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How do I get the row count of a Pandas DataFrame? could use df info () so you get row count (# entries), number of non-null entries in each column, dtypes and memory usage Good complete picture of the df If you're looking for a number you can use programatically then df shape [0]
How can I iterate over rows in a Pandas DataFrame? I have a pandas dataframe, df: c1 c2 0 10 100 1 11 110 2 12 120 How do I iterate over the rows of this dataframe? For every row, I want to access its elements (values in cells) by the n
How do I select rows from a DataFrame based on column values? To select rows whose column value equals a scalar, some_value, use ==: df loc[df['column_name'] == some_value] To select rows whose column value is in an iterable, some_values, use isin: df loc[df['column_name'] isin(some_values)] Combine multiple conditions with : df loc[(df['column_name'] >= A) (df['column_name'] <= B)] Note the parentheses Due to Python's operator precedence rules
How to iterate over columns of a pandas dataframe 66 This answer is to iterate over selected columns as well as all columns in a DF df columns gives a list containing all the columns' names in the DF Now that isn't very helpful if you want to iterate over all the columns But it comes in handy when you want to iterate over columns of your choosing only
Use a list of values to select rows from a Pandas dataframe In the OP, the values in list_of_values don't appear in that order in df If you want df to return in the order they appear in list_of_values, i e "sort" by list_of_values, use loc
What is the meaning of `df [df [factor]]` syntax in Pandas? The second df in df[df['factor']] refers to the DataFrame on which the boolean indexing is being performed The boolean indexing operation [df['factor']] creates a boolean mask that is a Series of True and False values with the same length as the DataFrame