pandas_notes []

This is an old revision of the document!

data type	description	supports missing values
float	The NumPy float type	Yes
int	The NumPy integer type	No
'Int64'	pandas nullable integer type	Yes
object	The NumPy type for storing strings (and mixed types)
category	pandas categorical type	Yes
bool	The NumPy Boolean type	No. None becomes False, np.nan becomes True
boolean	pandas nullable Boolean type	Yes
datetime64[ns]	The NumPy date type	Yes (NaT)

http://pandas.pydata.org/pandas-docs/stable/getting_started/install.html - pandas installation page. Contains instructions to install pandas in various ways.
http://pandas.pydata.org/pandas-docs/stable/ - pandas official documentation
https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html - good reference to learn about iloc, slicing ranges
DuckDB can run SQL queries directly on Parquet files and automatically take advantage of the advanced features of the Parquet format.
- https://duckdb.org/2021/06/25/querying-parquet.html - gives more details
- tags | pandas, streaming

Instead of

pandas.io.common.EmptyDataError

use

pandas.errors.EmptyDataError

data point | as of pandas 1.1.2, pandas.io.common.EmptyDataError does not work.

Ref:-

https://pandas.pydata.org/docs/whatsnew/v0.20.0.html#pandas-errors
We are adding a standard public module for all pandas exceptions & warnings pandas.errors. (GH14800). Previously these exceptions & warnings could be imported from pandas.core.common or pandas.io.common. These exceptions and warnings will be removed from the *.common locations in a future release. (GH15541)
https://pandas.pydata.org/docs/reference/api/pandas.errors.EmptyDataError.html - documentation from latest stable version
https://pandas.pydata.org/pandas-docs/version/1.4/reference/api/pandas.errors.EmptyDataError.html - documentation from version 1.4
https://pandas.pydata.org/pandas-docs/version/0.20/generated/pandas.errors.EmptyDataError.html - documentation from version 0.20

Instead of

from pandas.util.testing import assert_frame_equal

use

from pandas.testing import assert_frame_equal

data point:

Using from pandas.util.testing import assert_frame_equal in pandas 1.1.2, I get

FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.