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.. and, if so, what are those max limits of pandas?
Sorry, this question seems elementary but I couldn't find an answer at pandas.pydata.org.
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Column Count Limits MySQL has hard limit of 4096 columns per table, but the effective maximum may be less for a given table.
The internal representation of a MySQL table has a maximum row size limit of 65,535 bytes, even if the storage engine is capable of supporting larger rows. BLOB and TEXT columns only contribute 9 to 12 bytes toward the row size limit because their contents are stored separately from the rest of the row.
max_rows represents the maximum number of rows that pandas will display while displaying a data frame. The default value of max_rows is 10.
The limit is your memory. ( but these limits are really large )
But when you want to display a DataFrame table in "Jupyter Notebook", there is some predefined limits.
For example you can:
print (pd.options.display.max_columns) # <--- this will display your limit pd.options.display.max_columns = 500 # this will set limit of columns to 500 The same idea work with rows:
display.max_rows More details on: https://pandas.pydata.org/pandas-docs/stable/options.html
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