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PEP 257 - docstring formatting (#212)
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Original file line number | Diff line number | Diff line change |
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@@ -1,5 +1,6 @@ | ||
""" | ||
File with commands to manage the stata-acro interface | ||
File with commands to manage the stata-acro interface. | ||
Jim Smith 2023 @[email protected] | ||
MIT licenses apply. | ||
""" | ||
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@@ -14,10 +15,7 @@ | |
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def apply_stata_ifstmt(raw: str, all_data: pd.DataFrame) -> pd.DataFrame: | ||
""" | ||
Parses an if statement from stata format | ||
then uses it to subset a dataframe by contents. | ||
""" | ||
"""Parse an if statement from stata format then use it to subset a dataframe by contents.""" | ||
if len(raw) == 0: | ||
return all_data | ||
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@@ -36,8 +34,9 @@ def apply_stata_ifstmt(raw: str, all_data: pd.DataFrame) -> pd.DataFrame: | |
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def parse_location_token(token: str, last: int) -> int: | ||
""" | ||
Parses index position tokens from stata syntax | ||
stata allows f and F for first item and l/L for last. | ||
Parse index position tokens from stata syntax. | ||
Stata allows f and F for first item and l/L for last. | ||
""" | ||
lookup: dict = {"f": 0, "F": 0, "l": last, "L": last} | ||
if token in ["f", "F", "l", "L"]: | ||
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@@ -54,10 +53,7 @@ def parse_location_token(token: str, last: int) -> int: | |
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def apply_stata_expstmt(raw: str, all_data: pd.DataFrame) -> pd.DataFrame: | ||
""" | ||
Parses an in exp statement from stata and uses it | ||
to subset a dataframe by set of row indices. | ||
""" | ||
"""Parse an in exp statement from stata and use it to subset a dataframe by row indices.""" | ||
last = len(all_data) - 1 | ||
if "/" not in raw: | ||
pos = parse_location_token(raw, last) | ||
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@@ -86,11 +82,9 @@ def apply_stata_expstmt(raw: str, all_data: pd.DataFrame) -> pd.DataFrame: | |
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def find_brace_word(word: str, raw: str): | ||
""" | ||
Given a word followed by a ( | ||
finds and returns as a list of strings | ||
the rest of the contents up to the closing ). | ||
first returned value is True/False depending on parsing ok. | ||
"""Return contents as a list of strings between '(' following a word and the closing ')'. | ||
First returned value is True/False depending on parsing ok. | ||
""" | ||
result = [] | ||
idx = raw.find(word) | ||
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@@ -113,7 +107,7 @@ def find_brace_word(word: str, raw: str): | |
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def extract_aggfun_values_from_options(details, contents_found, content, varnames): | ||
"""Extracts the aggfunc and the values from the content.""" | ||
"""Extract the aggfunc and the values from the content.""" | ||
# contents can be variable names or aggregation functions | ||
details["aggfuncs"], details["values"] = list([]), list([]) | ||
if contents_found and len(content) > 0: | ||
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@@ -132,7 +126,8 @@ def extract_aggfun_values_from_options(details, contents_found, content, varname | |
def parse_table_details( | ||
varlist: list, varnames: list, options: str, stata_version: str | ||
) -> dict: | ||
"""Function to parse stata-16 style table calls | ||
"""Parse stata-16 style table calls. | ||
Note this is not for latest version of stata, syntax here: | ||
https://www.stata.com/manuals16/rtable.pdf | ||
>> table rowvar [colvar [supercolvar] [if] [in] [weight] [, options]. | ||
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@@ -202,8 +197,9 @@ def parse_and_run( # pylint: disable=too-many-arguments,too-many-locals | |
stata_version: str, | ||
) -> pd.DataFrame: | ||
""" | ||
Run the appropriate command on a pre-existing ACRO object stata_acro. | ||
Takes a dataframe and the parsed stata command line. | ||
Runs the appropriate command on a pre-existing ACRO object stata_acro | ||
Returns the result as a formatted string. | ||
""" | ||
# sanity checking | ||
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@@ -248,7 +244,7 @@ def parse_and_run( # pylint: disable=too-many-arguments,too-many-locals | |
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def run_session_command(command: str, varlist: list) -> str: | ||
"""Runs session commands that are data-independent.""" | ||
"""Run session commands that are data-independent.""" | ||
outcome = "" | ||
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if command == "init": | ||
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@@ -285,8 +281,9 @@ def run_session_command(command: str, varlist: list) -> str: | |
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def run_output_command(command: str, varlist: list) -> str: | ||
"""Runs outcome-level commands | ||
first element of varlist is output affected | ||
"""Run outcome-level commands. | ||
