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Date/Datetime of Matplotlib not compatible with those of Pandas/Python3? [on hold]

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1

$begingroup$

Is Datetime in Matplotlib different from that of the Datetime used in Pandas or Python3? Does it need to be explicitly converted using Matplotlib functions such as date2num?

Background:

matplotlib.dates says it uses floating point from 0001-01-01 UTC.

Matplotlib represents dates using floating point numbers specifying
the number of days since 0001-01-01 UTC, plus 1. For example,
0001-01-01, 06:00 is 1.25, not 0.25. Values < 1, i.e. dates before
0001-01-01 UTC are not supported.

Python Data Visualization with Matplotlib says:

we need to convert the values to float numbers supported by Matplotlib.

from matplotlib.dates import date2num
import pandas as pd

# Convert Date column from string to Python datetime object,
# then to float number that is supported by Matplotlib.
stock_df["Datetime"] = date2num(pd.to_datetime(stock_df["Date"], format="%Y-%m-%d").tolist())

matplotlib

share|improve this question

edited yesterday

Ethan

576222

asked 2 days ago

monmon

1123

$endgroup$

put on hold as off-topic by Mark.F, Siong Thye Goh, Ethan, Kiritee Gak, n1k31t4 yesterday

This question appears to be off-topic. The users who voted to close gave this specific reason:

• "This question does not appear to be about data science, within the scope defined in the help center." – Mark.F, Siong Thye Goh, Ethan, Kiritee Gak

If this question can be reworded to fit the rules in the help center, please edit the question.

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  This question should be migrated to StackOverflow.
  $endgroup$
  – n1k31t4
  yesterday
  

  
  
  
  

add a comment | 

1

$begingroup$

Is Datetime in Matplotlib different from that of the Datetime used in Pandas or Python3? Does it need to be explicitly converted using Matplotlib functions such as date2num?

Background:

matplotlib.dates says it uses floating point from 0001-01-01 UTC.

Matplotlib represents dates using floating point numbers specifying
the number of days since 0001-01-01 UTC, plus 1. For example,
0001-01-01, 06:00 is 1.25, not 0.25. Values < 1, i.e. dates before
0001-01-01 UTC are not supported.

Python Data Visualization with Matplotlib says:

we need to convert the values to float numbers supported by Matplotlib.

from matplotlib.dates import date2num
import pandas as pd

# Convert Date column from string to Python datetime object,
# then to float number that is supported by Matplotlib.
stock_df["Datetime"] = date2num(pd.to_datetime(stock_df["Date"], format="%Y-%m-%d").tolist())

matplotlib

share|improve this question

edited yesterday

Ethan

576222

asked 2 days ago

monmon

1123

$endgroup$

put on hold as off-topic by Mark.F, Siong Thye Goh, Ethan, Kiritee Gak, n1k31t4 yesterday

This question appears to be off-topic. The users who voted to close gave this specific reason:

• "This question does not appear to be about data science, within the scope defined in the help center." – Mark.F, Siong Thye Goh, Ethan, Kiritee Gak

If this question can be reworded to fit the rules in the help center, please edit the question.

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  This question should be migrated to StackOverflow.
  $endgroup$
  – n1k31t4
  yesterday
  

  
  
  
  

add a comment | 

$begingroup$

Is Datetime in Matplotlib different from that of the Datetime used in Pandas or Python3? Does it need to be explicitly converted using Matplotlib functions such as date2num?

Background:

matplotlib.dates says it uses floating point from 0001-01-01 UTC.

Matplotlib represents dates using floating point numbers specifying
the number of days since 0001-01-01 UTC, plus 1. For example,
0001-01-01, 06:00 is 1.25, not 0.25. Values < 1, i.e. dates before
0001-01-01 UTC are not supported.

Python Data Visualization with Matplotlib says:

we need to convert the values to float numbers supported by Matplotlib.

from matplotlib.dates import date2num
import pandas as pd

# Convert Date column from string to Python datetime object,
# then to float number that is supported by Matplotlib.
stock_df["Datetime"] = date2num(pd.to_datetime(stock_df["Date"], format="%Y-%m-%d").tolist())

matplotlib

share|improve this question

edited yesterday

Ethan

576222

asked 2 days ago

monmon

1123

$endgroup$

from matplotlib.dates import date2num
import pandas as pd

# Convert Date column from string to Python datetime object,
# then to float number that is supported by Matplotlib.
stock_df["Datetime"] = date2num(pd.to_datetime(stock_df["Date"], format="%Y-%m-%d").tolist())

share|improve this question

edited yesterday

Ethan

576222

asked 2 days ago

monmon

1123

share|improve this question

edited yesterday

Ethan

576222

asked 2 days ago

monmon

1123

edited yesterday

Ethan

576222

edited yesterday

Ethan

576222

asked 2 days ago

monmon

1123

asked 2 days ago

monmon

1123