我有以下数据：s = '{"Date":{"0":"2016-10-03 00:00:00","1":"2016-10-03 00:00:00","2":"2016-10-03 00:00:00","3":"2016-10-04 00:00:00","4":"2016-10-04 00:00:00","5":"2016-10-04 00:00:00","6":"2016-10-05 00:00:00","7":"2016-10-05 00:00:00","8":"2016-10-05 00:00:00"},"Close":{"0":31.5,"1":112.52,"2":57.42,"3":113.0,"4":57.24,"5":31.35,"6":57.64,"7":31.59,"8":113.05},"Volume":{"0":14070500,"1":21701800,"2":19189500,"3":29736800,"4":20085900,"5":18460400,"6":16726400,"7":11808600,"8":21453100},"Symbol":{"0":"CSCO","1":"AAPL","2":"MSFT","3":"AAPL","4":"MSFT","5":"CSCO","6":"MSFT","7":"CSCO","8":"AAPL"}}'df = pd.read_json(s)看起来像这样： Date Close Volume Symbol0 2016-10-03 31.50 14070500 CSCO1 2016-10-03 112.52 21701800 AAPL2 2016-10-03 57.42 19189500 MSFT3 2016-10-04 113.00 29736800 AAPL4 2016-10-04 57.24 20085900 MSFT5 2016-10-04 31.35 18460400 CSCO6 2016-10-05 57.64 16726400 MSFT7 2016-10-05 31.59 11808600 CSCO8 2016-10-05 113.05 21453100 AAPL我可以创建以下所需的样式：format_dict = dict(Date="{:%m/%d/%y}", Close="${:.2f}", Volume="{:,}")( df.style.format(format_dict) .hide_index() .bar("Volume", color="lightblue", align="zero"))其外观如下：但是当我使用以下内容写入Excel文件时：format_dict = dict(Date="{:%m/%d/%y}", Close="${:.2f}", Volume="{:,}")df_formatted = ( df.style.format(format_dict) .hide_index() .bar("Volume", color="lightblue", align="zero"))df_formatted.to_excel("demo.xlsx")它给了我以下几点：我不知道如何解决这个问题。以下是我为创建此示例的虚拟env安装的软件包：-> % pip freezeet-xmlfile==1.0.1jdcal==1.4.1Jinja2==2.11.1MarkupSafe==1.1.1numpy==1.18.2openpyxl==3.0.3pandas==1.0.3python-dateutil==2.8.1pytz==2019.3six==1.14.0
2 回答
qq_笑_17
TA贡献1818条经验 获得超7个赞
在 Excel 中，单元格内条形图称为数据条，您可以使用条件格式添加它。我已经演示了如何使用开放pyxl和xlsx写器来做到这一点。我建议使用，因为它允许您选择渐变或纯色背景，而没有此选项并生成具有渐变的数据条。xlsxwriteropenpyxl
断续器
import pandas as pd
from xlsxwriter.utility import xl_range
s = '{"Date":{"0":"2016-10-03 00:00:00","1":"2016-10-03 00:00:00","2":"2016-10-03 00:00:00","3":"2016-10-04 00:00:00","4":"2016-10-04 00:00:00","5":"2016-10-04 00:00:00","6":"2016-10-05 00:00:00","7":"2016-10-05 00:00:00","8":"2016-10-05 00:00:00"},"Close":{"0":31.5,"1":112.52,"2":57.42,"3":113.0,"4":57.24,"5":31.35,"6":57.64,"7":31.59,"8":113.05},"Volume":{"0":14070500,"1":21701800,"2":19189500,"3":29736800,"4":20085900,"5":18460400,"6":16726400,"7":11808600,"8":21453100},"Symbol":{"0":"CSCO","1":"AAPL","2":"MSFT","3":"AAPL","4":"MSFT","5":"CSCO","6":"MSFT","7":"CSCO","8":"AAPL"}}'
df = pd.read_json(s)
def get_range(df, column_name):
"""Return coordinates for a column range given a column name.
For example, if "Volume" is the third column and has 10 items,
output is "C2:C10".
