BUG: Error when using usecols with names in read_csv
### 

- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [x] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
import pandas as pd

# pd.show_versions()

df = pd.DataFrame({'X': [1, 2, 3],
 'V1': [34,  6, 5],
 'V2': [4, 7, 3],
 'V3': [ 5,  56, 2]})

df.to_csv('df1.csv',index=False)

## Now read.

df_1 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0)
print(df_1)
df_2 = pd.read_csv('df1.csv',usecols = [0,1,3],header = 0,names  = ['T','V1','V3'])
print(df_2)
df_3 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0,names  = ['T','y1','y3'])
print(df_3)
```


### Issue Description

When importing a csv into a dataframe, I want to import certain columns and rename some of them. See example below. 

```
import pandas as pd

# pd.show_versions()

df = pd.DataFrame({'X': [1, 2, 3],
 'V1': [34,  6, 5],
 'V2': [4, 7, 3],
 'V3': [ 5,  56, 2]})

df.to_csv('df1.csv',index=False)

## Now read.

df_1 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0)
print(df_1)
df_2 = pd.read_csv('df1.csv',usecols = [0,1,3],header = 0,names  = ['T','V1','V3'])
print(df_2)
df_3 = pd.read_csv('df1.csv',usecols = ['X','V1','V3'],header = 0,names  = ['T','y1','y3'])
print(df_3)
```

When doing this, I get the error message that "ValueError: Usecols do not match columns, columns expected but not found: ['X']"

The code works when I don't use the names option.
The code also works when I supply the column indices to usecols instead of column names in the csv file. This is prone to human error, so I'd like to avoid it.

### Expected Behavior

Expect df_3 to be created with new column names.

### Installed Versions

<details>

INSTALLED VERSIONS
------------------
commit           : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5
python           : 3.9.7.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.19042
machine          : AMD64
processor        : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : English_United States.1252

pandas           : 1.3.4
numpy            : 1.21.3
pytz             : 2021.3
dateutil         : 2.8.2
pip              : 21.3
setuptools       : 57.4.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 3.0.2
IPython          : 7.28.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
