我有以下代码来导出一组数据帧,然后将它们转换为 Excel 中的表格并应用颜色格式,然后它为每个表格创建线图,一切正常,但我遇到了以下问题:
这就是我得到的
这就是我需要的!没有主要网格线和数据标签的样式 12 Avobe
# Load the existing workbook
workbook = openpyxl.load_workbook(output_path + '\\' + output_file)
# Get the 'USA (TM)' sheet or create it if it doesn't exist
sheet_name = s
if sheet_name not in workbook.sheetnames:
workbook.create_sheet(sheet_name)
sheet = workbook[sheet_name]
# Assuming 'df' is your DataFrame
# Write headers to the specified sheet starting from column F, row 1
headers = merged_cc.columns.tolist()
for idx, header in enumerate(headers, start=1):
sheet.cell(row=1, column=idx + columns_position[e] - 1, value=header)
# Write the DataFrame values to the specified sheet starting from column F, row 2
for r_idx, row in enumerate(merged_cc.iterrows(), start=2):
for c_idx, value in enumerate(row[1], start=1):
sheet.cell(row=r_idx, column=c_idx + columns_position[e] -1 , value=value)
if isinstance(value, (int, float)):
sheet.cell(row=r_idx, column=c_idx + columns_position[e] -1).number_format = '0%'
# Adjust cell width of the table to specific width
for idx, column_width in enumerate([10.71, 10.71,10.71, 10.71, 10.71], start=columns_position[e]): # Example widths
column_letter = openpyxl.utils.get_column_letter(idx)
sheet.column_dimensions[column_letter].width = column_width
# Replace 'A1:B10' with the range you want to convert
table_range = w
# Check if the table name already exists
existing_tables = sheet.tables
if table_name in existing_tables:
del sheet._tables[table_name]
# Format the range as a table
table = openpyxl.worksheet.table.Table(displayName=table_name, ref=table_range)
table.tableStyleInfo = TableStyleInfo(name="TableStyleMedium13", showFirstColumn=False,
showLastColumn=False, showRowStripes=True, showColumnStripes=False)
# Add the table to the worksheet
sheet.add_table(table)
# Create Graph *
# Create a new LineChart object
chart = LineChart()
# Add data to the chart
data = Reference(sheet, min_col=columns_position[e]+2, min_row=1, max_col=columns_position[e] + 4, max_row=sheet.max_row)
chart.add_data(data, titles_from_data=True)
# Set the categories (X-axis labels)
categories = Reference(sheet, min_col=columns_position[e] + 1, min_row=2, max_row=len(merged_cc)+1)
chart.set_categories(categories)
# Set the title of the chart
chart.title = companies[e]
chart.style = 12
'''
# Create a DataLabelList object
data_labels = DataLabelList()
data_labels.showVal = True # Show the values of the data points
# Set the data labels for the chart
chart.dLbls = data_labels
# Iterate through each series in the chart
for series in chart.series:
# Set data labels for each data point in the series
for point in series:
data_label = DataLabel(idx=point.index, showVal=True, position='above') # Position data label above the data point
point.dataLabel = data_label
# Add the chart to the worksheet
'''
sheet.add_chart(chart, graph_coordenades[e]) # Adjust the cell reference as needed
# Save the workbook
workbook.save(output_path + '\\' + output_file)
当您声明样式 12 时,不确定您在寻找什么,但为了在第二个屏幕截图中复制我认为您所需的视图,您可以指定大部分要求。
鉴于您的代码无法运行,我提供了一个独立示例,用于设置所需的图表属性,以便您可以根据需要添加到代码中。
更新了代码示例
包括更改数据标签字体和颜色以及删除绘图区域背景。
笔记;数据标签部分已移至系列创建功能中,并且字体更改将应用到每个系列中。
字体更改包括类型和大小,如果您不想更改这些,则只需从代码中删除即可。
'b=' 将粗体设置为 True 或 False。
from openpyxl import Workbook
from openpyxl.chart.label import DataLabelList
from openpyxl.chart.shapes import GraphicalProperties
from openpyxl.chart.text import RichText
from openpyxl.drawing.text import Paragraph, ParagraphProperties, CharacterProperties, Font
from openpyxl.chart import (
LineChart,
Reference,
Series,
)
wb = Workbook()
ws = wb.active
### Some constants
min_col = 2
max_col = 5
marker_size = 8
marker_symb = "circle"
