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What is the default method for handling missing data in pandas' dropna() function?fillignoreanyall

Question

What is the default method for handling missing data in pandas' dropna() function?fillignoreanyall

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Solution

The default method for handling missing data in pandas' dropna() function is 'any'. This means that if any NA values are present, drop that label. Here are the steps:

  1. Import pandas library: import pandas as pd
  2. Create a DataFrame with some missing values: df = pd.DataFrame({"A": [1, 2, np.nan], "B": [5, np.nan, np.nan], "C": [1, 2, 3]})
  3. Use dropna() function: df.dropna()

By default, dropna() function removes the rows which contain missing data. If you want to remove the columns containing missing data, you can use df.dropna(axis=1).

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---------------------------------------------------------------------------ModuleNotFoundError Traceback (most recent call last)/usr/local/lib/python3.8/dist-packages/pandas/compat/_optional.py in import_optional_dependency(name, extra, errors, min_version) 125 try:--> 126 module = importlib.import_module(name) 127 except ImportError:/usr/lib/python3.8/importlib/__init__.py in import_module(name, package) 126 level += 1--> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 /usr/lib/python3.8/importlib/_bootstrap.py in _gcd_import(name, package, level)/usr/lib/python3.8/importlib/_bootstrap.py in _find_and_load(name, import_)/usr/lib/python3.8/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_)ModuleNotFoundError: No module named 'openpyxl'During handling of the above exception, another exception occurred:ImportError Traceback (most recent call last)/tmp/ipykernel_117172/296627440.py in <module> 1 import pandas as pd----> 2 data = pd.read_excel('Quiz.xlsx') 3 data/usr/local/lib/python3.8/dist-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs) 309 stacklevel=stacklevel, 310 )--> 311 return func(*args, **kwargs) 312 313 return wrapper/usr/local/lib/python3.8/dist-packages/pandas/io/excel/_base.py in read_excel(io, sheet_name, header, names, index_col, usecols, squeeze, dtype, engine, converters, true_values, false_values, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, parse_dates, date_parser, thousands, decimal, comment, skipfooter, convert_float, mangle_dupe_cols, storage_options) 455 if not isinstance(io, ExcelFile): 456 should_close = True--> 457 io = ExcelFile(io, storage_options=storage_options, engine=engine) 458 elif engine and engine != io.engine: 459 raise ValueError(/usr/local/lib/python3.8/dist-packages/pandas/io/excel/_base.py in __init__(self, path_or_buffer, engine, storage_options) 1417 self.storage_options = storage_options 1418 -> 1419 self._reader = self._engines[engine](self._io, storage_options=storage_options) 1420 1421 def __fspath__(self):/usr/local/lib/python3.8/dist-packages/pandas/io/excel/_openpyxl.py in __init__(self, filepath_or_buffer, storage_options) 522 passed to fsspec for appropriate URLs (see ``_get_filepath_or_buffer``) 523 """--> 524 import_optional_dependency("openpyxl") 525 super().__init__(filepath_or_buffer, storage_options=storage_options) 526 /usr/local/lib/python3.8/dist-packages/pandas/compat/_optional.py in import_optional_dependency(name, extra, errors, min_version) 127 except ImportError: 128 if errors == "raise":--> 129 raise ImportError(msg) 130 else: 131 return NoneImportError: Missing optional dependency 'openpyxl'. Use pip or conda to install openpyxl.

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