|
42 | 42 | # let init-time option registration happen
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43 | 43 | import pandas.core.config_init
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44 | 44 |
|
45 |
| - |
46 | 45 | from pandas.core.api import (
|
47 |
| - DataFrame, Series, array, Panel, Int64Index, Interval, |
48 |
| - IntervalIndex, Float64Index, Index, DatetimeIndex, Int64Index, |
49 |
| - MultiIndex, PeriodIndex, RangeIndex, TimedeltaIndex, |
50 |
| - CategoricalIndex, Categorical, to_datetime, to_timedelta, |
51 |
| - to_numeric, Timedelta, Timestamp, NaT, Period, isna, |
52 |
| - CategoricalDtype, PeriodDtype, DatetimeTZDtype, IntervalDtype, |
53 |
| - DateOffset, factorize, unique, value_counts, interval_range, |
54 |
| - Grouper) |
| 46 | + Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype, |
| 47 | + UInt16Dtype, UInt32Dtype, UInt64Dtype, factorize, unique, |
| 48 | + value_counts, isna, isnull, notna, notnull, CategoricalDtype, |
| 49 | + PeriodDtype, IntervalDtype, DatetimeTZDtype, Categorical, |
| 50 | + array, Grouper, set_eng_float_format, Index, CategoricalIndex, |
| 51 | + Int64Index, UInt64Index, RangeIndex, Float64Index, MultiIndex, |
| 52 | + IntervalIndex, TimedeltaIndex, DatetimeIndex, PeriodIndex, |
| 53 | + NaT, Period, period_range, Timedelta, timedelta_range, |
| 54 | + Timestamp, date_range, bdate_range, Interval, interval_range, |
| 55 | + Series, DataFrame, Panel, IndexSlice, to_numeric, DateOffset, |
| 56 | + to_datetime, to_timedelta, np) |
| 57 | + |
| 58 | +from pandas.core.sparse.api import ( |
| 59 | + SparseArray, SparseDataFrame, SparseSeries, SparseDtype) |
55 | 60 |
|
56 | 61 | from pandas.tseries.api import infer_freq
|
57 | 62 | from pandas.tseries import offsets
|
58 | 63 |
|
| 64 | +from pandas.core.computation.api import eval |
| 65 | + |
59 | 66 | from pandas.core.reshape.api import (
|
60 | 67 | concat, lreshape, melt, wide_to_long, merge, merge_asof,
|
61 | 68 | merge_ordered, crosstab, pivot, pivot_table, get_dummies,
|
62 | 69 | cut, qcut)
|
63 | 70 |
|
64 |
| -from pandas.core.computation.api import eval |
| 71 | +from pandas.util._print_versions import show_versions |
65 | 72 |
|
66 |
| -from pandas.core.sparse.api import ( |
67 |
| - SparseArray, SparseDataFrame, SparseSeries, SparseDtype) |
| 73 | +from pandas.io.api import ( |
| 74 | + read_clipboard, ExcelFile, ExcelWriter, read_excel, |
| 75 | + read_feather, read_gbq, read_html, read_json, |
| 76 | + read_msgpack, to_msgpack, read_parquet, read_csv, |
| 77 | + read_fwf, read_table, read_pickle, to_pickle, |
| 78 | + HDFStore, read_hdf, read_sas, read_sql, read_sql_query, |
| 79 | + read_sql_table, read_stata) |
68 | 80 |
|
69 |
| -from pandas.core.internals import BlockManager, _safe_reshape, make_block |
70 | 81 | from pandas.core.arrays import DatetimeArray, IntervalArray, PeriodArray
|
71 | 82 | from pandas.core.arrays.sparse import BlockIndex, IntIndex
|
72 | 83 |
|
73 |
| -from pandas._libs import join |
74 |
| - |
75 |
| -from pandas.util._print_versions import show_versions |
76 | 84 | from pandas.util._tester import test
|
77 | 85 | import pandas.testing
|
78 | 86 | import pandas.arrays
|
|
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