Методы и функции Pandas

Справочник методов DataFrame, Series и функций Pandas: фильтрация, агрегация, группировка, чтение/запись данных.

  1. ``DataFrame.abs()`` / ``Series.abs()``
  2. ``DataFrame.aggregate()`` / ``Series.aggregate()``
  3. ``DataFrame.all()`` / ``Series.all()``
  4. ``DataFrame.apply()`` / ``Series.apply()``
  5. ``DataFrame.assign()``
  6. ``DataFrame.astype()`` / ``Series.astype()``
  7. ``DataFrame.at`` / ``Series.at``
  8. ``Series.between()``
  9. ``DataFrame.boxplot()``
  10. ``DataFrame.copy()`` / ``Series.copy()``
  11. ``DataFrame.corr()`` / ``Series.corr()``
  12. ``DataFrame.count()`` / ``Series.count()``
  13. ``pandas.crosstab()``
  14. ``DataFrame.cumsum()`` / ``Series.cumsum()``
  15. ``pandas.cut()``
  16. ``DataFrame.filter()``
  17. ``pandas.date_range()``
  18. ``DataFrame.describe()`` / ``Series.describe()``
  19. ``DataFrame.diff()`` / ``Series.diff()``
  20. ``DataFrame.div()`` / ``Series.div()``
  21. ``DataFrame.drop()`` / ``Series.drop()``
  22. ``DataFrame.drop_duplicates()`` / ``Series.drop_duplicates()``
  23. ``DataFrame.dropna()`` / ``Series.dropna()``
  24. ``Series.dt.floor()``
  25. ``DataFrame.duplicated()`` / ``Series.duplicated()``
  26. ``DataFrame.ewm()`` / ``Series.ewm()``
  27. ``DataFrame.explode()`` / ``Series.explode()``
  28. ``DataFrame.fillna()`` / ``Series.fillna()``
  29. ``DataFrame.first()`` / ``Series.first()``
  30. ``DataFrame.from_dict()``
  31. ``DataFrame.get()`` / ``Series.get()``
  32. ``pandas.get_dummies()``
  33. ``DataFrame.groupby()`` / ``Series.groupby()``
  34. ``DataFrame.head()`` / ``Series.head()``
  35. ``DataFrame.hist()`` / ``Series.hist()``
  36. ``DataFrame.iloc`` / ``Series.iloc``
  37. ``DataFrame.info()``
  38. ``DataFrame.insert()``
  39. ``DataFrame.isin()`` / ``Series.isin()``
  40. ``DataFrame.items()`` / ``Series.items()``
  41. ``DataFrame.iterrows()``
  42. ``DataFrame.itertuples()``
  43. ``DataFrame.join()``
  44. ``DataFrame.loc`` / ``Series.loc``
  45. ``Series.map()``
  46. ``DataFrame.mask()`` / ``Series.mask()``
  47. ``DataFrame.mean()`` / ``Series.mean()``
  48. ``DataFrame.melt()`` / ``pandas.melt()``
  49. ``DataFrame.merge()`` / ``pandas.merge()``
  50. ``DataFrame.mode()`` / ``Series.mode()``
  51. ``DataFrame.multiply()`` / ``Series.multiply()``
  52. ``DataFrame.notnull()`` / ``Series.notnull()``
  53. ``DataFrame.nunique()`` / ``Series.nunique()``
  54. ``DataFrame.pivot()``
  55. ``DataFrame.pivot_table()``
  56. ``DataFrame.plot()``
  57. ``DataFrame.prod()`` / ``Series.prod()``
  58. ``pandas.qcut()``
  59. ``DataFrame.quantile()`` / ``Series.quantile()``
  60. ``DataFrame.query()``
  61. ``DataFrame.rank()`` / ``Series.rank()``
  62. ``pandas.read_csv()``
  63. ``pandas.read_excel()``
  64. ``DataFrame.reindex()`` / ``Series.reindex()``
  65. ``DataFrame.rename()`` / ``Series.rename()``
  66. ``DataFrame.replace()`` / ``Series.replace()``
  67. ``DataFrame.resample()``
  68. ``DataFrame.reset_index()``
  69. ``DataFrame.rolling()`` / ``Series.rolling()``
  70. ``DataFrame.round()`` / ``Series.round()``
  71. ``DataFrame.sample()`` / ``Series.sample()``
  72. ``Series.filter()``
  73. ``Series.str.find()``
  74. ``Series.str.replace()``
  75. ``DataFrame.set_index()``
  76. ``DataFrame.shift()`` / ``Series.shift()``
  77. Срезы (``slice``) в Pandas
  78. ``DataFrame.sort_values()`` / ``Series.sort_values()``
  79. ``DataFrame.std()`` / ``Series.std()``
  80. ``Series.str.contains()``
  81. ``Series.str.split()``
  82. ``Series.str.strip()``
  83. ``DataFrame.sum()`` / ``Series.sum()``
  84. ``DataFrame.to_csv()`` / ``Series.to_csv()``
  85. ``pandas.to_datetime()``
  86. ``DataFrame.to_dict()`` / ``Series.to_dict()``
  87. ``DataFrame.to_excel()``
  88. ``Series.to_frame()``
  89. ``DataFrame.to_json()`` / ``Series.to_json()``
  90. ``DataFrame.to_sql()``
  91. ``DataFrame.to_string()`` / ``Series.to_string()``
  92. ``Series.tolist()`` / ``Index.tolist()``
  93. ``DataFrame.transpose()`` / ``DataFrame.T``
  94. ``Series.unique()`` / ``pandas.unique()``
  95. ``DataFrame.update()`` / ``Series.update()``
  96. ``Series.value_counts()`` / ``DataFrame.value_counts()``
  97. ``DataFrame.var()`` / ``Series.var()``
  98. ``DataFrame.where()`` / ``Series.where()``