First element of varlist is output affected | ||
rest (if relevant) is string passed to command. | ||
""" | ||
outcome = "" | ||
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@@ -324,9 +321,7 @@ def run_output_command(command: str, varlist: list) -> str: | |
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def extract_var_within_parentheses(input_string): | ||
"""Given a string, this function extracts the words within the first parentheses | ||
from a string. | ||
""" | ||
"""Extract the words within the first parentheses from a string.""" | ||
string = "" | ||
string_match = re.match(r"\((.*?)\)", input_string) | ||
if string_match: | ||
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@@ -336,7 +331,7 @@ def extract_var_within_parentheses(input_string): | |
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def extract_var_before_parentheses(input_string): | ||
"""Given a string, this function extracts the words before the first parentheses.""" | ||
"""Extract the words before the first parentheses.""" | ||
string = "" | ||
string_match = re.match(r"^(.*?)\(", input_string) | ||
if string_match: | ||
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@@ -346,7 +341,8 @@ def extract_var_before_parentheses(input_string): | |
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def extract_table_var(input_string): | ||
"""Given a string, this function extracts the words within the parentheses. | ||
"""Extract the words within the parentheses. | ||
If there are no parentheses the string is returned. | ||
""" | ||
string = "" | ||
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@@ -359,9 +355,9 @@ def extract_table_var(input_string): | |
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def extract_colstring_tablestring(input_string): | ||
"""Given a string, this function extracts the column and the tables | ||
variables as a string. It goes through different options eg. whether | ||
the column string is between paranthese or not. | ||
"""Extract the column and the tables variables as a string. | ||
It goes through different options eg. whether the column string is between paranthese or not. | ||
""" | ||
colstring = "" | ||
tablestring = "" | ||
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@@ -382,9 +378,9 @@ def extract_colstring_tablestring(input_string): | |
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def extract_strings(input_string): | ||
"""Given a string, this function extracts the index, column and the tables | ||
variables as a string. It goes through different options eg. whether | ||
the index string is between paranthese or not. | ||
"""Extract the index, column and the tables variables as a string. | ||
It goes through different options eg. whether the index string is between paranthese or not. | ||
""" | ||
rowstring = "" | ||
colstring = "" | ||
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@@ -412,11 +408,11 @@ def extract_strings(input_string): | |
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def creates_datasets(data, details): | ||
"""This function returns the full dataset if the tables parameter is empty. | ||
"""Return the full dataset if the tables parameter is empty. | ||
Otherwise, it divides the dataset to small dataset each one is the dataset when | ||
the tables parameter is equal to one of it is unique values. | ||
""" | ||
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set_of_data = {"Total": data} | ||
msg = "" | ||
# if tables var parameter was assigned, each table will | ||
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@@ -449,10 +445,7 @@ def run_table_command( # pylint: disable=too-many-arguments,too-many-locals | |
options: str, | ||
stata_version: str, | ||
) -> str: | ||
""" | ||
Converts a stata table command into an acro.crosstab | ||
then returns a prettified versaion of the cross_tab dataframe. | ||
""" | ||
"""Convert a stata table command into an acro.crosstab and return a prettified dataframe.""" | ||
weights_empty = len(weights) == 0 | ||
if not weights_empty: # pragma | ||
return f"weights not currently implemented for _{weights}_\n" | ||
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@@ -534,7 +527,7 @@ def run_table_command( # pylint: disable=too-many-arguments,too-many-locals | |
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def run_regression(command: str, data: pd.DataFrame, varlist: list) -> str: | ||
"""Interprets and runs appropriate regression command.""" | ||
"""Interpret and run appropriate regression command.""" | ||
# get components of formula | ||
depvar = varlist[0] | ||
indep_vars = varlist[1:] | ||
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@@ -562,7 +555,7 @@ def run_regression(command: str, data: pd.DataFrame, varlist: list) -> str: | |
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def get_regr_results(results: sm_iolib_summary.Summary, title: str) -> str: | ||
"""Translates statsmodels.io.summary object into prettified table.""" | ||
"""Translate statsmodels.io.summary object into prettified table.""" | ||
res_str = title + "\n" | ||
for table in acro_regression.get_summary_dataframes(results.summary().tables): | ||
res_str += prettify_table_string(table, separator=",") + "\n" | ||
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