test_navdata module

Tests for NavData class.

test_navdata.fixture_floats(df_rows)

Return data corresponding to the floats label from the test data

Parameters:

df_rows (list) – List of rows from the testing data

Returns:

floats – Array of numeric entries in ‘floats’ label of data

Return type:

np.ndarray

test_navdata.fixture_flt_int_slc(df_rows)

Return data corresponding to the names and strings label from the test data

Parameters:

df_rows (list) – List of rows from the testing data

Returns:

flt_int_slc – 2D array of some numeric entries in ‘integers’ and ‘floats’ labels of data

Return type:

np.ndarray

test_navdata.fixture_int_flt(df_rows)

Return data corresponding to the integers and floats.

Labeled from the test data.

Parameters:

df_rows (list) – List of rows from the testing data

Returns:

int_flt – 2D array of numeric entries in ‘integers’ and ‘floats’ labels of data

Return type:

np.ndarray

test_navdata.fixture_integers(df_rows)

Return data corresponding to the integers label from the test data

Parameters:

df_rows (list) – List of rows from the testing data

Returns:

integers – Array of numeric entries in ‘integers’ label of data

Return type:

np.ndarray

test_navdata.fixture_new_str_list(new_string)

String to test for value assignment

Returns:

new_string_2d – String of shape [1,6], expected value after string assignment

Return type:

np.ndarray

test_navdata.fixture_new_string()

String to test for value assignment

Returns:

new_string – String of length 6 to test string assignment

Return type:

np.ndarray

test_navdata.fixture_new_string_string_type()

String to test for value assignment

Returns:

new_string – String of length 6 to test string assignment

Return type:

np.ndarray

test_navdata.fixture_new_string_unicode_type()

String to test for value assignment

Returns:

new_string – String of length 6 to test string assignment

Return type:

np.ndarray

test_navdata.fixture_nm_str(df_rows)

Return data corresponding to the names and strings label from the test data

Parameters:

df_rows (list) – List of rows from the testing data

Returns:

nm_str – 2D array of numeric entries in ‘names’ and ‘strings’ labels of data

Return type:

np.ndarray

test_navdata.fixture_str_nm(df_rows)

Return data corresponding to the strings and names label from the test data

Parameters:

df_rows (list) – List of rows from the testing data

Returns:

str_nm – 2D array of numeric entries in ‘strings’ and ‘names’ labels of data

Return type:

np.ndarray

test_navdata.fixture_strings(df_rows)

Return data corresponding to the strings label from the test data

Parameters:

df_rows (list) – List of rows from the testing data

Returns:

strings – Array of string entries in ‘strings’ label of data

Return type:

np.ndarray

test_navdata.fixture_subsect_str_list(subset_str)

Subset string to test for value assignment

Returns:

subset_string_2d – String of shape [1,3], expected value after string assignment

Return type:

np.ndarray

test_navdata.fixture_subset_str()

Subset string to test for value assignment

Returns:

subset_string – String of length 6 expected value after string assignment

Return type:

np.ndarray

test_navdata.return_df_rows(request)

Extract and return rows from the DataFrame for testing

Parameters:

pandas_df (pd.DataFrame) – Dataframe for testing values

Returns:

• names (np.ndarray) – String entries in ‘names’ column of the DataFrame

• integers (np.ndarray) – Numeric entries in ‘integers’ column of the DataFrame

• floats (np.ndarray) – Numeric entries in ‘floats’ column of the DataFrame

• strings (np.ndarray) – String entries in ‘strings’ column of the DataFrame

test_navdata.test_argwhere_nan(csv_path)

Test where options on nan values.

Parameters:

csv_path (string) – Path to csv file containing data

test_navdata.test_col_looping(csv_simple)

Testing implementation to loop over columns in NavData

Parameters:

csv_simple (str) – path to csv file used to create NavData

test_navdata.test_copy_navdata(data, df_simple, rows, cols)

Test methods to subsets and copies of NavData instance

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – Instance of NavData

• df_simple (pd.DataFrame) – Dataframe that is sliced to compare copies against

• rows (list/np.ndarray) – Rows to keep in copy

• cols (list/np.ndarray) – Columns to keep in copy

test_navdata.test_dtypes_casting(csv_path)

Test dtypes casting from csv back to csv

Parameters:

csv_path (string) – Path to csv file containing data

test_navdata.test_dtypes_changing(csv_dtypes)

Test changing dtypes

Parameters:

csv_dtypes (string) – Path to csv file containing multiple data types

test_navdata.test_get_all_numpy(numpy_array)

Test get all method using slices for NavData

Parameters:

numpy_array (np.ndarray) – Array to initialize NavData

test_navdata.test_get_item(data, index, exp_value)

Test if assigned value is same as original value given for assignment

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – Data to test getting values from

• index (slice/str/int/tuple) – Index to query data at

• exp_value (np.ndarray) – Expected value at queried indices

test_navdata.test_in_rows_multi(data)

Test the in_rows function.

Parameters:

data (gnss_lib_py.navdata.navdata.NavData) – Instance of NavData

test_navdata.test_in_rows_single(data)

Test the in_rows function.

Parameters:

data (gnss_lib_py.navdata.navdata.NavData) – Instance of NavData

test_navdata.test_init_blank()

Test initializing blank NavData class

test_navdata.test_init_csv(csv_path)

Test initializing NavData class with csv

Parameters:

csv_path (string) – Path to csv file containing data

test_navdata.test_init_headless(csv_headless, df_headless)

Test that headless csvs and dataframes can be loaded as expected.

test_navdata.test_init_np(numpy_array)

Test initializing NavData class with numpy array

Parameters:

numpy_array (np.ndarray) – Numpy array containing data

test_navdata.test_init_pd(pandas_df)

Test initializing NavData class with pandas dataframe

Parameters:

pandas_df (pd.DataFrame) – Pandas DataFrame containing data

test_navdata.test_is_str(df_simple)

Test the is_str function.

