Closed
Description
Bug report
Bug summary
Unable to plot bar graph. Plotting a line graph works fine.
Code for reproduction
from boto3.dynamodb.conditions import Key, Attr
import pandas as pd
import json
import decimal
import matplotlib.pyplot as plt
import matplotlib.dates as mdate
from datetime import datetime
def timestamp_to_datetime(raw):
return datetime.fromtimestamp(raw/1000)
df = pd.DataFrame(table.query(KeyConditionExpression=Key('partition_key').eq(name))['Items'])
df['date'] = df['timestamp'].apply(timestamp_to_datetime)
plt.figure(figsize=(20,10))
plt.bar(df['date'], df['activity'].values)
plt.show();Actual outcome
TypeError Traceback (most recent call last)
<ipython-input-13-f28db9680a8e> in <module>()
26
27 plt.figure(figsize=(20,10))
---> 28 plt.bar(df['date'], df['activity'].values)
c:\python27\lib\site-packages\matplotlib\pyplot.pyc in bar(*args, **kwargs)
2773 mplDeprecation)
2774 try:
-> 2775 ret = ax.bar(*args, **kwargs)
2776 finally:
2777 ax._hold = washold
c:\python27\lib\site-packages\matplotlib\__init__.pyc in inner(ax, *args, **kwargs)
1865 "the Matplotlib list!)" % (label_namer, func.__name__),
1866 RuntimeWarning, stacklevel=2)
-> 1867 return func(ax, *args, **kwargs)
1868
1869 inner.__doc__ = _add_data_doc(inner.__doc__,
c:\python27\lib\site-packages\matplotlib\axes\_axes.pyc in bar(self, *args, **kwargs)
2262 if align == 'center':
2263 if orientation == 'vertical':
-> 2264 left = x - width / 2
2265 bottom = y
2266 elif orientation == 'horizontal':
TypeError: ufunc subtract cannot use operands with types dtype('<M8[ns]') and dtype('float64')
Expected outcome
Expected: a plot of the (date, activity) in bar graph form. Changing plt.bar to plt.plot, as shown below, works perfectly fine:
from boto3.dynamodb.conditions import Key, Attr
import pandas as pd
import json
import decimal
import matplotlib.pyplot as plt
import matplotlib.dates as mdate
from datetime import datetime
def timestamp_to_datetime(raw):
return datetime.fromtimestamp(raw/1000)
df = pd.DataFrame(table.query(KeyConditionExpression=Key('partition_key').eq(name))['Items'])
df['date'] = df['timestamp'].apply(timestamp_to_datetime)
plt.figure(figsize=(20,10))
**plt.plot(df['date'], df['activity'].values)**
plt.show();
Matplotlib version
- Operating system: Windows 10
- Matplotlib version: 2.2.3
- Matplotlib backend (
print(matplotlib.get_backend())): module://ipykernel.pylab.backend_inline - Python version: 2.7