Charts 如何在python pptx中使用时间相关值对图表数据进行解组
我尝试使用日期类型类别轴(沿X轴的datetime.datetime对象)输出XYdata。我需要查看图表数据中包含的所有数据点(X,Y)。但是,不幸的是,它们在展示中按年份分组。如何更改XY图表的“gruoing”选项 我已经变了Charts 如何在python pptx中使用时间相关值对图表数据进行解组,charts,scatter-plot,python-pptx,Charts,Scatter Plot,Python Pptx,我尝试使用日期类型类别轴(沿X轴的datetime.datetime对象)输出XYdata。我需要查看图表数据中包含的所有数据点(X,Y)。但是,不幸的是,它们在展示中按年份分组。如何更改XY图表的“gruoing”选项 我已经变了 chart.category_axis.category_type = XL_CATEGORY_TYPE.CATEGORY_SCALE 但这并没有带来成功 下面是一个代码示例: # -*- coding: utf-8 -*- """ Created on Wed
chart.category_axis.category_type = XL_CATEGORY_TYPE.CATEGORY_SCALE
但这并没有带来成功
下面是一个代码示例:
# -*- coding: utf-8 -*-
"""
Created on Wed May 30 14:46:28 2018
"""
import datetime, time
import xlrd
import pptx
from pptx import Presentation
from pptx.util import Cm, Pt
from pptx.enum.text import MSO_ANCHOR, MSO_AUTO_SIZE,PP_ALIGN
from pptx.chart.data import ChartData, XyChartData
from pptx.enum.chart import XL_CHART_TYPE
from pptx.enum.chart import XL_TICK_MARK
from pptx.enum.chart import XL_LEGEND_POSITION
from pptx.enum.chart import XL_CATEGORY_TYPE
prs = Presentation('templae.pptx')
def FonST(obj, s, t):
try:
obj.text_frame.paragraphs[0].font.size = Pt(s)
obj.text_frame.paragraphs[0].font.typeface = t
except AttributeError:
obj.font.size=Pt(s)
obj.font.typeface=t
title_slide_layout = prs.slide_masters[1].slide_layouts[1]
slide = prs.slides.add_slide(title_slide_layout)
shapes = slide.shapes
title = shapes.title
class MyXySeriesData(pptx.chart.data.XySeriesData):
"""
The data specific to a particular XY chart series. It provides access to
the series label, the series data points, and an optional number format
to be applied to each data point not having a specified number format.
The sequence of data points in an XY series is significant; lines are
plotted following the sequence of points, even if that causes a line
segment to "travel backward" (implying a multi-valued function). The data
points are not automatically sorted into increasing order by X value.
"""
def add_data_vector(self, vec1, vec2):
if len(vec1) != len(vec2):
return -1
else:
for i in range(0, len(vec1)):
self.add_data_point(vec1[i], vec2[i])
class MyXyChartData(pptx.chart.data.XyChartData):
"""
Переопределяем класс библиотеки pptx
"""
def add_series(self, name, number_format=None):
"""
Return an |XySeriesData| object newly created and added at the end of
this sequence, identified by *name* and values formatted with
*number_format*.
