openpyxl(English)

This article explains the procedure for creating "Scatter" and "Bubble Chart" with "openpyxl library" with illustrations and sample code. How to apply plot area formatting (markers/data labels/fill) is also discussed.

The procedure for inserting a "Bar (bar) graph" in the "openpyxl library," which manipulates Excel, will be illustrated with sample code. In addition, examples of applying bar formatting (fill and data labels) to plot areas will be explained in detail.

The procedure for inserting a "line chart" in the "openpyxl library," which manipulates Excel, will be explained with illustrations and sample code. In addition, examples of applying "lines," "markers," and styles to plot areas will be introduced.

This section provides illustrated instructions for inserting graphs into Excel with the "openpyxl library". The definition of the reference range of data and the elements (objects) that make up a graph, such as "title," "legend," "line," and "marker," are covered.

This section explains how to manipulate Excel's conditional formatting in the openpyxl library. This article uses illustrations to show examples of applying the "Cell Highlighting Tool" and "Upper/Lower Rules" as custom formatting.

This section explains how to manipulate Excel's conditional formatting in the openpyxl library. This article uses illustrations to show examples of the application of "data bars, icon sets, and color scales".

The "openpyxl library" explains how to apply formatting (style) settings such as "alignment," "protection," and "number format" to cells. In addition, it illustrates how to combine multiple formats (custom) and register them as user-defined styles.

The openpyxl library allows you to apply formatting (style) settings such as fonts, hatching, and borders to cells. Each format is defined and managed by a dedicated object. The detailed specifications of the classes and illustrations will be provided.

This is an illustrated explanation of openpyxl, a library for manipulating Excel in Python. It introduces "cells," the basic unit of data processing, from basic to applied operations such as "data settings," "formula settings," "merging," and "range definitions.

This is an illustrated explanation of openpyxl, a library for manipulating Excel in Python. From how to install the library to "creating a new Workbook/Worksheet" and "manipulating rows, columns, and cells" are condensed in this one article.