"""
This section just adds some data to the Sheet in the format of that used from the screen shot
"""
rows = [
('Quarter', 'FQ2 2022', 'FQ4 2022', 'FQ2 2023', 'FQ4 2023'),
('R1', 0.51, 0.53, 0.56, 0.58),
('R2', 0.26, 0.27, 0.28, 0.31),
('R3', 0.07, 0.08, 0.08, 0.1),
]
for r in rows:
ws.append(r)
for row in ws.iter_rows(min_row=2, min_col=min_col, max_row=4, max_col=max_col):
for cell in row:
cell.number_format = '0%'
# ----------------------------------------------------------------- #
def chart_series(s_clr, s_title, s_row):
# Function to create the series for each plot line
data = Reference(ws, min_col=min_col, min_row=s_row, max_col=max_col, max_row=s_row)
series = Series(data, title=s_title) # or have Title reference a cell
series.graphicalProperties.line.solidFill = s_clr # Colour of the plotted line
# Set Marker for series
series.marker.symbol = marker_symb
series.marker.size = marker_size # Size of the Marker symbol
series.marker.graphicalProperties.solidFill = s_clr # Marker filling
series.marker.graphicalProperties.line.solidFill = s_clr # Marker outline
# Set Datalabels
series.dLbls = DataLabelList()
series.dLbls.showVal = True
series.dLbls.position = 't' # Put the datalabel above marker
# Set Data Label font properties Note 'b=' is Bolding
cp = CharacterProperties(latin=Font(typeface='Arial'), sz=1900, b=False, solidFill=s_clr)
series.dLbls.txPr = RichText(p=[Paragraph(pPr=ParagraphProperties(defRPr=cp))])
return series
### Create Line chart
l_chart1 = LineChart()
### Set data and line colour and markers for first row data
s1_line_colour = "0000FF" # Colour of series plot line
s1_title = 'Unaided Awareness' # or reference a cell
s1_row = 2 # Row data for this series exists on
### Add Series1 to the chart
l_chart1.append(chart_series(s1_line_colour, s1_title, s1_row))
### Set data and line colour and markers for second row data
s2_line_colour = "FF0000"
s2_title = 'Unaided Consideration'
s2_row = 3
### Add Series2 to the chart
l_chart1.append(chart_series(s2_line_colour, s2_title, s2_row))
### Set data and line colour and markers for third row data
s3_line_colour = "00FF00"
s3_title = 'Unaided Preference'
s3_row = 4
### Add Series3 to the chart
l_chart1.append(chart_series(s3_line_colour, s3_title, s3_row))
### Set Chart Style
# l_chart1.style = 12 # Can be set but will not affect chart
### Set x-axis names
## Get the names from the Excel Range off Sheet
x_values = Reference(ws, min_col=min_col, min_row=1, max_col=max_col, max_row=1)
l_chart1.set_categories(x_values)
### Set y-axis Gridlines and number format
l_chart1.y_axis.minorGridlines = None # Disable minor gridlines
l_chart1.y_axis.majorGridlines = None # Disable major gridlines
l_chart1.y_axis.number_format = '0%' # Set the number format for the Y axis
### Set Chart title
l_chart1.title = 'Store 1'
## Remove Bolding from the Title Text
l_chart1.title.text.rich.paragraphs[0].pPr = ParagraphProperties(defRPr=CharacterProperties(b=False))
### Set position for the Legend
l_chart1.legend.position = 'b' # Place legend at the bottom of the chart
### Further changes
l_chart1.graphical_properties = GraphicalProperties()
## Make the border area around the plot area transparent
l_chart1.graphical_properties.noFill = True
## Remove the border around the edge of the chart
l_chart1.graphical_properties.line.noFill = True
## Make the Plot Area transparent
l_chart1.plot_area.graphicalProperties = GraphicalProperties(noFill=True)
### Set the Chart size, height and width
l_chart1.height = 15 # default height is 7.5
l_chart1.width = 40 # default width is 15
### Add Chart to Excel Sheet
ws.add_chart(l_chart1, "F1")
### Save Sheet
wb.save("LineChart.xlsx")