Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

pandas 0.23.0 change to types #11

Merged
merged 1 commit into from
May 24, 2018
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions pandas_summary/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
import numpy as np
import pandas as pd
from pandas.core import common
from pandas.api import types


class DataFrameSummary(object):
Expand Down Expand Up @@ -109,10 +110,10 @@ def _get_columns_info(self, stats):
self.EXCLUDE,
column_info['constant'].union(column_info['bool']))
column_info[self.TYPE_NUMERIC] = pd.Index([c for c in rest_columns
if common.is_numeric_dtype(self.df[c])])
if types.is_numeric_dtype(self.df[c])])
rest_columns = self.get_columns(self.df[rest_columns], self.EXCLUDE, column_info['numeric'])
column_info[self.TYPE_DATE] = pd.Index([c for c in rest_columns
if common.is_datetime64_dtype(self.df[c])])
if types.is_datetime64_dtype(self.df[c])])
rest_columns = self.get_columns(self.df[rest_columns], self.EXCLUDE, column_info['date'])
unique_columns = stats['uniques'][rest_columns] == stats['counts'][rest_columns]
column_info[self.TYPE_UNIQUE] = stats['uniques'][rest_columns][unique_columns].index
Expand Down