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


Pandas df - FacetGrid - Need help with plottingHow to plot a 3-axis bar chart with matplotlib (and pandas + jupyter)How to create a historical timeline using Pandas Dataframe and matplotlibMatplotlib — TypeError: 'module' object is not callableggplot (in R)/matplotlib (in Python) with linear model?Is there a way to Label/Annotate My Bubble Plot (Scatter plot with a z-axis) on matplotlib?













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











$endgroup$



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















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











$endgroup$



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













1












1








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











$endgroup$




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




matplotlib






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited yesterday









Ethan

576222




576222










asked 2 days ago









monmon

1123




1123




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.







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
















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















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




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










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