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Improper conversion of Pandas-Arrow date to datetime fails #4171

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Improper conversion of Pandas-Arrow date to datetime fails#4171
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Description

@s-banach
s-banach
opened on Apr 20, 2023

The Issue

Consider this branch of code:

plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py

Line 103 in 956ab2c

elifv.dtype.kind=="M":

It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.

This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.

You should probably just use v.to_numpy() instead.

Reproducing Code

The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.

importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()

Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:

fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())

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Improper conversion of Pandas-Arrow date to datetime fails · Issue #4171 · plotly/plotly.py · GitHub
      Skip to content
      Improper conversion of Pandas-Arrow date to datetime fails #4171
      Closed
      Closed
      Improper conversion of Pandas-Arrow date to datetime fails#4171
      Labels
      P3backlogbugsomething broken
      Description
      @s-banach
      s-banach
      opened on Apr 20, 2023
      The Issue
      Consider this branch of code: 
      plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py
      
Line 103
in
956ab2c
      elifv.dtype.kind=="M": 
      It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.
      This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.
      You should probably just use v.to_numpy() instead.
      Reproducing Code
      The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.
      importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()
      Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:
      fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())
      Metadata
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var __re = new RegExp('^' + ".*" + '
Improper conversion of Pandas-Arrow date to datetime fails · Issue #4171 · plotly/plotly.py · GitHub
          Skip to content
          Improper conversion of Pandas-Arrow date to datetime fails #4171
          Closed
          Closed
          Improper conversion of Pandas-Arrow date to datetime fails#4171
          Labels
          P3backlogbugsomething broken
          Description
          @s-banach
          s-banach
          opened on Apr 20, 2023
          The Issue
          Consider this branch of code: 
          plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py
          
Line 103
in
956ab2c
          elifv.dtype.kind=="M": 
          It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.
          This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.
          You should probably just use v.to_numpy() instead.
          Reproducing Code
          The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.
          importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()
          Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:
          fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())
          Metadata
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            Labels
            P3backlogbugsomething broken
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Improper conversion of Pandas-Arrow date to datetime fails · Issue #4171 · plotly/plotly.py · GitHub
              Skip to content
              Improper conversion of Pandas-Arrow date to datetime fails #4171
              Closed
              Closed
              Improper conversion of Pandas-Arrow date to datetime fails#4171
              Labels
              P3backlogbugsomething broken
              Description
              @s-banach
              s-banach
              opened on Apr 20, 2023
              The Issue
              Consider this branch of code: 
              plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py
              
Line 103
in
956ab2c
              elifv.dtype.kind=="M": 
              It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.
              This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.
              You should probably just use v.to_numpy() instead.
              Reproducing Code
              The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.
              importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()
              Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:
              fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())
              Metadata
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                Labels
                P3backlogbugsomething broken
                Type
                No type
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                  None yet
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                  No branches or pull requests
                  Issue actions
                  
, 'i');
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'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
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try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Improper conversion of Pandas-Arrow date to datetime fails · Issue #4171 · plotly/plotly.py · GitHub
                  Skip to content
                  Improper conversion of Pandas-Arrow date to datetime fails #4171
                  Closed
                  Closed
                  Improper conversion of Pandas-Arrow date to datetime fails#4171
                  Labels
                  P3backlogbugsomething broken
                  Description
                  @s-banach
                  s-banach
                  opened on Apr 20, 2023
                  The Issue
                  Consider this branch of code: 
                  plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py
                  
Line 103
in
956ab2c
                  elifv.dtype.kind=="M": 
                  It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.
                  This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.
                  You should probably just use v.to_numpy() instead.
                  Reproducing Code
                  The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.
                  importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()
                  Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:
                  fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())
                  Metadata
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                    Labels
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                    No type
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                      No branches or pull requests
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, 'i');
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observer.observe(document.body, { childList: true, subtree: true });
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Improper conversion of Pandas-Arrow date to datetime fails · Issue #4171 · plotly/plotly.py · GitHub
                      Skip to content
                      Improper conversion of Pandas-Arrow date to datetime fails #4171
                      Closed
                      Closed
                      Improper conversion of Pandas-Arrow date to datetime fails#4171
                      Labels
                      P3backlogbugsomething broken
                      Description
                      @s-banach
                      s-banach
                      opened on Apr 20, 2023
                      The Issue
                      Consider this branch of code: 
                      plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py
                      
Line 103
in
956ab2c
                      elifv.dtype.kind=="M": 
                      It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.
                      This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.
                      You should probably just use v.to_numpy() instead.
                      Reproducing Code
                      The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.
                      importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()
                      Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:
                      fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())
                      Metadata
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                        Labels
                        P3backlogbugsomething broken
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, 'i');
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(function(){
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var __m = "*";
var __re = new RegExp('^' + ".*" + '
Improper conversion of Pandas-Arrow date to datetime fails · Issue #4171 · plotly/plotly.py · GitHub
                          Skip to content
                          Improper conversion of Pandas-Arrow date to datetime fails #4171
                          Closed
                          Closed
                          Improper conversion of Pandas-Arrow date to datetime fails#4171
                          Labels
                          P3backlogbugsomething broken
                          Description
                          @s-banach
                          s-banach
                          opened on Apr 20, 2023
                          The Issue
                          Consider this branch of code: 
                          plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py
                          
Line 103
in
956ab2c
                          elifv.dtype.kind=="M": 
                          It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.
                          This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.
                          You should probably just use v.to_numpy() instead.
                          Reproducing Code
                          The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.
                          importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()
                          Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:
                          fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())
                          Metadata
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                              No branches or pull requests
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, 'i');
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/* Fix common UI elements */
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filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
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e.preventDefault();
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applyDarkMode();
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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})();
Improper conversion of Pandas-Arrow date to datetime fails · Issue #4171 · plotly/plotly.py · GitHub
                              Skip to content
                              Improper conversion of Pandas-Arrow date to datetime fails #4171
                              Closed
                              Closed
                              Improper conversion of Pandas-Arrow date to datetime fails#4171
                              Labels
                              P3backlogbugsomething broken
                              Description
                              @s-banach
                              s-banach
                              opened on Apr 20, 2023
                              The Issue
                              Consider this branch of code: 
                              plotly.py/packages/python/plotly/_plotly_utils/basevalidators.py
                              
Line 103
in
956ab2c
                              elifv.dtype.kind=="M": 
                              It attempts to call v.dt.to_pydatetime() on a Series with any kind of date or time dtype.
                              This isn't correct, because a date dtype is different than a datetime dtype, see the comment from pandas maintainer @mroeschke on this issue: pandas-dev/pandas#52812. In other words, this is unsupported by pandas, and will continue to raise an error in the future.
                              You should probably just use v.to_numpy() instead.
                              Reproducing Code
                              The following code results in the error AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit', as a result of the above bug.
                              importdatetimeimportplotly.expressaspximportpolarsaspldf=pl.DataFrame(
{
"x": [datetime.date(2020, n, 1) forninrange(1, 13)],
"y": [3*n%13forninrange(1, 13)],
}
).to_pandas(use_pyarrow_extension_array=True)
fig=px.bar(data_frame=df, x="x", y="y")
fig.show()
                              Note that the following code works, by properly calling .to_numpy() and letting pandas figure out how to handle it:
                              fig=px.bar(x=df["x"].to_numpy(), y=df["y"].to_numpy())
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