None)



<details>
sorry for my English
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