"""
col = df.columns.get_loc(column_name)
rows = df.shape[0]
# Use 1 to skip the header.
return xl_range(1, col, rows, col)
writer = pd.ExcelWriter("output.xlsx", engine="xlsxwriter")
df.to_excel(writer, sheet_name="Sheet1", index=False)
worksheet = writer.sheets["Sheet1"]
range_ = get_range(df, "Volume")
worksheet.conditional_format(range_, {'type': 'data_bar', 'bar_solid': True})
writer.save()
示例输出：
开放像素 （不支持实心数据条）
from openpyxl.formatting.rule import DataBar, FormatObject, Rule
import pandas as pd
s = '{"Date":{"0":"2016-10-03 00:00:00","1":"2016-10-03 00:00:00","2":"2016-10-03 00:00:00","3":"2016-10-04 00:00:00","4":"2016-10-04 00:00:00","5":"2016-10-04 00:00:00","6":"2016-10-05 00:00:00","7":"2016-10-05 00:00:00","8":"2016-10-05 00:00:00"},"Close":{"0":31.5,"1":112.52,"2":57.42,"3":113.0,"4":57.24,"5":31.35,"6":57.64,"7":31.59,"8":113.05},"Volume":{"0":14070500,"1":21701800,"2":19189500,"3":29736800,"4":20085900,"5":18460400,"6":16726400,"7":11808600,"8":21453100},"Symbol":{"0":"CSCO","1":"AAPL","2":"MSFT","3":"AAPL","4":"MSFT","5":"CSCO","6":"MSFT","7":"CSCO","8":"AAPL"}}'
df = pd.read_json(s)
first = FormatObject(type='min')
second = FormatObject(type='max')
data_bar = DataBar(cfvo=[first, second], color="ADD8E6", showValue=None, minLength=None, maxLength=None)
rule = Rule(type='dataBar', dataBar=data_bar)
writer = pd.ExcelWriter("output.xlsx", engine="openpyxl")
df.to_excel(writer, sheet_name="Sheet1", index=False)
worksheet = writer.sheets['Sheet1']
# Add data bar to Volume column.
start = worksheet["C"][1].coordinate
end = worksheet["C"][-1].coordinate
worksheet.conditional_formatting.add(f"{start}:{end}", rule)
writer.save()
writer.close()
示例输出：
REPT功能
另一种选择是创建单元格内条形图是使用Excel中的函数。它不像数据栏:)REPT
import pandas as pd
s = '{"Date":{"0":"2016-10-03 00:00:00","1":"2016-10-03 00:00:00","2":"2016-10-03 00:00:00","3":"2016-10-04 00:00:00","4":"2016-10-04 00:00:00","5":"2016-10-04 00:00:00","6":"2016-10-05 00:00:00","7":"2016-10-05 00:00:00","8":"2016-10-05 00:00:00"},"Close":{"0":31.5,"1":112.52,"2":57.42,"3":113.0,"4":57.24,"5":31.35,"6":57.64,"7":31.59,"8":113.05},"Volume":{"0":14070500,"1":21701800,"2":19189500,"3":29736800,"4":20085900,"5":18460400,"6":16726400,"7":11808600,"8":21453100},"Symbol":{"0":"CSCO","1":"AAPL","2":"MSFT","3":"AAPL","4":"MSFT","5":"CSCO","6":"MSFT","7":"CSCO","8":"AAPL"}}'
df = pd.read_json(s)
writer = pd.ExcelWriter("output.xlsx", engine="openpyxl")
df.to_excel(writer, sheet_name="Sheet1", index=False)
worksheet = writer.sheets['Sheet1']
# Use column E because that is the next empty column.
for row, cell in enumerate(worksheet["E"]):
# Add 1 because Python's indexing starts at 0 and Excel's does not.
row += 1
if row != 1:
# Column C corresponds to Volume.
value = f'=REPT("|", C{row} / 1000000)'
else:
value = "Bar"
worksheet[f"E{row}"] = value
writer.save()
writer.close()
示例输出：
慕运维8079593
TA贡献1876条经验 获得超5个赞
你只是做这是为了显示目的，我们应该分配列format
df.Volume= df.Volume.map(lambda x: "{:,}".format(x))
df#df.to_excel("demo.xlsx")
Date Close Volume Symbol
0 2016-10-03 31.50 14,070,500 CSCO
1 2016-10-03 112.52 21,701,800 AAPL
2 2016-10-03 57.42 19,189,500 MSFT
3 2016-10-04 113.00 29,736,800 AAPL
4 2016-10-04 57.24 20,085,900 MSFT
5 2016-10-04 31.35 18,460,400 CSCO
6 2016-10-05 57.64 16,726,400 MSFT
7 2016-10-05 31.59 11,808,600 CSCO
8 2016-10-05 113.05 21,453,100 AAPL
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