Update understanding-word-vectors.ipynb#4
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AlhusainAliAlharthi wants to merge 1 commit intoaparrish:masterfrom
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Update understanding-word-vectors.ipynb#4AlhusainAliAlharthi wants to merge 1 commit intoaparrish:masterfrom
AlhusainAliAlharthi wants to merge 1 commit intoaparrish:masterfrom
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The error you encountered is an OptionError raised by the pandas library. This error occurs when there is a problem with setting an option using the pd.set_option() function.
In your case, the error message specifically states: "Pattern matched multiple keys". This means that the pattern 'max_rows' you provided matched multiple keys in the pandas options, leading to ambiguity in setting the desired option.
To solve this error, you need to provide the full option name, which is 'display.max_rows', instead of just 'max_rows'. By specifying the complete option name, you ensure that the intended option is set correctly.
Here's the modified line that solves the error:
pd.set_option('display.max_rows', 25)
By using 'display.max_rows', you explicitly set the maximum number of rows to be displayed in pandas DataFrames to 25.
Remember, it's essential to check the documentation for the specific version of pandas you are using to ensure the correct option names and syntax.
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I encountered an OptionError while attempting to set an option using pd.set_option(). The error message indicated that the pattern 'max_rows' matched multiple keys in the pandas options. To resolve this, I modified the code and replaced 'max_rows' with the complete option name 'display.max_rows'. This change ensured that the intended option was set correctly. Here's the updated code that resolved the error:
pd.set_option('display.max_rows', 25)
By specifying 'display.max_rows', I explicitly set the maximum number of rows to be displayed in pandas DataFrames to 25. It's important to consult the documentation for the specific version of pandas being used to verify the correct option names and syntax.
Remember, it's essential to check the documentation for the specific version of pandas you are using to ensure the correct option names and syntax.