In [1]:

import pandas as pd
pd.options.display.max_colwidth = 500

In [2]:

df = pd.read_csv(r'examples/test.csv', sep='\n', skiprows=[0], names=['Description'])

df.index = list(range(1, 22))

In [3]:

def f1(x):
    x = x.split(' ')
    return x.pop(0)


df['Argument'] = df['Description'].map(f1) # get the first word

In [4]:

def f2(x):
    x = x.split(' ')
    return " ".join(x[1:])

df['Description'] = df['Description'].map(f2) # remove the first word

In [5]:

df = df.reindex(columns=['Argument', 'Description'])

In [6]:

df

Out[6]:

	Argument	Description
1	path	String indicating filesystem location, URL, or file-like object
2	sep	Character sequence or regular expression to use to split fields in each row
3	header	Row number to use as column names; defaults to 0 (first row), but should be None if there is no header row
4	index_col	Column numbers or names to use as the row index in the result; can be a single name/number or a list of them for a hierarchical index
5	names	List of column names for result, combine with header=None
6	skiprows	Number of rows at beginning of file to ignore or list of row numbers (starting from 0) to skip.
7	na_values	Sequence of values to replace with NA.
8	comment	Character(s) to split comments off the end of lines.
9	parse_dates	Attempt to parse data to datetime; False by default. If True, will attempt to parse all columns. Otherwise can specify a list of column numbers or name to parse. If element of list is tuple or list, will combine multiple columns together and parse to date (e.g., if date/time split across two columns).
10	keep_date_col	If joining columns to parse date, keep the joined columns; False by default.
11	converters	Dict containing column number of name mapping to functions (e.g., {'foo': f} would apply the function f to all values in the 'foo' column).
12	dayfirst	When parsing potentially ambiguous dates, treat as international format (e.g., 7/6/2012 -> June 7, 2012); False by default.
13	date_parser	Function to use to parse dates.
14	nrows	Number of rows to read from beginning of file.
15	iterator	Return a TextParser object for reading file piecemeal.
16	chunksize	For iteration, size of file chunks.
17	skip_footer	Number of lines to ignore at end of file.
18	verbose	Print various parser output information, like the number of missing values placed in non-numeric columns.
19	encoding	Text encoding for Unicode (e.g., 'utf-8' for UTF-8 encoded text).
20	squeeze	If the parsed data only contains one column, return a Series.
21	thousands	Separator for thousands (e.g., ',' or '.').