Use pandas timedelta64 as x-axis in matplotlib
0
I have a numpy array with a dtype of timedelta64[ns]. However, using this as the x-axis in a matplotlib plot comes out with labels 4.320, 4.325, 4.330, etc.
It seems as if matplotlib can't properly display timedelta64, how can I convert it to datetime.timedelta?
Sample time: 12:00:00.08012
printing arr[2] returns 0 days 12:00:00.08012
x = tbl.time
f, ax = plt.subplots(2, sharex=True)
ax[0].plot(x, tbl.column, label='test', color='red')
ax[1].plot(x, tbl.column2, label='test2', color='blue')
plt.show()
python numpy matplotlib
asked Nov 23 '18 at 18:41
Supes38Supes38
188
|
show 2 more comments
0
I have a numpy array with a dtype of timedelta64[ns]. However, using this as the x-axis in a matplotlib plot comes out with labels 4.320, 4.325, 4.330, etc.
It seems as if matplotlib can't properly display timedelta64, how can I convert it to datetime.timedelta?
Sample time: 12:00:00.08012
printing arr[2] returns 0 days 12:00:00.08012
x = tbl.time
f, ax = plt.subplots(2, sharex=True)
ax[0].plot(x, tbl.column, label='test', color='red')
ax[1].plot(x, tbl.column2, label='test2', color='blue')
plt.show()
python numpy matplotlib
asked Nov 23 '18 at 18:41
Supes38Supes38
188
How does 4.320 correspond to 12:00:00.08012 ?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:26
No idea, the chart shows up with those labels and the list is 4746 elements long from 12:00:00 to 12:00:05.
– Supes38
Nov 23 '18 at 19:37
Can you define the array in your question, to make all of this unambiguous, likex = np.array(...),y = ...,plt.plot(x,y)?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:45
I've added a sample, please check original post
– Supes38
Nov 23 '18 at 20:00
Doesn't that just shift the question to whattblis? What do I need to type into my editor to see the same result you are asking about here?
– ImportanceOfBeingErnest
Nov 23 '18 at 20:07
|
show 2 more comments
0
0
0
I have a numpy array with a dtype of timedelta64[ns]. However, using this as the x-axis in a matplotlib plot comes out with labels 4.320, 4.325, 4.330, etc.
It seems as if matplotlib can't properly display timedelta64, how can I convert it to datetime.timedelta?
Sample time: 12:00:00.08012
printing arr[2] returns 0 days 12:00:00.08012
x = tbl.time
f, ax = plt.subplots(2, sharex=True)
ax[0].plot(x, tbl.column, label='test', color='red')
ax[1].plot(x, tbl.column2, label='test2', color='blue')
plt.show()
python numpy matplotlib
asked Nov 23 '18 at 18:41
Supes38Supes38
188
I have a numpy array with a dtype of timedelta64[ns]. However, using this as the x-axis in a matplotlib plot comes out with labels 4.320, 4.325, 4.330, etc.
It seems as if matplotlib can't properly display timedelta64, how can I convert it to datetime.timedelta?
Sample time: 12:00:00.08012
printing arr[2] returns 0 days 12:00:00.08012
x = tbl.time
f, ax = plt.subplots(2, sharex=True)
ax[0].plot(x, tbl.column, label='test', color='red')
ax[1].plot(x, tbl.column2, label='test2', color='blue')
plt.show()
python numpy matplotlib
python numpy matplotlib
asked Nov 23 '18 at 18:41
Supes38Supes38
188
asked Nov 23 '18 at 18:41
Supes38Supes38
188
edited Nov 23 '18 at 19:59
Supes38
asked Nov 23 '18 at 18:41
Supes38Supes38
188
asked Nov 23 '18 at 18:41
Supes38Supes38
188
asked Nov 23 '18 at 18:41
Supes38Supes38
188
188
How does 4.320 correspond to 12:00:00.08012 ?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:26
No idea, the chart shows up with those labels and the list is 4746 elements long from 12:00:00 to 12:00:05.
– Supes38
Nov 23 '18 at 19:37
Can you define the array in your question, to make all of this unambiguous, likex = np.array(...),y = ...,plt.plot(x,y)?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:45
I've added a sample, please check original post
– Supes38
Nov 23 '18 at 20:00
Doesn't that just shift the question to whattblis? What do I need to type into my editor to see the same result you are asking about here?
– ImportanceOfBeingErnest
Nov 23 '18 at 20:07
|
show 2 more comments
How does 4.320 correspond to 12:00:00.08012 ?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:26
No idea, the chart shows up with those labels and the list is 4746 elements long from 12:00:00 to 12:00:05.
– Supes38
Nov 23 '18 at 19:37
Can you define the array in your question, to make all of this unambiguous, likex = np.array(...),y = ...,plt.plot(x,y)?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:45
I've added a sample, please check original post
– Supes38
Nov 23 '18 at 20:00
Doesn't that just shift the question to whattblis? What do I need to type into my editor to see the same result you are asking about here?
– ImportanceOfBeingErnest
Nov 23 '18 at 20:07
How does 4.320 correspond to 12:00:00.08012 ?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:26
How does 4.320 correspond to 12:00:00.08012 ?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:26
No idea, the chart shows up with those labels and the list is 4746 elements long from 12:00:00 to 12:00:05.
– Supes38
Nov 23 '18 at 19:37
No idea, the chart shows up with those labels and the list is 4746 elements long from 12:00:00 to 12:00:05.
– Supes38
Nov 23 '18 at 19:37
Can you define the array in your question, to make all of this unambiguous, like
x = np.array(...), y = ..., plt.plot(x,y)?– ImportanceOfBeingErnest
Nov 23 '18 at 19:45
Can you define the array in your question, to make all of this unambiguous, like
x = np.array(...), y = ..., plt.plot(x,y)?– ImportanceOfBeingErnest
Nov 23 '18 at 19:45
I've added a sample, please check original post
– Supes38
Nov 23 '18 at 20:00
I've added a sample, please check original post
– Supes38
Nov 23 '18 at 20:00
Doesn't that just shift the question to what
tbl is? What do I need to type into my editor to see the same result you are asking about here?– ImportanceOfBeingErnest
Nov 23 '18 at 20:07
Doesn't that just shift the question to what
tbl is? What do I need to type into my editor to see the same result you are asking about here?– ImportanceOfBeingErnest
Nov 23 '18 at 20:07
|
show 2 more comments
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How does 4.320 correspond to 12:00:00.08012 ?
– ImportanceOfBeingErnest
Nov 23 '18 at 19:26
No idea, the chart shows up with those labels and the list is 4746 elements long from 12:00:00 to 12:00:05.
– Supes38
Nov 23 '18 at 19:37
Can you define the array in your question, to make all of this unambiguous, like
x = np.array(...),y = ...,plt.plot(x,y)?– ImportanceOfBeingErnest
Nov 23 '18 at 19:45
I've added a sample, please check original post
– Supes38
Nov 23 '18 at 20:00
Doesn't that just shift the question to what
tblis? What do I need to type into my editor to see the same result you are asking about here?– ImportanceOfBeingErnest
Nov 23 '18 at 20:07