PNDSPY1003

Element is not recognized

Message: < element > is not recognized, Pandas element is not recognized yet.

Category: Conversion error.

Description

This issue appears when there is a Pandas element that is not yet recognized by the SMA.

Scenarios

This issue can occur for different reasons, such as:

An element that does not exist in Pandas.
An element that was added in a Pandas version that the SMA does not yet support.
An internal error of the SMA when processing the element.

Scenario 1

Input

Below is an example of an element that does not exist in Pandas.

import pandas as pd

df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "Chicago"],
    }
)

df.non_existent_function()

Output

Since the element does not exist in Pandas, the tool adds the EWI on the output code.

import snowflake.snowpark.modin.pandas as pd

df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "Chicago"],
    }
)

#EWI: PNDSPY1003 => pandas.core.frame.DataFrame.non_existent_function is not yet recognized
df.non_existent_function()

Recommended fix

Check the Pandas documentation to verify if the element exists in Pandas.

If it is a valid Pandas element, please report that you encountered a conversion error on that particular element using the Report an Issue option in the SMA and include any additional information that you think may be helpful.

If it is not a valid Pandas element removed and use a valid Pandas function.

import snowflake.snowpark.modin.pandas as pd

df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "Chicago"],
    }
)

df.valid_existent_function()

Scenario 2

Input

Below is an example of an element that was added in a Pandas version that the SMA does not yet support.

import pandas as pd

df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "Chicago"],
    }
)

df.valid_function_since_x.x.x_version()

Output

Since the element was added in a Pandas version that the tool does not support yet, the tool adds the EWI on the output code.

import snowflake.snowpark.modin.pandas as pd

df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "Chicago"],
    }
)

#EWI: PNDSPY1003 => pandas.core.frame.DataFrame.valid_function_since_x.x.x_version is not yet recognized
df.valid_function_since_x.x.x_version()

Recommended fix

Please verify the Snowpark Pandas documentation, if it is a valid Pandas element, please report that you encountered a conversion error on that particular element using the Report an Issue option in the SMA and include any additional information that you think may be helpful.

Scenario 3

Input

Below is an example of an internal error of the SMA when processing the element.

import pandas as pd

df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "Chicago"],
    }
)

df.valid_function()

Output

If it was an error while processing the element and that cause the tool can't recognize, the tool adds the EWI on the output code.

import snowflake.snowpark.modin.pandas as pd

df = pd.DataFrame(
    {
        "Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "Chicago"],
    }
)

#EWI: PNDSPY1003 => pandas.core.frame.DataFrame.valid_function is not yet recognized
df.valid_function()

Recommended fix

Verify if the element exists in the Pandas documentation and also check the Snowpark Pandas documentation. If it is a valid Pandas element, please report that you encountered a conversion error on that particular element using the Report an Issue option in the SMA and include any additional information that you think may be helpful.

Additional recommendations

For more support, you can email us at sma-support@snowflake.com or post an issue in the SMA. If you have a contract for support with Snowflake, reach out to your sales engineer, and they can direct your support needs.

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Last updated 6 months ago

import pandas as pd df = pd.DataFrame( { "Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 35], "City": ["New York", "Los Angeles", "Chicago"], } ) df.non_existent_function()

import snowflake.snowpark.modin.pandas as pd df = pd.DataFrame( { "Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 35], "City": ["New York", "Los Angeles", "Chicago"], } ) #EWI: PNDSPY1003 => pandas.core.frame.DataFrame.non_existent_function is not yet recognized df.non_existent_function()

import pandas as pd df = pd.DataFrame( { "Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 35], "City": ["New York", "Los Angeles", "Chicago"], } ) df.valid_function_since_x.x.x_version()

import snowflake.snowpark.modin.pandas as pd df = pd.DataFrame( { "Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 35], "City": ["New York", "Los Angeles", "Chicago"], } ) #EWI: PNDSPY1003 => pandas.core.frame.DataFrame.valid_function_since_x.x.x_version is not yet recognized df.valid_function_since_x.x.x_version()

import pandas as pd df = pd.DataFrame( { "Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 35], "City": ["New York", "Los Angeles", "Chicago"], } ) df.valid_function()

import snowflake.snowpark.modin.pandas as pd df = pd.DataFrame( { "Name": ["Alice", "Bob", "Charlie"], "Age": [25, 30, 35], "City": ["New York", "Los Angeles", "Chicago"], } ) #EWI: PNDSPY1003 => pandas.core.frame.DataFrame.valid_function is not yet recognized df.valid_function()