如何将groupby分组表从dataFrame写入word文档? [英] How to write groupby grouped table from dataFrame to word document?
问题描述
我是 Pandas 和 python-docx 的新手,在 Pandas 中使用 groupby 有一个这样的表:
I am new to pandas and python-docx, have a table like this using groupby in pandas:
使用 print(df)
输出:
Change Type typeA typeB typeC typeD typeE typeF
Component
A 0 2 6 0 0 6
B 0 3 2 1 1 3
C 0 1 0 0 0 4
D 0 2 2 0 0 3
E 0 0 0 0 0 1
F 0 3 0 0 1 2
G 2 1 3 0 2 3
H 0 0 0 0 0 1
I 0 1 0 0 0 0
我正在使用以下内容将此数据帧 df
写入 word 文档
:
I am using the following to write this dataFrame df
to word document
:
t = doc.add_table(df.shape[0]+1, df.shape[1])
for j in range(df.shape[-1]):
t.cell(0,j).text = df.columns[j]
for i in range(df.shape[0]):
for j in range(df.shape[-1]):
t.cell(i+1,j).text = str(df.values[i,j])
如答案中所述:将 Python Pandas DataFrame 写入 Word 文档
as specified in the answer:
Writing a Python Pandas DataFrame to Word document
我正在打印以下内容:
typeA typeB typeC typeD typeE typeF
0 2 6 0 0 6
0 3 2 1 1 3
0 1 0 0 0 4
0 2 2 0 0 3
0 0 0 0 0 1
0 3 0 0 1 2
2 1 3 0 2 3
0 0 0 0 0 1
0 1 0 0 0 0
我是新手,因此无法弄清楚我哪里出错了,我想打印整个表格?
I am newbie and hence unable to figure out where I am getting wrong, I want to print the whole of table?
推荐答案
看起来您没有将数据帧的 index
值写入文件.我已经修改了您的脚本以显示您可以使用 df.index
来访问这些,然后将它们写入第一列.
It looks like you are not writing the index
values of the dataframe to file. I have amended your script to show you can use df.index
to access these and then write them to the first column.
#...
t = doc.add_table(df.shape[0]+2, df.shape[1]+1) #df.shape[1]+1 to add one extra column for row names
for j in range(df.shape[-1]):
t.cell(0,j+1).text = df.columns[j]
for i in range(df.shape[0]):
for j in range(df.shape[-1]):
t.cell(i+2,j+1).text = str(df.values[i,j])
# write columns name to file
t.cell(0,0).text = df.columns.name
# write the index values to file
t.cell(1,0).text = df.index.name
for i, my_index in enumerate(df.index):
t.cell(i+2,0).text = my_index
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