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I am have imported a csv file onto my Jupyter notebook and trying to obtain all the columns names and datatypes using the info() function. However, I get the following image. Any idea how to resolve it? I can't view all the columns and datatypes, only this vague information
Thanks!
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To show all columns in Pandas we can set the option: pd. option_context - display. max_columns to None. This will show all columns in the current DataFrame.
The info() method prints information about the DataFrame. The information contains the number of columns, column labels, column data types, memory usage, range index, and the number of cells in each column (non-null values). Note: the info() method actually prints the info.
Use Dataframe. dtypes to get Data types of columns in Dataframe. In Python's pandas module Dataframe class provides an attribute to get the data type information of each columns i.e. It returns a series object containing data type information of each column.
To find duplicate columns we need to iterate through all columns of a DataFrame and for each and every column it will search if any other column exists in DataFrame with the same contents already. If yes then that column name will be stored in the duplicate column set.
use verbose as argument to info, it gives option to print the full summary. see full documentation here
You can also use show_counts (or null_counts for older pandas version since it was deprecated since pandas 1.2.0) argument to see null count information
For pandas >= 1.2.0:
df.info(verbose=True, show_counts=True)
For pandas <1.2.0:
df.info(verbose=True, null_counts=True)
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