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How to plot date times over a day - Matplotlib
How to return only the Date from a SQL Server DateTime datatypeHow do you change the size of figures drawn with matplotlib?How to get the current time in PythonHow to subtract a day from a date?How can I make a time delay in Python?Add days to JavaScript DateSave plot to image file instead of displaying it using Matplotlib“Large data” work flows using pandasHow to iterate over rows in a DataFrame in Pandas?How to make IPython notebook matplotlib plot inline
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I am trying to import and plot date times that go past midnight. The input dataset did not have date times attached so I had to reformat the column so that timestamps after midnight carried over to the day. This is drawing an error.
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Error:
ValueError: time data '0/1/1900 8:10:00' does not match format '%d/%m/%Y %H:%M:%S' (match)
I understand these don't match. But I'm not sure what would be the most efficient workaround. Could I add a day? Or is there a better way to just input timestamps and add 24 hours to timestamps after midnight?
python pandas datetime matplotlib plot
add a comment |
I am trying to import and plot date times that go past midnight. The input dataset did not have date times attached so I had to reformat the column so that timestamps after midnight carried over to the day. This is drawing an error.
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Error:
ValueError: time data '0/1/1900 8:10:00' does not match format '%d/%m/%Y %H:%M:%S' (match)
I understand these don't match. But I'm not sure what would be the most efficient workaround. Could I add a day? Or is there a better way to just input timestamps and add 24 hours to timestamps after midnight?
python pandas datetime matplotlib plot
if that is your real data the issue seems to be the zeroth January.
– erkandem
Mar 23 at 9:13
@erkandem, I understand this doesn't match. I had to create the date times via formatting. This is the output I get.
– jonboy
Mar 23 at 9:40
add a comment |
I am trying to import and plot date times that go past midnight. The input dataset did not have date times attached so I had to reformat the column so that timestamps after midnight carried over to the day. This is drawing an error.
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Error:
ValueError: time data '0/1/1900 8:10:00' does not match format '%d/%m/%Y %H:%M:%S' (match)
I understand these don't match. But I'm not sure what would be the most efficient workaround. Could I add a day? Or is there a better way to just input timestamps and add 24 hours to timestamps after midnight?
python pandas datetime matplotlib plot
I am trying to import and plot date times that go past midnight. The input dataset did not have date times attached so I had to reformat the column so that timestamps after midnight carried over to the day. This is drawing an error.
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Error:
ValueError: time data '0/1/1900 8:10:00' does not match format '%d/%m/%Y %H:%M:%S' (match)
I understand these don't match. But I'm not sure what would be the most efficient workaround. Could I add a day? Or is there a better way to just input timestamps and add 24 hours to timestamps after midnight?
python pandas datetime matplotlib plot
python pandas datetime matplotlib plot
asked Mar 23 at 8:55
jonboyjonboy
175115
175115
if that is your real data the issue seems to be the zeroth January.
– erkandem
Mar 23 at 9:13
@erkandem, I understand this doesn't match. I had to create the date times via formatting. This is the output I get.
– jonboy
Mar 23 at 9:40
add a comment |
if that is your real data the issue seems to be the zeroth January.
– erkandem
Mar 23 at 9:13
@erkandem, I understand this doesn't match. I had to create the date times via formatting. This is the output I get.
– jonboy
Mar 23 at 9:40
if that is your real data the issue seems to be the zeroth January.
– erkandem
Mar 23 at 9:13
if that is your real data the issue seems to be the zeroth January.
– erkandem
Mar 23 at 9:13
@erkandem, I understand this doesn't match. I had to create the date times via formatting. This is the output I get.
– jonboy
Mar 23 at 9:40
@erkandem, I understand this doesn't match. I had to create the date times via formatting. This is the output I get.
– jonboy
Mar 23 at 9:40
add a comment |
1 Answer
1
active
oldest
votes
The problem is that "0/1/1900" is not a correctly formatted date ("1/1/1900" would be fine). We can increment the day of the month by one:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = ['/'.join([str(int(x.split('/')[0])+1)] + x.split('/')[1:]) for x in d['Time']]
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Output:
Thanks @perl. But I'm hoping to use thedate time
toplot
values past midnight last. So the value value should be at8:00:00
and the last one should be at01:00:00
– jonboy
Mar 23 at 9:42
OK, I see what you mean. How do you create the dates? Can you change it to start from '1/1/1900' instead of '0/1/1900'?
– perl
Mar 23 at 9:56
@jonboy: I've updated with the line of code that adds one day to your dates in string format before converting to datetimes. Would that work for you?
