API Documentation#

class Styler(bg_color=None, bold=False, font=utils.fonts.arial, font_size=12, font_color=None, number_format=utils.number_formats.general, protection=False, underline=None, border_type=utils.borders.thin, horizontal_alignment=utils.horizontal_alignments.center, vertical_alignment=utils.vertical_alignments.center, wrap_text=True, shrink_to_fit=True, fill_pattern_type=utils.fill_pattern_types.solid, indent=0, comment_author=None, comment_text=None, text_rotation=0)#

Used to represent a style.

Parameters:

  • bg_color (str: one of utils.colors, hex string or color name ie ‘yellow’ Excel supports) – The background color

  • bold (bool) – If True, a bold typeface is used

  • font (str: one of utils.fonts or other font name Excel supports) – The font to use

  • font_size (int) – The font size

  • font_color (str: one of utils.colors, hex string or color name ie ‘yellow’ Excel supports) – The font color

  • number_format (str: one of utils.number_formats or any other format Excel supports) – The format of the cell’s value

  • protection (bool) – If True, the cell/column will be write-protected

  • underline (str: one of utils.underline or any other underline Excel supports) – The underline type

  • border_type (str: one of utils.borders or any other border type Excel supports) – The border type

  • horizontal_alignment (str: one of utils.horizontal_alignments or any other horizontal alignment Excel supports) – Text’s horizontal alignment

  • vertical_alignment (str: one of utils.vertical_alignments or any other vertical alignment Excel supports) – Text’s vertical alignment

  • wrap_text (bool) –

  • shrink_to_fit (bool) –

  • fill_pattern_type (str: one of utils.fill_pattern_types or any other fill pattern type Excel supports) – Cells’s fill pattern type

  • indent (int) –

  • comment_author (str) –

  • comment_text (str) –

  • text_rotation (int) – Integer in the range 0 - 180

combine(styles)#

A classmethod used to combine Styler objects. The right-most object has precedence. For example:

Styler.combine(Styler(bg_color='yellow', font_size=24), Styler(bg_color='blue'))

will return

Styler(bg_color='blue', font_size=24)
Parameters:

styles (list or tuple or set) – Iterable of Styler objects

Returns:

self

Return type:

Styler

to_openpyxl_style()#
Returns:

openpyxl style object.

utils#

The utils module contains the most widely used values for styling elements such as colors and border types for convenience. It is possible to directly use a value that is not present in the utils module as long as Excel recognises it.

class number_formats#
general = 'General'
general_integer = '0'
general_float = '0.00'
percent = '0.0%'
thousands_comma_sep = '#,##0'
date = 'DD/MM/YY'
time_24_hours = 'HH:MM'
time_24_hours_with_seconds = 'HH:MM:SS'
time_12_hours = 'h:MM AM/PM'
time_12_hours_with_seconds = 'h:MM:SS AM/PM'
date_time = 'DD/MM/YY HH:MM'
date_time_with_seconds = 'DD/MM/YY HH:MM:SS'
decimal_with_num_of_digits(num_of_digits)#
Parameters:

num_of_digits (int) – Number of digits after the decimal point

Returns:

A format string that represents a floating point number with the provided number of digits after the decimal point. For example, utils.number_formats.decimal_with_num_of_digits(2) will return '0.00'

Return type:

str

class colors#
white = op_colors.WHITE
blue = op_colors.BLUE
dark_blue = op_colors.DARKBLUE
yellow = op_colors.YELLOW
dark_yellow = op_colors.DARKYELLOW
green = op_colors.GREEN
dark_green = op_colors.DARKGREEN
black = op_colors.BLACK
red = op_colors.RED
dark_red = op_colors.DARKRED
purple = '800080'
grey = 'D3D3D3'
class fonts#
aegean = 'Aegean'
aegyptus = 'Aegyptus'
aharoni = 'Aharoni CLM'
anaktoria = 'Anaktoria'
analecta = 'Analecta'
anatolian = 'Anatolian'
arial = 'Arial'
calibri = 'Calibri'
david = 'David CLM'
dejavu_sans = 'DejaVu Sans'
ellinia = 'Ellinia CLM'
class borders#
dash_dot = 'dashDot'
dash_dot_dot = 'dashDotDot'
dashed = 'dashed'
dotted = 'dotted'
double = 'double'
hair = 'hair'
medium = 'medium'
medium_dash_dot = 'mediumDashDot'
medium_dash_dot_dot = 'mediumDashDotDot'
medium_dashed = 'mediumDashed'
slant_dash_dot = 'slantDashDot'
thick = 'thick'
thin = 'thin'
class horizontal_alignments#
general = 'general'
left = 'left'
center = 'center'
right = 'right'
fill = 'fill'
justify = 'justify'
center_continuous = 'centerContinuous'
distributed = 'distributed'
class vertical_alignments#
top = 'top'
center = 'center'
bottom = 'bottom'
justify = 'justify'
distributed = 'distributed'
class underline#
single = 'single'
double = 'double'
class fill_pattern_types#
solid = 'solid'
dark_down = 'darkDown'
dark_gray = 'darkGray'
dark_grid = 'darkGrid'
dark_horizontal = 'darkHorizontal'
dark_trellis = 'darkTrellis'
dark_up = 'darkUp'
dark_vertical = 'darkVertical'
gray0625 = 'gray0625'
gray125 = 'gray125'
light_down = 'lightDown'
light_gray = 'lightGray'
light_grid = 'lightGrid'
light_horizontal = 'lightHorizontal'
light_trellis = 'lightTrellis'
light_up = 'lightUp'
light_vertical = 'lightVertical'
medium_gray = 'mediumGray'
class conditional_formatting_types#
num = 'num'
percent = 'percent'
max = 'max'
min = 'min'
formula = 'formula'
percentile = 'percentile'