Parameters:

df_simple (pd.DataFrame) – Simple pd.DataFrame with which to initialize NavData.

test_navdata.test_keep_cols_where(data, df_simple)

Test keep columns with where.

test_navdata.test_large_int()

Test get/set for large integers.

test_navdata.test_len_rows(data)

Test that len() and rows return correct output.

Parameters:

data (gnss_lib_py.navdata.navdata.NavData) – Simple version of NavData to use for test.

test_navdata.test_multi_set(data, new_string)

Test setting a numeric row with strings and vice versa.

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – NavData instance for testing

• new_string (np.ndarray) – String of length 6 to test string assignment

test_navdata.test_multi_set_changing_type(data, new_string)

Test setting a numeric row with strings and vice versa.

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – NavData instance for testing

• new_string (np.ndarray) – String of length 6 to test string assignment

test_navdata.test_nan_return()

Test case where NaN values in int array need to be returned.

test_navdata.test_num_cols(data)

Test that num_cols returns correct output.

Parameters:

data (gnss_lib_py.navdata.navdata.NavData) – Simple version of NavData to use for test.

test_navdata.test_pandas_df(df_simple, df_only_header)

Test that the NavData class can be printed without errors

Parameters:

• df_simple (pd.DataFrame) – Dataframe with which to construct NavData instance

• df_only_header (pd.DataFrame) – Dataframe with only column names and no data

test_navdata.test_remove_inplace(data, df_simple, rows, cols)

Test method to remove rows and columns from navdata

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – Instance of NavData

• df_simple (pd.DataFrame) – Dataframe that is sliced to compare copies against

• rows (list/np.ndarray) – Rows to remove from NavData

• cols (list/np.ndarray) – Columns to remove from NavData

test_navdata.test_remove_navdata(data, df_simple, rows, cols)

Test method to remove rows and columns from navdata

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – Instance of NavData

• df_simple (pd.DataFrame) – Dataframe that is sliced to compare copies against

• rows (list/np.ndarray/tuple) – Rows to remove from NavData

• cols (list/np.ndarray/tuple) – Columns to remove from NavData

test_navdata.test_rename_fails(df_simple, df_only_header)

Test column renaming functionality.

Parameters:

• df_simple (pd.DataFrame) – pd.DataFrame to initialize NavData with.

• df_only_header (pd.DataFrame) – Dataframe with only column names and no data

test_navdata.test_rename_inplace(pandas_df)

Test column renaming functionality.

Parameters:

pandas_df (pd.DataFrame) – Dataframe for testing values

test_navdata.test_rename_mapper_and_rows(df_simple)

Test data renaming functionality with type changes and row names.

Parameters:

df_simple (pd.DataFrame) – pd.DataFrame to initialize NavData with

test_navdata.test_rename_new_navdata(pandas_df)

Test column renaming functionality.

Parameters:

pandas_df (pd.DataFrame) – Dataframe for testing values

test_navdata.test_replace_fails(df_simple, df_only_header)

Test replace renaming functionality.

Parameters:

• df_simple (pd.DataFrame) – pd.DataFrame to initialize NavData with.

• df_only_header (pd.DataFrame) – Dataframe with only column names and no data

test_navdata.test_replace_mapper_all(df_simple, rows)

Test data renaming functionality.

Parameters:

• df_simple (pd.DataFrame) – pd.DataFrame to initialize NavData with.

• rows (None or array-like) – Rows for which mapper is implemented.

test_navdata.test_replace_mapper_partial(df_simple, rows)

Test data renaming functionality.

Parameters:

• df_simple (pd.DataFrame) – pd.DataFrame to initialize NavData with.

• rows (array-like) – Rows for which mapper is implemented.

test_navdata.test_replace_mapper_type_change(df_simple)

Test data renaming functionality with type changes.

Parameters:

df_simple (pd.DataFrame) – pd.DataFrame to initialize NavData with

test_navdata.test_set_changing_type(data, new_string)

Test setting a numeric row with strings and vice versa.

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – NavData instance for testing

• new_string (np.ndarray) – String of length 6 to test string assignment

test_navdata.test_set_get_item(data, index, new_value, exp_value)

Test if assigned values match expected values on getting again

Parameters:

• data (gnss_lib_py.navdata.navdata.NavData) – NavData instance for testing

• index (slice/str/int/tuple) – Index to query data at

• new_value (np.ndarray/int) – Value to assign at query index

• exp_value (np.ndarray) – Expected value at queried indices

test_navdata.test_str_navdata(df_simple, df_only_header)

Test that the NavData class can be printed without errors

Parameters:

• df_simple (pd.DataFrame) – Dataframe with which to construct NavData instance

• df_only_header (pd.DataFrame) – Dataframe with only column names and no data

test_navdata.test_where_empty(df_simple)

Verify empty slices.

Parameters:

df_simple (pd.DataFrame) – Simple pd.DataFrame with which to initialize NavData.

test_navdata.test_where_errors(csv_simple)

Testing error cases for NavData.where

Parameters:

csv_simple (str) – Path to csv file used to create NavData

test_navdata.test_where_numbers(csv_simple)

Testing implementation of NavData.where for numeric values

Parameters:

csv_simple (str) – Path to csv file used to create NavData

test_navdata.test_where_str(csv_simple)

Testing implementation of NavData.where for string values

Parameters:

csv_simple (str) – Path to csv file used to create NavData

test_navdata.test_wrong_init_set(row_idx)

Test init with unknown set.