def plot_daily_turnover_hist(transactions, positions,<EOL>ax=None, **kwargs):
if ax is None:<EOL><INDENT>ax = plt.gca()<EOL><DEDENT>turnover = txn.get_turnover(positions, transactions)<EOL>sns.distplot(turnover, ax=ax, **kwargs)<EOL>ax.set_title('<STR_LIT>')<EOL>ax.set_xlabel('<STR_LIT>')<EOL>return ax<EOL>
Plots a histogram of daily turnover rates.

Parameters
----------
transactions : pd.DataFrame
    Prices and amounts of executed trades. One row per trade.
     - See full explanation in tears.create_full_tear_sheet.
positions : pd.DataFrame
    Daily net position values.
     - See full explanation in tears.create_full_tear_sheet.
ax : matplotlib.Axes, optional
    Axes upon which to plot.
**kwargs, optional
    Passed to seaborn plotting function.

Returns
-------
ax : matplotlib.Axes
    The axes that were plotted on.