Closed
Description
Bug report
Bug summary
ax.bar throws error when x-axis is datetime, behaviour has changed between current master (throws error) and version 3.0.2 (no error)
Code for reproduction
import pandas as pd
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(20,10));
ax = fig.gca();
df = pd.DataFrame({'year':[2018,2018,2018],'month':[1,1,1], 'day':[1,2,3], 'value':[1,2,3]})
df['date'] = pd.to_datetime(df[['year', 'month', 'day']])
ax.bar(df['date'], df['value'], width=10,align='center')Actual outcome
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-12-500999fd6ea9> in <module>
8 df['date'] = pd.to_datetime(df[['year', 'month', 'day']])
9
---> 10 ax.bar(df['date'], df['value'], width=10,align='center')
~/matplotlib/lib/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
1515 def inner(ax, *args, data=None, **kwargs):
1516 if data is None:
-> 1517 return func(ax, *map(sanitize_sequence, args), **kwargs)
1518
1519 bound = new_sig.bind(ax, *args, **kwargs)
~/matplotlib/lib/matplotlib/axes/_axes.py in bar(self, x, height, width, bottom, align, **kwargs)
2230 x0 = x
2231 x = np.asarray(self.convert_xunits(x))
-> 2232 width = self._convert_dx(width, x0, x, self.convert_xunits)
2233 if xerr is not None:
2234 xerr = self._convert_dx(xerr, x0, x, self.convert_xunits)
~/matplotlib/lib/matplotlib/axes/_axes.py in _convert_dx(dx, x0, xconv, convert)
2055 dx = [dx]
2056 delist = True
-> 2057 dx = [convert(x0 + ddx) - x for ddx in dx]
2058 if delist:
2059 dx = dx[0]
~/matplotlib/lib/matplotlib/axes/_axes.py in <listcomp>(.0)
2055 dx = [dx]
2056 delist = True
-> 2057 dx = [convert(x0 + ddx) - x for ddx in dx]
2058 if delist:
2059 dx = dx[0]
pandas/_libs/tslibs/timestamps.pyx in pandas._libs.tslibs.timestamps._Timestamp.__add__()
ValueError: Cannot add integral value to Timestamp without freq.
Expected outcome
Matplotlib version
built matplotlib from source