我正在尝试创建一个具有条件格式的 shmoo 图,其中格式规则知道最小值,并且不会用最小颜色标记表中的最小值,而是知道最小值。例如,在 10x10 的得分表中,规则不应将最低分 80 的单元格标记为红色(例如),但由于它知道最小可能值为 0,因此会将其放置在相应的色阶。 shmoo 图示例以及使用应用程序的预期公式
我在 python 3.12 中使用 xlsxwriter 库
worksheet.conditional_format( #condtional formatting 3 color scale, colors in hex
1,1,len(master_x_axis[i]),len(master_y_axis[i]),
{
"type": "3_color_scale",
"min_color": "#ff6666",
"mid_color": "#ffff66",
"max_color": "#8cff66",
"min_value": 0,
"max_value": xlsxwriter.utility.xl_rowcol_to_cell(1,len(master_x_axis[i])+2)
},
)
我已经尝试了上面的代码,除了“min_value”和“max_value”之外,一切正常,我看不到它反映在Excel文件中。
该示例几乎可以工作,但需要将
min_type
和 max_type
参数设置为所需的类型,在本例中可能是“数字”和“公式”。公式范围也应该是绝对的。
类似这样的:
import pandas as pd
from xlsxwriter.utility import xl_rowcol_to_cell
# Create a Pandas dataframe from some data.
df = pd.DataFrame(
{
"A": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"B": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"C": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"D": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"E": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"F": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"G": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"H": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"I": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
"J": [10, 10, 10, 10, 10, 10, 10, 10, 10, 0],
}
)
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter("pandas_conditional.xlsx", engine="xlsxwriter")
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name="Sheet1")
# Get the xlsxwriter workbook and worksheet objects.
workbook = writer.book
worksheet = writer.sheets["Sheet1"]
# Get the dimensions of the dataframe.
(max_row, max_col) = df.shape
# Write the target max value:
worksheet.write(1, max_col + 2, 10)
# Apply a conditional format to the required cell range.
worksheet.conditional_format(1, 1, max_row, max_col,
{
"type": "3_color_scale",
"min_color": "#ff6666",
"mid_color": "#ffff66",
"max_color": "#8cff66",
"min_type": "num",
"min_value": 0,
"max_type": "formula",
"max_value": f"={xl_rowcol_to_cell(1, max_col + 2, row_abs=True, col_abs=True)}",
},
)
# Close the Pandas Excel writer and output the Excel file.
writer.close()
这给出了以下条件格式: