Hi, I am having trouble controlling tick labels for histogram-type plots. I have time series data, and would like to bin the data according to different time resolutions. If there is some way I can change the plotting approach, or the pandas dataframe so that I can have the x axis ticks from the top plot to be used in the bottom plot also, I would be very happy.

I am using hvplot 0.5.2.

```
import numpy as np
import pandas as pd
import hvplot.pandas
import holoviews as hv
from bokeh.models.formatters import DatetimeTickFormatter
# Create data frame
days = pd.date_range(start=pd.to_datetime('2001-01-01'), end=pd.to_datetime('2001-12-31'))
ncols = 5
columns = np.arange(ncols) + 1
data = np.random.rand(365, ncols)
df = pd.DataFrame(data, index=days, columns=columns)
df.index.name = 'time'
# Determine number of days where row mean is above 0.5
mean_above_midpoint = (df.agg('mean', axis=1) > 0.5).astype(int)
df['days_above_midpoint'] = mean_above_midpoint
df_weekly = df.resample('W').mean()
df_weekly['days_above_midpoint'] = df['days_above_midpoint'].resample('W').sum()
df_weekly.head()
formatter = DatetimeTickFormatter(months='%b')
columnLabels = [str(x) for x in columns]
lines = df_weekly.hvplot.line(x='time', y=columnLabels, title='Measurements', xformatter=formatter)
hist = df_weekly.hvplot.bar(x='time', y='days_above_midpoint', title='Days Above Midpoint', xformatter=formatter)
(lines + hist).cols(1)
```