To get a list from Python Pandas DataFrame column headers, we call list on the data frame.
For instance, we write
list(my_dataframe)
where my_dataframe is a data frame to return a list.
To get a list from Python Pandas DataFrame column headers, we call list on the data frame.
For instance, we write
list(my_dataframe)
where my_dataframe is a data frame to return a list.
To get the row count of a Python Pandas DataFrame, we can use various properties.
We can write one of
len(df.index)df.shape[0]df[df.columns[0]].count()to get the row count of a Pandas dataframe.
df is the dataframe.
To select multiple columns in a Python Pandas dataframe, we pass in an array of column names to select.
For instance, we write
df1 = df[['a', 'b']]
to select columns 'a' and 'b' and return it.
To delete a column from a Python Pandas DataFrame, we call the drop method.
For instance, we write
df = df.drop('column_name', 1)
to call df.drop to drop the column_name column only.
The 1 indicates we drop only the column in the 1st argument.
To rename column names in Python Pandas, we call the dataframe rename method.
For instance, we write
df = df.rename(columns={'oldName1': 'newName1', 'oldName2': 'newName2'})
to rename the oldName1 and oldName2 columns to newName1 and newName2 with df.rename.
And then we assign the returned dataframe back to df.