StyleFrame#

The StyleFrame module contains a single class StyleFrame which servers as the main interaction point.

class StyleFrame(obj, styler_obj=None)#

Represent a stylized dataframe

Parameters:

  • obj – Any object that pandas’ dataframe can be initialized with: an existing dataframe, a dictionary, a list of dictionaries or another StyleFrame.

  • styler_obj (Styler) – A Styler object. Will be used as the default style of all cells.

apply_style_by_indexes(indexes_to_style, styler_obj, cols_to_style=None, height=None, complement_style=None, complement_height=None, overwrite_default_style=True)#
Parameters:

  • indexes_to_style (list or tuple or int or Container) – The StyleFrame indexes to style. Usually passed as pandas selecting syntax. For example, sf[sf['some_col'] = 20]

  • styler_obj (Styler) – Styler object that contains the style which will be applied to indexes in indexes_to_style

  • cols_to_style (None or str or list[str] or tuple[str] or set[str]) – The column names to apply the provided style to. If None all columns will be styled.

  • height (None or int or float) – If provided, height for rows whose indexes are in indexes_to_style.

  • complement_style (None or Styler) – Styler object that contains the style which will be applied to indexes not in indexes_to_style

  • complement_height (None or int or float) – Height for rows whose indexes are not in indexes_to_style. If not provided then height will be used (if provided).

  • overwrite_default_style (bool) – If True, the default style (the style used when initializing StyleFrame) will be overwritten. If False then the default style and the provided style wil be combined using Styler.combine method.

Returns:

self

Return type:

StyleFrame

apply_column_style(cols_to_style, styler_obj, style_header=False, use_default_formats=True, width=None, overwrite_default_style=True)#
Parameters:

  • cols_to_style (str or list or tuple or set) – The column names to style.

  • styler_obj (Styler) – A Styler object.

  • style_header (bool) – If True, the column(s) header will also be styled.

  • use_default_formats (bool) – If True, the default formats for date and times will be used.

  • width (None or int or float) – If provided, the new width for the specified columns.

  • overwrite_default_style (bool) – (bool) If True, the default style (the style used when initializing StyleFrame) will be overwritten. If False then the default style and the provided style wil be combined using Styler.combine method.

Returns:

self

Return type:

StyleFrame

apply_headers_style(styler_obj, style_index_header, cols_to_style)#
Parameters:

  • styler_obj (Styler) – A Styler object.

  • style_index_header (bool) – If True then the style will also be applied to the header of the index column

  • cols_to_style (None or str or list[str] or tuple[str] or set[str]) – the columns to apply the style to, if not provided all the columns will be styled

Returns:

self

Return type:

StyleFrame

style_alternate_rows(styles)#

Note

style_alternate_rows also accepts all arguments that StyleFrame.apply_style_by_indexes accepts as kwargs.

Parameters:

styles (list[Styler] or tuple[Styler] or set[Styler]) – List, tuple or set of Styler objects to be applied to rows in an alternating manner

Returns:

self

Return type:

StyleFrame

rename(columns, inplace=False)#
Parameters:

  • columns (dict) – A dictionary from old columns names to new columns names.

  • inplace (bool) – If False, a new StyleFrame object will be returned. If True, renames the columns inplace.

Returns:

self if inplace is True, new StyleFrame object is False

Return type:

StyleFrame

set_column_width(columns, width)#
Parameters:
Returns:

self

Return type:

StyleFrame

set_column_width_dict(col_width_dict)#
Parameters:

col_width_dict (dict[str, int or float]) – A dictionary from column names to width.

