Python pandas Module

This page shows the popular functions and classes defined in the pandas module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. DataFrame()    
  Used in 2847 projects
• 2. read_csv()    
  Used in 2399 projects
• 3. concat()    
  Used in 1117 projects
• 4. Series()    
  Used in 1086 projects
• 5. to_datetime()    
  Used in 475 projects
• 6. merge()    
  Used in 334 projects
• 7. date_range()    
  Used in 228 projects
• 8. isnull()    
  Used in 193 projects
• 9. set_option()    
  Used in 183 projects
• 10. to_numeric()    
  Used in 181 projects
• 11. Timestamp()    
  Used in 181 projects
• 12. read_excel()    
  Used in 172 projects
• 13. read_table()    
  Used in 170 projects
• 14. Index()    
  Used in 160 projects
• 15. read_pickle()    
  Used in 152 projects
• 16. get_dummies()    
  Used in 151 projects
• 17. DatetimeIndex()    
  Used in 145 projects
• 18. read_json()    
  Used in 128 projects
• 19. Timedelta()    
  Used in 112 projects
• 20. Categorical()    
  Used in 89 projects
• 21. read_sql()    
  Used in 85 projects
• 22. cut()    
  Used in 82 projects
• 23. MultiIndex()    
  Used in 81 projects
• 24. __version__()    
  Used in 81 projects
• 25. read_hdf()    
  Used in 76 projects
• 26. ExcelWriter()    
  Used in 73 projects
• 27. notnull()    
  Used in 68 projects
• 28. unique()    
  Used in 66 projects
• 29. HDFStore()    
  Used in 59 projects
• 30. isna()    
  Used in 59 projects
• 31. melt()    
  Used in 54 projects
• 32. DateOffset()    
  Used in 54 projects
• 33. to_timedelta()    
  Used in 52 projects
• 34. crosstab()    
  Used in 52 projects
• 35. read_sql_query()    
  Used in 49 projects
• 36. RangeIndex()    
  Used in 46 projects
• 37. option_context()    
  Used in 44 projects
• 38. Dataframe()    
  Used in 43 projects
• 39. read_html()    
  Used in 43 projects
• 40. NaT()    
  Used in 43 projects
• 41. qcut()    
  Used in 39 projects
• 42. ExcelFile()    
  Used in 39 projects
• 43. datetime()    
  Used in 35 projects
• 44. pivot_table()    
  Used in 34 projects
• 45. read_parquet()    
  Used in 32 projects
• 46. Panel()    
  Used in 31 projects
• 47. factorize()    
  Used in 29 projects
• 48. read_fwf()    
  Used in 28 projects
• 49. Period()    
  Used in 26 projects
• 50. rolling_mean()    
  Used in 26 projects
• 51. Grouper()    
  Used in 26 projects
• 52. value_counts()    
  Used in 24 projects
• 53. IndexSlice()    
  Used in 23 projects
• 54. Int64Index()    
  Used in 23 projects
• 55. to_pickle()    
  Used in 22 projects
• 56. period_range()    
  Used in 22 projects
• 57. PeriodIndex()    
  Used in 22 projects
• 58. get_option()    
  Used in 19 projects
• 59. infer_freq()    
  Used in 19 projects
• 60. read_sql_table()    
  Used in 19 projects
• 61. notna()    
  Used in 18 projects
• 62. CategoricalDtype()    
  Used in 17 projects
• 63. bdate_range()    
  Used in 17 projects
• 64. read_feather()    
  Used in 17 projects
• 65. TimedeltaIndex()    
  Used in 16 projects
• 66. merge_asof()    
  Used in 16 projects
• 67. Interval()    
  Used in 14 projects
• 68. ewma()    
  Used in 13 projects
• 69. read_gbq()    
  Used in 13 projects
• 70. SparseDataFrame()    
  Used in 13 projects
• 71. Float64Index()    
  Used in 13 projects
• 72. read_stata()    
  Used in 12 projects
• 73. dataframe()    
  Used in 12 projects
• 74. read_msgpack()    
  Used in 12 projects
• 75. reset_option()    
  Used in 12 projects
• 76. timedelta_range()    
  Used in 12 projects
• 77. Int64Dtype()    
  Used in 12 projects
• 78. CategoricalIndex()    
  Used in 11 projects
• 79. SparseSeries()    
  Used in 11 projects
• 80. wide_to_long()    
  Used in 11 projects
• 81. eval()    
  Used in 11 projects
• 82. read_clipboard()    
  Used in 10 projects
• 83. plotting()    
  Used in 10 projects
• 84. rolling_std()    
  Used in 9 projects
• 85. TimeGrouper()    
  Used in 9 projects
• 86. testing()    
  Used in 9 projects
• 87. DataFrames()    
  Used in 9 projects
• 88. NA    
  Used in 9 projects
• 89. compat()    
  Used in 9 projects
• 90. series()    
  Used in 8 projects
• 91. interval_range()    
  Used in 8 projects
• 92. SparseDtype()    
  Used in 8 projects
• 93. merge_ordered()    
  Used in 8 projects
• 94. IntervalIndex()    
  Used in 8 projects
• 95. SparseArray()    
  Used in 8 projects
• 96. rolling_max()    
  Used in 7 projects
• 97. StringDtype()    
  Used in 7 projects
• 98. json_normalize()    
  Used in 7 projects
• 99. scatter_matrix()    
  Used in 7 projects
• 100. errors()    
  Used in 7 projects
• 101. UInt64Index()    
  Used in 7 projects
• 102. read_sas()    
  Used in 7 projects
• 103. lreshape()    
  Used in 6 projects
• 104. pivot()    
  Used in 6 projects
• 105. DatetimeTZDtype()    
  Used in 6 projects
• 106. __file__()    
  Used in 6 projects
• 107. ols()    
  Used in 6 projects
• 108. array()    
  Used in 6 projects
• 109. offsets()    
  Used in 6 projects
• 110. rolling_min()    
  Used in 5 projects
• 111. api()    
  Used in 5 projects
• 112. Int32Dtype()    
  Used in 5 projects
• 113. groupby()    
  Used in 5 projects
• 114. to_csv()    
  Used in 5 projects
• 115. PeriodDtype()    
  Used in 5 projects
• 116. _np_version_under1p13()    
  Used in 5 projects
• 117. NamedAgg()    
  Used in 5 projects