英文:
Reseting Column names and removing Indices of a Transposed table
问题
以下是您要求的翻译部分：
期望的输出是一个水平表格（带有堆叠的表格），左侧有命名的标头，没有/隐藏的索引:
原始数据框：
r1 =
股票 %变动
0 RELIANCE (-0.62%)
1 TCS (-1.68%)
2 HDFCBANK (-0.77%)
3 ICICIBANK (-0.72%)
r2 =
股票 %变动
0 LT (-0.27%)
1 HCLTECH (-1.9%)
2 ASIANPAINT (-1.48%)
3 AXISBANK (-0.41%)
如何重置垂直表格并合并为一个堆叠的水平表格，一个在另一个上面，具有自定义标头名称在左侧，没有/隐藏的索引，以便所有单元格都可以在一个视图中显示（无滚动）？
r_concat只是返回已连接的表格，而不是重命名列。
输入：
r_concat = pd.concat([r1.transpose(),r2.transpose()],axis=0,ignore_index=True).reset_index().rename(columns={'0':'股票','1':'%变动','2':'股票','3':'%变动'}).set_index('股票')
输出：
r_concat =
0 1 2 3 4 5 6
0 RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC INFY
1 (-1.39%) (0.03%) (-0.65%) (-0.15%) (0.29%) (-0.78%) (0.38%)
2 LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA TITAN
3 (-0.86%) (-0.91%) (0.1%) (0.01%) (-1.44%) (-1.43%) (0.32%)
英文:
Expected Output is a Horizontal table(with stacked tables) with named headers on the left and no/hidden indices.) :
Original dataframes:
r1 =
Stock %Change
0 RELIANCE (-0.62%)
1 TCS (-1.68%)
2 HDFCBANK (-0.77%)
3 ICICIBANK (-0.72%)
r2 =
Stock %Change
0 LT (-0.27%)
1 HCLTECH (-1.9%)
2 ASIANPAINT (-1.48%)
3 AXISBANK (-0.41%)
How to reset vertical tables and merge into a stacked horizontal table one above the other with custom HeaderNames on left and no/hidden Indices so that all the cells can be displayed in one view(No Scroll)?
r_concat simply returns the concatenated table without the renaming columns
in: r_concat = pd.concat([r1.transpose(),r2.transpose()],axis=0,ignore_index=True).reset_index().rename(columns={'0':'Stock','1':'%Chg','2':'Stock','3':'%Chg'}).set_index('Stock')
out:
r_concat =
0 1 2 3 4 5 6
0 RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC INFY
1 (-1.39%) (0.03%) (-0.65%) (-0.15%) (0.29%) (-0.78%) (0.38%)
2 LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA TITAN
3 (-0.86%) (-0.91%) (0.1%) (0.01%) (-1.44%) (-1.43%) (0.32%)
答案1
得分: 0
期望的输出不明确，但您可能想要：
out = pd.DataFrame([r_concat.iloc[1::2].to_numpy().ravel()],
columns=r_concat.iloc[::2].to_numpy().ravel()
)
输出：
RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC INFY LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA TITAN
0 (-1.39%) (0.03%) (-0.65%) (-0.15%) (0.29%) (-0.78%) (0.38%) (-0.86%) (-0.91%) (0.1%) (0.01%) (-1.44%) (-1.43%) (0.32%)
或者：
out = pd.DataFrame({'stock': r_concat.iloc[::2].to_numpy().ravel(),
'change': r_concat.iloc[1::2].to_numpy().ravel()
})
输出：
stock change
0 RELIANCE (-1.39%)
1 TCS (0.03%)
2 HDFCBANK (-0.65%)
3 ICICIBANK (-0.15%)
4 HINDUNILVR (0.29%)
5 ITC (-0.78%)
6 INFY (0.38%)
7 LT (-0.86%)
8 HCLTECH (-0.91%)
9 ASIANPAINT (0.1%)
10 AXISBANK (0.01%)
11 MARUTI (-1.44%)
12 SUNPHARMA (-1.43%)
13 TITAN (0.32%)
或者：
df = pd.DataFrame.from_dict({'Stock': r_concat.iloc[::2].to_numpy().ravel(),
'change': r_concat.iloc[1::2].to_numpy().ravel()},
orient='index')
输出：
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Stock RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC INFY LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA TITAN
change (-1.39%) (0.03%) (-0.65%) (-0.15%) (0.29%) (-0.78%) (0.38%) (-0.86%) (-0.91%) (0.1%) (0.01%) (-1.44%) (-1.43%) (0.32%)
英文:
