根据提供的DataFrame df回的下列四个问题

Question

import pandas as pd
import numpy as np
data={
'AUD/USD': [1.72, 1.74, no.nan, 168, 1.75, 1.71,],
'EUR/AUD': [0.62, 0.63, 0.59, 0.64, no.nan, 0.61,],}
index = ['2022-10-1', '2022-10-2', '2022-10-3',2032-10-4', '2022-10-7', '2022-10-8',]
df =pd.DataFrame(data, index)

(1)
输出结果为
| |AUD/USD|EUR/AUD|
|2022-10-1 | 1.72 | 0.62 |
|2022-10-7 | 1.75 | no.nan |
问
sel_q1=？
q1=df loc[sel_q1]

（2）(3)
输出结果为
| |AUD/USD|EUR/AUD|
|2022-10-1| 1.72 | 0.62 |
|2022-10-2| 1.74 | 0.63 |
问(2)
（start_q2, stop_q2）= ( ?, ? )
q2 = df.iloc[start_q2:stop_q2]
问（3）
(start_q3, stop_q3) = ( ?, ? )
q3 = df[start_q3:stop_q3]

(4)
输出结果为
| |AUD/USD|
|2022-10-1| 1.72 |
|2022-10-2| 1.74 |
问
row_sel_q4 = ?
col_sel_q4 = ?
q4 = df. loc[row_sel_q4, col_sel_q4]

Answer 1

import pandas as pd
import numpy as np
data={
'AUD/USD': [1.72,1.74,np.nan,168,1.75,1.71,],
'EUR/AUD': [0.62,0.63,0.59,0.64,np.nan,0.61,],}
index = ['2022-10-1','2022-10-2','2022-10-3','2032-10-4','2022-10-7','2022-10-8']
df =pd.DataFrame(data,index)
 
sel_q1=['2022-10-1','2022-10-7']
q1=df.loc[sel_q1]
print(q1)
 
print('\n\n')
 
(start_q2,stop_q2)=(0,2)
q2=df.iloc[start_q2:stop_q2]
print(q2)
 
print('\n\n')
 
(start_q3,stop_q3)=(0,2)
q3=df[start_q3:stop_q3]
print(q3)
 
print('\n\n')
 
row_sel_q4=['2022-10-1','2022-10-2']
col_sel_q4=['AUD/USD']
q4=df.loc[row_sel_q4,col_sel_q4]
print(q4)