When I try to import pandas I get the following error:
ImportError: cannot import name 'maybe_downcast_numeric'
The full traceback down bellow:
ImportError Traceback (most recent call last)
<ipython-input-1-2f8ac4e49576> in <module>()
----> 1 import pandas as pd
2 # import time
3 # import seaborn as sns
4 # import matplotlib.pyplot as plt
5 # import datetime
D:\Anaconda3\envs\tensorflow\lib\site-packages\pandas\__init__.py in <module>()
40 import pandas.core.config_init
41
---> 42 from pandas.core.api import *
43 from pandas.core.sparse.api import *
44 from pandas.stats.api import *
D:\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\api.py in <module>()
8 from pandas.core.dtypes.missing import isnull, notnull
9 from pandas.core.categorical import Categorical
---> 10 from pandas.core.groupby import Grouper
11 from pandas.io.formats.format import set_eng_float_format
12 from pandas.core.index import (Index, CategoricalIndex, Int64Index,
D:\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\groupby\__init__.py in <module>()
----> 1 from pandas.core.groupby.generic import DataFrameGroupBy, NamedAgg, SeriesGroupBy
2 from pandas.core.groupby.groupby import GroupBy
3 from pandas.core.groupby.grouper import Grouper
4
5 __all__ = [
D:\Anaconda3\envs\tensorflow\lib\site-packages\pandas\core\groupby\generic.py in <module>()
34 from pandas.util._decorators import Appender, Substitution
35
---> 36 from pandas.core.dtypes.cast import (
37 maybe_convert_objects,
38 maybe_downcast_numeric,
ImportError: cannot import name 'maybe_downcast_numeric'
I didn't find any reference for this error. I did install it through Anaconda prompt. I believe, as I start tracing back my every step, I start having this problem after I installed seaborn with
conda install seaborn
and during the installation, without reading, was smashing the Y button, when it asked to install additional packages. I saw, it included pandas package too. Maybe this is the case ? Innitially, long time ago I guess I've installed pandas with
pip install pandas
How could I fix this error less painfully rather than reinstalling everything from scratch?