在Python中动态生成XLSXWriter图表 - 不引用 [英] Dynamically produced XLSXWriter charts in python - not referencing
问题描述
与代码交互(见下文)应该在您启动工作簿的地方运行:
code> test = Workbook('Test Workbook')
然后,您可以添加为许多图表如下:
test.add_chart(df,'Df Title',1)
test.add_chart (df2,'Df2标题',1)
然后你生成工作簿:
test.produce()
输入数据帧有标题。第一列是文本类别,后续列(不同数字)是小数形式的数据,要作为百分比绘制。
问题:代码工作相当不错,似乎与图表分开生成所有的工作表,但有些图表显示为未引用,这意味着当我点击列图中的一个栏时,它不会突出显示源数据。一些使用代码生成的图表,DO适当地引用,所以我不知道问题在哪里,没有明显的趋势。
code> import xlsxwriter
import pandas as pd
class Workbook:
def __init __(self,workbook_name):
self.workbook_name = workbook_name
self.workbook = xlsxwriter.Workbook(str(self.workbook_name)+'.xlsx')
self.letters = ['A','B' 'C','D','E','F','G','H','I','J','K','L','M','N' ','P']
def produce(self):
self.workbook.close()
print'Created'+ str(self.workbook_name)+'.xlsx '
def print_frame(self,worksheet,dataframe,df_width,start_data_index):
col_as_lists = []
col_names = list(dataframe.columns.values)
#循环通过df中的列,并将范围中的n转换为列表
(0,df_width ):
col_n = dataframe [col_names [n]]。tolist()
#检查列是否有数字,如果是 - >转换为浮动!
如果n < start_data_index:
col_n.insert(0,col_names [n])
elif self.is_number(col_n [0]):
convert = col_n [0:]
convert = [float(x)for convert in]]
convert.insert(0,col_names [n])
col_n = convert
else:
col_n.insert(0 ,col_names [n])
col_as_lists.append(col_n)
#将每个列表打印到工作表中。
worksheet.write_column(self.letters [n] +'1',col_as_lists [n])
#以数字数字形式表示百分比
percentformat = self.workbook.add_format {'num_format':'0%'})
worksheet.set_column(self.letters [start_data_index] +':'+ self.letters [df_width],None,percentformat)
def add_chart(self,dataframe,tab_name,start_data_index):
df_width = len(dataframe.columns)
工作表= self.workbook.add_worksheet(tab_name)
self.print_frame(工作表,数据框,df_width,start_data_index)
chart = self.workbook.add_chart({'type':'column'})
df_length =(len dataframe.index))
范围内的n(start_data_index,df_width):
chart.add_series({
'name':'='+ tab_name + '!$'+ self.letters [n] +'$ 1',
'categories':'='+ tab_name +'!$'+ self.letters [start_data_index - 1] +'$ 2:$'+ self.letters [start_data_index - 1] +'$'+ str(df_length + 1),
'values':'='+ tab_name +'!$'+ self。字母[n] +'$ 2:$'+ self.letters [n] +'$'+ str(df_length + 1),
'fill':{'color':'#FFB11E'},
'data_labels':{'value':True,'center':True}
})
chart.set_title({'name':tab_name})
图.set_x_axis({'major_gridlines':{'visible':False}})
chart.set_y_axis({'major_gridlines':{'visible':False},'max':.70})
workheet.insert_chart(self.letters [df_width + 2] +'2',图表)
返回
def is_number(self,s):
用于帮助检测和转换浮点数
从字符串到数字数据类型的函数。
try:
float(s)
return True
除了ValueError:
返回False
您的示例调用:
test.add_chart(df, Df Title',1)
test.add_chart(df2,'Df2 Title',1)
<建议你有时在名字中有空格。当您尝试像
'name':'='+ tab_name +'!$'+ self 。 $ b $ $ b 'name':'= Df Title!$ A $ 1',
(当 tab_name
等于'Df标题'
和 n
等于 0
)。
你还应该能够具有空格的表格引用,但用单引号括起来,如
'name':='Df Title'!$ A $ 1,
所以一个更强大的代码方式是
'name':='+ tab_name +'!$+ self.letters [n] +'$ 1',
我有点惊讶,图表会使用破碎的表格参考书,但我实际上没有测试图表我自己,只是简单的单元格公式涉及表名。
I'm using the below class I've written to try and dynamically create a single Excel file with several worksheets where there is a printed dataframe and a column chart in each worksheet.