– perl
Mar 23 at 10:10
add a comment |
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1 Answer
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1 Answer
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active
oldest
votes
active
oldest
votes
active
oldest
votes
The problem is that "0/1/1900" is not a correctly formatted date ("1/1/1900" would be fine). We can increment the day of the month by one:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = ['/'.join([str(int(x.split('/')[0])+1)] + x.split('/')[1:]) for x in d['Time']]
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Output:
Thanks @perl. But I'm hoping to use thedate time
toplot
values past midnight last. So the value value should be at8:00:00
and the last one should be at01:00:00
– jonboy
Mar 23 at 9:42
OK, I see what you mean. How do you create the dates? Can you change it to start from '1/1/1900' instead of '0/1/1900'?
– perl
Mar 23 at 9:56
@jonboy: I've updated with the line of code that adds one day to your dates in string format before converting to datetimes. Would that work for you?
– perl
Mar 23 at 10:10
add a comment |
The problem is that "0/1/1900" is not a correctly formatted date ("1/1/1900" would be fine). We can increment the day of the month by one:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = ['/'.join([str(int(x.split('/')[0])+1)] + x.split('/')[1:]) for x in d['Time']]
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Output:
Thanks @perl. But I'm hoping to use thedate time
toplot
values past midnight last. So the value value should be at8:00:00
and the last one should be at01:00:00
– jonboy
Mar 23 at 9:42
OK, I see what you mean. How do you create the dates? Can you change it to start from '1/1/1900' instead of '0/1/1900'?
– perl
Mar 23 at 9:56
@jonboy: I've updated with the line of code that adds one day to your dates in string format before converting to datetimes. Would that work for you?
– perl
Mar 23 at 10:10
add a comment |
The problem is that "0/1/1900" is not a correctly formatted date ("1/1/1900" would be fine). We can increment the day of the month by one:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = ['/'.join([str(int(x.split('/')[0])+1)] + x.split('/')[1:]) for x in d['Time']]
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Output:
The problem is that "0/1/1900" is not a correctly formatted date ("1/1/1900" would be fine). We can increment the day of the month by one:
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as dates
d = (
'Time' : ['0/1/1900 8:10:00', '0/1/1900 12:10:00', '0/1/1900 22:10:00', '1/1/1900 1:10:00'],
'Value' : [1,2,3,4],
)
df = pd.DataFrame(data = d)
df['Time'] = ['/'.join([str(int(x.split('/')[0])+1)] + x.split('/')[1:]) for x in d['Time']]
df['Time'] = pd.to_datetime(df['Time'], format='%d/%m/%Y %H:%M:%S')
df.plot(x='Time', y='Value')
formatter = dates.DateFormatter('%Y-%m-%d %H:%M:%S')
plt.gcf().axes[0].xaxis.set_major_formatter(formatter)
Output:
edited Mar 23 at 10:08
answered Mar 23 at 9:15
perlperl
2,111417
2,111417
Thanks @perl. But I'm hoping to use thedate time
toplot
values past midnight last. So the value value should be at8:00:00
and the last one should be at01:00:00
– jonboy
Mar 23 at 9:42
OK, I see what you mean. How do you create the dates? Can you change it to start from '1/1/1900' instead of '0/1/1900'?
– perl
Mar 23 at 9:56
@jonboy: I've updated with the line of code that adds one day to your dates in string format before converting to datetimes. Would that work for you?
– perl
Mar 23 at 10:10
add a comment |
Thanks @perl. But I'm hoping to use thedate time
toplot
values past midnight last. So the value value should be at8:00:00
and the last one should be at01:00:00
– jonboy
Mar 23 at 9:42
OK, I see what you mean. How do you create the dates? Can you change it to start from '1/1/1900' instead of '0/1/1900'?
– perl
Mar 23 at 9:56
@jonboy: I've updated with the line of code that adds one day to your dates in string format before converting to datetimes. Would that work for you?
– perl
Mar 23 at 10:10
Thanks @perl. But I'm hoping to use the
date time
to plot
values past midnight last. So the value value should be at 8:00:00
and the last one should be at 01:00:00
– jonboy
Mar 23 at 9:42
Thanks @perl. But I'm hoping to use the
date time
to plot
values past midnight last. So the value value should be at 8:00:00
and the last one should be at 01:00:00
– jonboy
Mar 23 at 9:42
OK, I see what you mean. How do you create the dates? Can you change it to start from '1/1/1900' instead of '0/1/1900'?
– perl
Mar 23 at 9:56
OK, I see what you mean. How do you create the dates? Can you change it to start from '1/1/1900' instead of '0/1/1900'?
– perl
Mar 23 at 9:56
@jonboy: I've updated with the line of code that adds one day to your dates in string format before converting to datetimes. Would that work for you?
– perl
Mar 23 at 10:10
@jonboy: I've updated with the line of code that adds one day to your dates in string format before converting to datetimes. Would that work for you?
– perl
Mar 23 at 10:10
add a comment |
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if that is your real data the issue seems to be the zeroth January.
– erkandem
Mar 23 at 9:13
@erkandem, I understand this doesn't match. I had to create the date times via formatting. This is the output I get.
– jonboy
Mar 23 at 9:40