ssapy.io

Collection of functions to read from and write to various file formats.

Functions

`append_csv`(file_names[, save_path, sep, ...])	Appends multiple CSV files into a single CSV file.
`append_csv_on_disk`(csv_files, output_file)	Append multiple CSV files into a single CSV file.
`append_dict_to_csv`(file_name, data_dict[, ...])	Append data from a dictionary to a CSV file.
`append_h5`(filename, pathname, append_data)	Append data to key in HDF5 file.
`b3obs2pos`(b3line)	Return an SGP4 Satellite imported from B3OBS data.
`combine_h5`(filename, files[, verbose, overwrite])	Combine multiple HDF5 files into a single HDF5 file.
`exists`(pathname)	Check if a file or directory exists.
`exists_in_csv`(csv_file, column, number[, sep])	Checks if a number exists in a specific column of a CSV file.
`exists_in_csv_old`(csv_file, column, number)	Check if a specific value exists in a given column of a CSV file.
`file_exists_extension_agnostic`(filename)	Check if a file with the given name and any extension exists.
`get_all_files_recursive`([path_name])	Recursively retrieve all file paths from a directory and its subdirectories.
`get_memory_usage`()	Print the memory usage of the current process.
`get_tel_pos_itrf_to_gcrs`(time[, tel_label])	Convert telescope locations in ITRF (i.e., fixed to the earth) to GCRS (i.e., geocentric celestial frame)
`guess_csv_delimiter`(file_name)	Guess the delimiter used in a CSV file.
`h5_key_exists`(filename, key)	Checks if a key exists in an HDF5 file.
`h5_keys`(file_path)	List all groups in HDF5 file.
`h5_root_keys`(file_path)	Retrieve the keys in the root group of an HDF5 file.
`listdir`([dir_path, files_only, exclude, ...])	Lists files and directories in a specified path with optional filtering and sorting.
`load_b3obs_file`(file_name)	Convenience function to load all entries in a B3OBS file
`load_np`(filename_)	Load a NumPy array from a binary file.
`load_pickle`(filename_)	Load data from a pickle file.
`make_tle`(a, e, i, pa, raan, trueAnomaly, t)	Create a TLE from Kozai mean orbital elements
`makedf`(df)	Convert an input into a pandas DataFrame.
`merge_dicts`(file_names, save_path)	Merge multiple dictionaries stored in pickle files into a single dictionary and save the result.
`mkdir`(pathname)	Creates a directory if it does not exist.
`overwrite_h5`(filename, pathname, new_data)	Overwrite key in HDF5 file.
`parseB3`(filename)	Load data from a B3 observation file
`parseB3Line`(line)	Read one line of a B3 file and parse into distinct catalog components
`parse_overpunched`(line)	Parse and adjust a string containing overpunched numeric values.
`parse_tle`(tle)	Parse a TLE returning Kozai mean orbital elements.
`pd_flatten`(data[, factor])	Flatten and process a list of data values.
`pdstr_to_arrays`(df)	Convert a pandas Series or DataFrame with string representations of arrays into a NumPy array of actual arrays.
`read_csv`(file_name[, sep, dtypes, col, ...])	Read a CSV file with options.
`read_csv_header`(file_name[, sep])	Get the header of a CSV file.
`read_h5`(filename, pathname)	Load data from HDF5 file.
`read_h5_all`(file_path)	Read all datasets from an HDF5 file into a dictionary.
`read_tle`(sat_name, tle_filename)	Get the TLE data from the file for the satellite with the given name
`read_tle_catalog`(fname[, n_lines])	Read in a TLE catalog file
`rmdir`(source_)	Deletes a directory and its contents if it exists.
`rmfile`(pathname)	Deletes a file if it exists.
`save_csv`(file_name, df[, sep, dtypes])	Save a Pandas DataFrame to a CSV file.
`save_csv_array_to_line`(filename, array[, ...])	Appends a single row of data to a CSV file with a specified delimiter.
`save_csv_header`(filename, header[, delimiter])	Saves a header row to a CSV file with a specified delimiter.
`save_csv_line`(file_name, df[, sep, dtypes])	Save a Pandas DataFrame to a CSV file, appending the DataFrame to the file if it exists.
`save_h5`(filename, pathname, data)	Save data to HDF5 file with recursive attempt in case of write errors.
`save_np`(filename_, data_)	Save a NumPy array to a binary file.
`save_pickle`(filename_, data_)	Save data to a pickle file.
`str_to_array`(s)	Convert a string representation of an array back into a NumPy array.