Interacton with the code (seen below) should function where you initiate a workbook:
test = Workbook('Test Workbook')
And then, you can add as many charts as you want:
test.add_chart(df, 'Df Title', 1)
test.add_chart(df2, 'Df2 Title', 1)
And then you produce the workbook:
test.produce()
Input dataframes have headers. First column is text categories, subsequent columns (of varying number) are data in the form of decimals, that are to be graphed as percents.
THE ISSUE: The code works fairly well, and seems to produce all of the worksheets separately with charts, BUT some of the charts appear as "not referenced", meaning that when I click on a bar in the column chart, it does not highlight the source data. Some of the charts produced with the code, DO reference appropriately, so I am not sure where the issue is, and there is not an obvious trend.
import xlsxwriter
import pandas as pd
class Workbook:
def __init__(self, workbook_name):
self.workbook_name = workbook_name
self.workbook = xlsxwriter.Workbook(str(self.workbook_name) + '.xlsx')
self.letters = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P']
def produce(self):
self.workbook.close()
print 'Created ' + str(self.workbook_name) + '.xlsx'
def print_frame(self, worksheet, dataframe, df_width, start_data_index):
col_as_lists = []
col_names = list(dataframe.columns.values)
# loops through columns in df and converts to list
for n in range(0, df_width):
col_n = dataframe[col_names[n]].tolist()
# checks to see if column has numbers, if so -> convert to float!
if n < start_data_index:
col_n.insert(0, col_names[n])
elif self.is_number(col_n[0]):
convert = col_n[0:]
convert = [float(x) for x in convert]
convert.insert(0, col_names[n])
col_n = convert
else:
col_n.insert(0, col_names[n])
col_as_lists.append(col_n)
# Prints each list into the worksheet.
worksheet.write_column(self.letters[n] + '1', col_as_lists[n])
#Formats numerical data as percentage
percentformat = self.workbook.add_format({'num_format': '0%'})
worksheet.set_column(self.letters[start_data_index] + ':' + self.letters[df_width], None, percentformat)
def add_chart(self, dataframe, tab_name, start_data_index):
df_width = len(dataframe.columns)
worksheet = self.workbook.add_worksheet(tab_name)
self.print_frame(worksheet, dataframe, df_width, start_data_index)
chart = self.workbook.add_chart({'type': 'column'})
df_length = (len(dataframe.index))
for n in range(start_data_index, df_width):
chart.add_series({
'name': '=' + tab_name +'!$' + self.letters[n] + '$1',
'categories': '=' + tab_name +'!$' + self.letters[start_data_index - 1] + '$2:$'+ self.letters[start_data_index - 1] + '$' + str(df_length + 1),
'values': '=' + tab_name +'!$' + self.letters[n] + '$2:$'+ self.letters[n] + '$' + str(df_length + 1),
'fill': {'color': '#FFB11E'},
'data_labels': {'value': True, 'center': True}
})
chart.set_title({'name': tab_name})
chart.set_x_axis({'major_gridlines': {'visible': False}})
chart.set_y_axis({'major_gridlines': {'visible': False}, 'max': .70})
worksheet.insert_chart(self.letters[df_width + 2] + '2', chart)
return
def is_number(self, s):
""" Function used to help with detecting and converting floats
from string to number data types."""
try:
float(s)
return True
except ValueError:
return False
解决方案 Your example invocations:
test.add_chart(df, 'Df Title', 1)
test.add_chart(df2, 'Df2 Title', 1)
suggest that you sometimes had spaces in the names. This results in broken references when you try things like
'name': '=' + tab_name +'!$' + self.letters[n] + '$1',
which would evaluate to
'name': '=Df Title!$A$1',
(when tab_name
equals 'Df Title'
and n
equals 0
), for example.
You should still be able to have sheet references with spaces, but enclosed in single-quotes, like
'name': "='Df Title'!$A$1",
so a more robust way to code would be
'name': "='" + tab_name +"'!$" + self.letters[n] + '$1',
I'm a little surprised that the charts would work at all with the broken sheet references, but I haven't actually tested charts myself, just plain cell formulas that involve sheet names.
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