"""
series_data = MyXySeriesData(self, name, number_format)
self.append(series_data)
return series_data
# Open the workbook
xl_workbook = xlrd.open_workbook('bookxl.xlsx')
# Grab the first sheet by index
# (sheets are zero-indexed)
#
xl_sheet = xl_workbook.sheet_by_index(0)
#print ('Sheet name: %s' % xl_sheet.name)
# define chart data ---------------------
chart_data = MyXyChartData()
vec1 = [ datetime.datetime.fromordinal(int(693594+i.value )) for i in xl_sheet.col(0)]
vec2 = [ float(i.value) for i in xl_sheet.col(1)]
series_1 = chart_data.add_series('Model 1')
series_1.add_data_vector(vec1 , vec2)
# add chart to slide --------------------
x, y, cx, cy = Cm(10), Cm(3), Cm(10), Cm(8)
chart = slide.shapes.add_chart(
XL_CHART_TYPE.XY_SCATTER_SMOOTH_NO_MARKERS, x, y, cx, cy, chart_data
).chart
chart.chart_title.text_frame.text = 'YTD COMPLETION TO PLAN'
FonST(chart.chart_title, 12, 'Times New Roman')
#chart.chart_title.text_frame.paragraphs[0].font.size = Pt(12)
#chart.chart_title.text_frame.paragraphs[0].font = Pt(12)
chart.has_legend = True
chart.legend.include_in_layout = False
FonST(chart.legend, 12, 'Times New Roman')
#chart.legend.font.size = Pt(12)
chart.legend.position = XL_LEGEND_POSITION.BOTTOM
chart.series[0].smooth = True
#chart.category_axis.tick_labels.font.size=Pt(10)
#chart.value_axis.tick_labels.font.size=Pt(10)
FonST(chart.category_axis.tick_labels, 10, 'Times New Roman')
FonST(chart.value_axis.tick_labels, 10, 'Times New Roman')
#chart.category_axis.tick_labels.number_format = '0.00'
chart.value_axis.tick_labels.number_format = '0.00'
chart.value_axis.axis_title.text_frame.text = 'Something'
FonST(chart.value_axis.axis_title, 10, 'Times New Roman')
chart.category_axis.axis_title.text_frame.text = 'Дата'
FonST(chart.category_axis.axis_title, 10, 'Times New Roman')
chart.category_axis.category_type = XL_CATEGORY_TYPE.CATEGORY_SCALE
prs.save('testout.pptx')
“bookxl.xlsx”的第一个列表内容是:,
为方便起见,以下列出了输入数据:
01.11.2017 6.660761604
06.11.2017 7.012580588
11.11.2017 6.941095486
17.11.2017 6.85236787
20.11.2017 6.807413035
22.11.2017 6.777194047
26.11.2017 6.716288151
29.11.2017 6.670361491
01.12.2017 6.639671179
01.01.2018 6.13350148
01.02.2018 6.31542197
01.03.2018 4.600364229
01.04.2018 4.152160143
29.04.2018 3.442227537
30.04.2018 3.43343609
01.05.2018 3.425108975
01.06.2018 3.396918009
01.07.2018 3.369342609
01.08.2018 3.35360536
01.09.2018 3.351036414
01.10.2018 3.358021731
01.11.2018 3.371659755
01.12.2018 3.38805915
01.01.2019 3.406137358
01.02.2019 3.423831347
01.03.2019 3.438710981
01.04.2019 3.452972517
01.05.2019 3.464318611
01.06.2019 3.473092026
01.07.2019 3.478872101
01.08.2019 3.481948962
01.09.2019 3.482171692
01.10.2019 3.479855714
01.11.2019 3.475044618
01.12.2019 3.46824709
01.01.2020 3.459274478
现在的结果是:
我想看看这样的东西:
我认为问题在于您正在创建X/Y图表,而不是类别图表。如果将日期值作为类别图表中的类别输入,X轴将自动成为日期轴,并显示我认为您正在寻找的行为 项目技术文件中还有一些附加信息: 简单地说,秘诀是:
- 使用CategoryChartData对象而不是XyChartData
- 添加图表时,请使用其中一种折线图类型而不是XY类型(可能是直线或直线标记)
- 使用datetime.date或datetime.datetime对象作为类别值(而不是通常的str标签)
- 可能更改LineSeries.smooth以适合(可能
)series.smooth=True
我想这会给你你想要的东西。如果你能添加一个你想要的东西的屏幕截图和另一个你想要的样子,我会看看我是否能帮你。@scanny,当然可以。我现在得到这个图:I.stack.imgur.com/aong8.png。下一个图说明了我希望iy的外观:。谢谢当您在PowerPoint中打开图表“后面”的excel工作表时,数据是否与您预期的一样?您可以通过右键单击图表并选择“在Excel中编辑数据”或类似内容(取决于版本)来实现此目的。这将告诉您问题是如何写入数据还是如何显示数据。@scanny,我已经检查过了:excel工作表按预期包含正确的数据。问题在于数据是如何呈现的。