PrettyColorPrinter 0.2

Pandas DataFrames / Pandas Series / Print colored Numpy arrays / lists / dicts / tuples!

**Print colored Numpy arrays / pandas DataFrames / Pandas Series / lists / dicts / tuples! **

pip install PrettyColorPrinter

This is everything you have to do to use PrettyColorPrinter with pandas

from a_pandas_ex_color_print import add_printer

add_printer() #This function will add some methods to PandasObject



#Let’s import pandas and create a DataFrame:



import pandas as pd

df=pd.read_csv(r"https://github.com/pandas-dev/pandas/raw/main/doc/data/air_quality_no2_long.csv")

All methods added to pandas start either with:

• ds_ (for DataFrames and Series)

• s_ (only for Series)

• d_ (only for DataFrames)

All methods that are added to PandasObject

• ds_color_print

• ds_color_print_all

• d_color_print_columns

• d_color_print_index

• ds_color_print_all_with_break

• ds_color_print_context

#If you want to see some examples:

from a_pandas_ex_color_print import print_test_from_pandas_github

print_test_from_pandas_github()



#If you need help

help(df.ds_color_print)

qq_ds_print(max_rows: int = 1000, max_colwidth: int = 300, repeat_cols: int = 70, asnumpy: bool = False, returndf: bool = False) -> Union[pandas.core.frame.DataFrame, pandas.core.series.Series, NoneType] method of pandas.core.frame.DataFrame instance

    Parameters

    ----------

    df : pd.DataFrame, pd.Series

        Array to print

    max_rows : int

        Stop printing after n lines (default is 1000)

    max_colwidth : int

        Width of each column (default is 300)

    repeat_cols : int (default is 70)

        Print columns again after n lines  (default is 70)

    asnumpy: bool (default is False)

        Converts pandas DataFrame to np before printing.

        If there are duplicated columns in a Pandas DataFrame,

        it changes to printasnp = True  (default is False)

    returndf:  bool (default is False)

        return the input DataFrame to allow chaining

Using PrettyColorPrinter without pandas

**

The function pdp can be used without pandas. 

Doing it this way, you are not restricted to PandasObjects.

You can print lists, dicts, tuples, np.arrays, pd.DataFrames and pd.Series

**

from a_pandas_ex_color_print import pdp