diff --git a/pandas/plotting/_matplotlib/timeseries.py b/pandas/plotting/_matplotlib/timeseries.py
index f3fcb090e9883..a5ff25825009c 100644
--- a/pandas/plotting/_matplotlib/timeseries.py
+++ b/pandas/plotting/_matplotlib/timeseries.py
@@ -270,6 +270,13 @@ def _get_index_freq(data):
             weekdays = np.unique(data.index.dayofweek)
             if (5 in weekdays) or (6 in weekdays):
                 freq = None
+    # This is a hack introduced to avoid tick resolution adjustment issue -
+    # Locators off by one day #24784
+        elif freq == "D":
+            freq = None
+    elif freq.name == "D":
+        freq = None
+    # hack logic end  - Locators off by one day #24784
     return freq
 
 
diff --git a/pandas/tests/plotting/common.py b/pandas/tests/plotting/common.py
index 5a591f72d7361..dae126350df6d 100644
--- a/pandas/tests/plotting/common.py
+++ b/pandas/tests/plotting/common.py
@@ -556,6 +556,35 @@ def _check_plot_works(f, filterwarnings="always", **kwargs):
 
         return ret
 
+def _check_plot_works_with_continuous_dates(f, filterwarnings="always", **kwargs):
+    ''' first version of the test for - BUG 24784'''
+    import matplotlib.pyplot as plt
+    import matplotlib.dates as mdates
+
+    ret = None
+    with warnings.catch_warnings():
+        warnings.simplefilter(filterwarnings)
+        try:
+            try:
+                fig = kwargs["figure"]
+            except KeyError:
+                fig = plt.gcf()
+
+            plt.clf()
+
+            ax = kwargs.get("ax", fig.add_subplot(211))  # noqa
+            ret = f(**kwargs)
+            ret.xaxis.set_major_locator(mdates.DayLocator())
+            ret.xaxis.set_major_formatter(mdates.DateFormatter("\n%b%d"))
+
+            assert_is_valid_plot_return_object(ret)
+
+            with ensure_clean(return_filelike=True) as path:
+                plt.savefig(path)
+        finally:
+            tm.close(fig)
+
+        return ret
 
 def curpath():
     pth, _ = os.path.split(os.path.abspath(__file__))
diff --git a/pandas/tests/plotting/test_series.py b/pandas/tests/plotting/test_series.py
index 111c3a70fc09c..7ee0172b2c924 100644
--- a/pandas/tests/plotting/test_series.py
+++ b/pandas/tests/plotting/test_series.py
@@ -14,7 +14,7 @@
 
 import pandas as pd
 from pandas import DataFrame, Series, date_range
-from pandas.tests.plotting.common import TestPlotBase, _check_plot_works
+from pandas.tests.plotting.common import TestPlotBase, _check_plot_works, _check_plot_works_with_continuous_dates
 import pandas.util.testing as tm
 
 import pandas.plotting as plotting
@@ -731,6 +731,28 @@ def test_dup_datetime_index_plot(self):
         s = Series(values, index=index)
         _check_plot_works(s.plot)
 
+    @pytest.mark.slow
+    def test_continuous_dates(self):
+        s = Series(np.arange(10), name="x")
+        s_err = np.random.randn(10)
+
+        ix = date_range("1/1/2018", "1/10/2018", freq="D")
+        ts = Series(np.arange(10), index=ix, name="x")
+        ts_err = Series(np.random.randn(10), index=ix)
+        td_err = DataFrame(randn(10, 2), index=ix, columns=["x", "y"])
+        ax = _check_plot_works_with_continuous_dates(ts.plot, yerr=ts_err)
+
+        self._check_text_labels(ax.get_xticklabels(), ["\nJan01", "\nJan02", "\nJan03", "\nJan04", "\nJan05",
+                                                       "\nJan06", "\nJan07", "\nJan08", "\nJan09", "\nJan10"])
+
+        # check incorrect lengths and types
+        with pytest.raises(ValueError):
+            s.plot(yerr=np.arange(11))
+
+        s_err = ["zzz"] * 10
+        with pytest.raises(TypeError):
+            s.plot(yerr=s_err)
+
     @pytest.mark.slow
     def test_errorbar_plot(self):