Returns:

self

Return type:

StyleFrame

set_row_height(rows, height)#
Parameters:
Returns:

self

Return type:

StyleFrame

set_row_height_dict(row_height_dict)#
Parameters:

row_height_dict (dict[int, int or float]) – A dictionary from row indexes to height.

Returns:

self

Return type:

StyleFrame

add_color_scale_conditional_formatting(start_type, start_value, start_color, end_type, end_value, end_color, mid_type=None, mid_value=None, mid_color=None, columns_range=None)#
Parameters:

  • start_type (str: one of utils.conditional_formatting_types or any other type Excel supports) – The type for the minimum bound

  • start_value – The threshold for the minimum bound

  • start_color (str: one of utils.colors, hex string or color name ie ‘yellow’ Excel supports) – The color for the minimum bound

  • end_type (str: one of utils.conditional_formatting_types or any other type Excel supports) – The type for the maximum bound

  • end_value – The threshold for the maximum bound

  • end_color (str: one of utils.colors, hex string or color name ie ‘yellow’ Excel supports) – The color for the maximum bound

  • mid_type (None or str: one of utils.conditional_formatting_types or any other type Excel supports) – The type for the middle bound

  • mid_value – The threshold for the middle bound

  • mid_color (None or str: one of utils.colors, hex string or color name ie ‘yellow’ Excel supports) – The color for the middle bound

  • columns_range (None or list[str or int] or tuple[str or int])) – A two-elements list or tuple of columns to which the conditional formatting will be added to. If not provided at all the conditional formatting will be added to all columns. If a single element is provided then the conditional formatting will be added to the provided column. If two elements are provided then the conditional formatting will start in the first column and end in the second. The provided columns can be a column name, letter or index.

Returns:

self

Return type:

StyleFrame

read_excel(path, sheet_name=0, read_style=False, use_openpyxl_styles=False, read_comments=False)#

A classmethod used to create a StyleFrame object from an existing Excel.

Note

read_excel also accepts all arguments that pandas.read_excel accepts as kwargs.

Parameters:

  • path (str) – The path to the Excel file to read.

  • sheetname –

    Deprecated since version 1.6: Use sheet_name instead.

  • sheet_name (str or int) – The sheet name to read. If an integer is provided then it be used as a zero-based sheet index. Default is 0.

  • read_style (bool) – If True the sheet’s style will be loaded to the returned StyleFrame object.

  • use_openpyxl_styles (bool) –

    If True (and read_style is also True) then the styles in the returned StyleFrame object will be Openpyxl’s style objects. If False, the styles will be Styler objects.

    Note

    Using use_openpyxl_styles=False is useful if you are going to filter columns or rows by style, for example:

    sf = sf[[col for col in sf.columns if col.style.font == utils.fonts.arial]]

  • read_comments (bool) – If True (and read_style is also True) cells’ comments will be loaded to the returned StyleFrame object. Note that reading comments without reading styles is currently not supported.

Returns:

StyleFrame object

Return type:

StyleFrame

to_excel(excel_writer='output.xlsx', sheet_name='Sheet1', allow_protection=False, right_to_left=False, columns_to_hide=None, row_to_add_filters=None, columns_and_rows_to_freeze=None, best_fit=None)#

Note

to_excel also accepts all arguments that pandas.DataFrame.to_excel accepts as kwargs.

Parameters:

  • excel_writer (str or pandas.ExcelWriter) – File path or existing ExcelWriter

  • sheet_name (str) – Name of sheet the StyleFrame will be exported to

  • allow_protection (bool) – Allow to protect the cells that specified as protected. If used protection=True in a Styler object this must be set to True.

  • right_to_lef (bool) – Makes the sheet right-to-left.

  • columns_to_hide (None or str or list or tuple or set) – Columns names to hide.

  • row_to_add_filters (None or int) – Add filters to the given row index, starts from 0 (which will add filters to header row).

  • columns_and_rows_to_freeze (None or str) – Column and row string to freeze. For example “C3” will freeze columns: A, B and rows: 1, 2.

  • best_fit (None or str or list or tuple or set) –

    single column, list, set or tuple of columns names to attempt to best fit the width for.

    Note

    best_fit will attempt to calculate the correct column-width based on the longest value in each provided column. However this isn’t guaranteed to work for all fonts (works best with monospaced fonts). The formula used to calculate a column’s width is equivalent to

    (len(longest_value_in_column) + A_FACTOR) * P_FACTOR

    The default values for A_FACTOR and P_FACTOR are 13 and 1.3 respectively, and can be modified before calling StyleFrame.to_excel by directly modifying StyleFrame.A_FACTOR and StyleFrame.P_FACTOR

Returns:

self

Return type:

StyleFrame