matplotlib issue: how to erase this one? - pandas

Question

import maplotlib.pyplot as plt
import pandas as pd
df = pd.DataFrame(np.random.randn(30,3)*100+1000,
index=pd.date_range(start='2018-09-01', periods=30, freq='D'),
columns=['1', '2', 3'])
df[:5].plot.bar()
a Seeing the graph, each x label has '00:00:00', which is unnecessary.
So I tried to delete these by writing this code.
df[:5].plot.bar(x=df[:5].index.date
But it has an error like this.
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-52-92dd89374fec> in <module>
----> 1 df[:5].plot.bar(x=df[:5].index.date, stacked=True)
~\anaconda3\lib\site-packages\pandas\plotting\_core.py in bar(self, x, y, **kwargs)
1001 >>> ax = df.plot.bar(x='lifespan', rot=0)
1002 """
-> 1003 return self(kind="bar", x=x, y=y, **kwargs)
1004
1005 def barh(self, x=None, y=None, **kwargs):
~\anaconda3\lib\site-packages\pandas\plotting\_core.py in __call__(self, *args, **kwargs)
810 if is_integer(x) and not data.columns.holds_integer():
811 x = data_cols[x]
--> 812 elif not isinstance(data[x], ABCSeries):
813 raise ValueError("x must be a label or position")
814 data = data.set_index(x)
~\anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key)
2804 if is_iterator(key):
2805 key = list(key)
-> 2806 indexer = self.loc._get_listlike_indexer(key, axis=1, raise_missing=True)[1]
2807
2808 # take() does not accept boolean indexers
~\anaconda3\lib\site-packages\pandas\core\indexing.py in _get_listlike_indexer(self, key, axis, raise_missing)
1550 keyarr, indexer, new_indexer = ax._reindex_non_unique(keyarr)
1551
-> 1552 self._validate_read_indexer(
1553 keyarr, indexer, o._get_axis_number(axis), raise_missing=raise_missing
1554 )
~\anaconda3\lib\site-packages\pandas\core\indexing.py in _validate_read_indexer(self, key, indexer, axis, raise_missing)
1638 if missing == len(indexer):
1639 axis_name = self.obj._get_axis_name(axis)
-> 1640 raise KeyError(f"None of [{key}] are in the [{axis_name}]")
1641
1642 # We (temporarily) allow for some missing keys with .loc, except in
KeyError: "None of [Index([2018-09-01, 2018-09-02, 2018-09-03, 2018-09-04, 2018-09-05], dtype='object')] are in the [columns]"
What's the problem?? I just followed the book, but it did come out.

Answer 1

You can change index values before selecting first 5 rows:
df.index = df.index.date
df[:5].plot.bar()
Or:
df.rename(lambda x: x.date())[:5].plot.bar()