import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

df = pd.read_csv('My_df')

for x in df.columns:
    if 'datetime' in df[x].ftype:
    dates = df[x].map(lambda x: x.strftime('%d-%m-%Y'))
    dfdates = pd.DataFrame({x: dates, 'Count': [1 for x in range(0, len(dates))]})
    dfdates = dfdates.groupby(x)['Count'].size().reset_index()

    fig, ax = plt.subplots(figsize=(15, 7))
    ax.bar(dfdates.index, dfdates['Count'])
    ax.xaxis.set_major_locator(mdates.WeekdayLocator())
    ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %d'))
    ax.set_title(x)
    ax.set_ylabel('Count')
    ax.set_xlabel('Date')
    plt.show()