BUG: Misaligned columns from read_csv on Ecobee CVS
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

---

#### Code Sample, a copy-pastable example

```python
import pandas as pd
df = pd.read_csv("pdbug.csv", comment="#")
df.info()
print(df)
```
with `pdbug.csv` being this:
```csv
#,Thermostat,identifier,(REDACTED)
#,Thermostat,name,Downstairs
#,Start,date,2020-12-22
#,End,date,2020-12-30

Date,Time,System Setting,System Mode,Calendar Event,Program Mode,Cool Set Temp (F),Heat Set Temp (F),Current Temp (F),Current Humidity (%RH),Outdoor Temp (F),Wind Speed (km/h),Cool Stage 1 (sec),Heat Stage 1 (sec),Fan (sec),DM Offset,Thermostat Temperature (F),Thermostat Humidity (%RH),Study (F),Study2,Breakfast Nook (F),Breakfast Nook2
2020-12-22,02:55:00,heat,heatOff,,Sleep,85,61,67.4,40,30.8,0,0,0,0,,67.4,40,,,,,
2020-12-22,03:00:00,heat,heatOff,,Sleep,85,61,67.3,40,29.6,0,0,0,0,,67.3,40,,,,,
2020-12-22,03:05:00,heat,heatOff,,Sleep,85,61,67.2,40,29.6,0,0,0,180,,67.2,40,,,,,
2020-12-22,03:10:00,heat,heatOff,,Sleep,85,61,67.1,42,29.6,0,0,0,120,,67.1,42,,,,,
2020-12-22,03:15:00,heat,heatOff,,Sleep,85,61,67.1,40,29.6,0,0,0,0,,67.1,40,,,,,
2020-12-22,03:20:00,heat,heatOff,,Sleep,85,61,67,40,29.6,0,0,0,0,,67,40,,,,,
2020-12-22,03:25:00,heat,heatOff,,Sleep,85,61,67,40,29.6,0,0,0,0,,67,40,,,,,
2020-12-22,03:30:00,heat,heatOff,,Sleep,85,61,66.9,40,29,0,0,0,0,,66.9,40,,,,,
```
(a slight edit of a CSV file of HVAC system performance data downloaded from https://ecobee.com)
gives
```
<class 'pandas.core.frame.DataFrame'>
Index: 8 entries, 2020-12-22 to 2020-12-22
Data columns (total 22 columns):
 #   Column                      Non-Null Count  Dtype  
---  ------                      --------------  -----  
 0   Date                        8 non-null      object 
 1   Time                        8 non-null      object 
 2   System Setting              8 non-null      object 
 3   System Mode                 0 non-null      float64
 4   Calendar Event              8 non-null      object 
 5   Program Mode                8 non-null      int64  
 6   Cool Set Temp (F)           8 non-null      int64  
 7   Heat Set Temp (F)           8 non-null      float64
 8   Current Temp (F)            8 non-null      int64  
 9   Current Humidity (%RH)      8 non-null      float64
 10  Outdoor Temp (F)            8 non-null      int64  
 11  Wind Speed (km/h)           8 non-null      int64  
 12  Cool Stage 1 (sec)          8 non-null      int64  
 13  Heat Stage 1 (sec)          8 non-null      int64  
 14  Fan (sec)                   0 non-null      float64
 15  DM Offset                   8 non-null      float64
 16  Thermostat Temperature (F)  8 non-null      int64  
 17  Thermostat Humidity (%RH)   0 non-null      float64
 18  Study (F)                   0 non-null      float64
 19  Study2                      0 non-null      float64
 20  Breakfast Nook (F)          0 non-null      float64
 21  Breakfast Nook2             0 non-null      float64
dtypes: float64(10), int64(8), object(4)
memory usage: 1.4+ KB
                Date  Time System Setting  System Mode Calendar Event  Program Mode  Cool Set Temp (F)  Heat Set Temp (F)  Current Temp (F)  Current Humidity (%RH)  Outdoor Temp (F)  Wind Speed (km/h)  Cool Stage 1 (sec)  Heat Stage 1 (sec)  Fan (sec)  DM Offset  Thermostat Temperature (F)  Thermostat Humidity (%RH)  Study (F)  Study2  Breakfast Nook (F)  Breakfast Nook2
2020-12-22  02:55:00  heat        heatOff          NaN          Sleep            85                 61               67.4                40                    30.8                 0                  0                   0                   0        NaN       67.4                          40                        NaN        NaN     NaN                 NaN              NaN
2020-12-22  03:00:00  heat        heatOff          NaN          Sleep            85                 61               67.3                40                    29.6                 0                  0                   0                   0        NaN       67.3                          40                        NaN        NaN     NaN                 NaN              NaN
2020-12-22  03:05:00  heat        heatOff          NaN          Sleep            85                 61               67.2                40                    29.6                 0                  0                   0                 180        NaN       67.2                          40                        NaN        NaN     NaN                 NaN              NaN
2020-12-22  03:10:00  heat        heatOff          NaN          Sleep            85                 61               67.1                42                    29.6                 0                  0                   0                 120        NaN       67.1                          42                        NaN        NaN     NaN                 NaN              NaN
2020-12-22  03:15:00  heat        heatOff          NaN          Sleep            85                 61               67.1                40                    29.6                 0                  0                   0                   0        NaN       67.1                          40                        NaN        NaN     NaN                 NaN              NaN
2020-12-22  03:20:00  heat        heatOff          NaN          Sleep            85                 61               67.0                40                    29.6                 0                  0                   0                   0        NaN       67.0                          40                        NaN        NaN     NaN                 NaN              NaN
2020-12-22  03:25:00  heat        heatOff          NaN          Sleep            85                 61               67.0                40                    29.6                 0                  0                   0                   0        NaN       67.0                          40                        NaN        NaN     NaN                 NaN              NaN
2020-12-22  03:30:00  heat        heatOff          NaN          Sleep            85                 61               66.9                40                    29.0                 0                  0                   0                   0        NaN       66.9                          40                        NaN        NaN     NaN                 NaN              NaN
```

#### Problem description

Observe that the "Date" column absorbs both the date and time values provided, and that the "Time" column returend by read_csv contains data intended for the next column over ("System Setting"). The source CSV seems sane, but the `read_csv` output does not.

#### Output of ``pd.show_versions()``

<details>
INSTALLED VERSIONS
------------------
commit           : 3e89b4c4b1580aa890023fc550774e63d499da25
python           : 3.9.1.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.9.0-5-amd64
Version          : #1 SMP Debian 5.9.15-1 (2020-12-17)
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : de_DE.UTF-8
LOCALE           : de_DE.UTF-8

pandas           : 1.2.0
numpy            : 1.19.4
pytz             : 2020.4
dateutil         : 2.8.1
pip              : 20.3.1
setuptools       : 44.0.0
Cython           : 0.29.21
pytest           : 6.2.0
hypothesis       : None
sphinx           : 3.3.1
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : None
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : None
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