The expected output is unclear but you might want:
out = pd.DataFrame([r_concat.iloc[1::2].to_numpy().ravel()],
columns=r_concat.iloc[::2].to_numpy().ravel()
)
Output:
RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC INFY LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA TITAN
0 (-1.39%) (0.03%) (-0.65%) (-0.15%) (0.29%) (-0.78%) (0.38%) (-0.86%) (-0.91%) (0.1%) (0.01%) (-1.44%) (-1.43%) (0.32%)
Or maybe:
out = pd.DataFrame({'stock': r_concat.iloc[::2].to_numpy().ravel(),
'change': r_concat.iloc[1::2].to_numpy().ravel()
})
Output:
stock change
0 RELIANCE (-1.39%)
1 TCS (0.03%)
2 HDFCBANK (-0.65%)
3 ICICIBANK (-0.15%)
4 HINDUNILVR (0.29%)
5 ITC (-0.78%)
6 INFY (0.38%)
7 LT (-0.86%)
8 HCLTECH (-0.91%)
9 ASIANPAINT (0.1%)
10 AXISBANK (0.01%)
11 MARUTI (-1.44%)
12 SUNPHARMA (-1.43%)
13 TITAN (0.32%)
Or:
df = pd.DataFrame.from_dict({'Stock': r_concat.iloc[::2].to_numpy().ravel(),
'change': r_concat.iloc[1::2].to_numpy().ravel()},
orient='index')
Output:
0 1 2 3 4 5 6 7 8 9 10 11 12 13
Stock RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC INFY LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA TITAN
change (-1.39%) (0.03%) (-0.65%) (-0.15%) (0.29%) (-0.78%) (0.38%) (-0.86%) (-0.91%) (0.1%) (0.01%) (-1.44%) (-1.43%) (0.32%)
答案2
得分: 0
使用：
r_concat = pd.concat([r1.T,r2.T])
或者：
r_concat = pd.concat([r1,r2], axis=1).T
print (r_concat)
0 1 2 3
Stock RELIANCE TCS HDFCBANK ICICIBANK
%Change (-0.62%) (-1.68%) (-0.77%) (-0.72%)
Stock LT HCLTECH ASIANPAINT AXISBANK
%Change (-0.27%) (-1.9%) (-1.48%) (-0.41%)
要写入文件或在不显示列名的情况下显示，请使用：
r_concat.to_csv('filename.csv', header=False)
print (r_concat.to_string(header=False))
英文:
Use:
r_concat = pd.concat([r1.T,r2.T])
Or:
r_concat = pd.concat([r1,r2], axis=1).T
print (r_concat)
0 1 2 3
Stock RELIANCE TCS HDFCBANK ICICIBANK
%Change (-0.62%) (-1.68%) (-0.77%) (-0.72%)
Stock LT HCLTECH ASIANPAINT AXISBANK
%Change (-0.27%) (-1.9%) (-1.48%) (-0.41%)
For write to file or display without columns names use:
r_concat.to_csv('filename.csv', header=False)
print (r_concat.to_string(header=False))
答案3
得分: 0
以下是已翻译的内容：
Used Join & Transpose and got the expected Horizontal table(with stacked tables) with named headers on the left and no/hidden indices.
In:
r_join = r1.join(r2,lsuffix='_0', rsuffix='_1')
r_join =r_join.reset_index().set_index('Stock_0').drop(['index'], axis=1).transpose()
Out:
r_join =
Stock_0 RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC
%Change_0 (-0.55%) (-1.75%) (-1.21%) (-0.73%) (-0.57%) (-0.02%)
Stock_1 LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA
%Change_1 (-0.48%) (-1.9%) (-1.84%) (-0.54%) (0.04%) (-1.16%)
英文:
Used Join & Transpose and got the expected Horizontal table(with stacked tables) with named headers on the left and no/hidden indices.
In:
r_join = r1.join(r2,lsuffix='_0', rsuffix='_1')
r_join =r_join.reset_index().set_index('Stock_0').drop(['index'], axis=1).transpose()
Out:
r_join =
Stock_0 RELIANCE TCS HDFCBANK ICICIBANK HINDUNILVR ITC
%Change_0 (-0.55%) (-1.75%) (-1.21%) (-0.73%) (-0.57%) (-0.02%)
Stock_1 LT HCLTECH ASIANPAINT AXISBANK MARUTI SUNPHARMA
%Change_1 (-0.48%) (-1.9%) (-1.84%) (-0.54%) (0.04%) (-1.16%)
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论