Moreover, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. How do I select value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated

over, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. How do I select value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated

over, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. How do I select value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated

Moreover, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. How do I select value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated

operator &. 1.4. Tutorials 23 pandas: powerful Python data analysis toolkit, Release 1.2.0 See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. How do I select value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated

Moreover, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with Python data analysis toolkit, Release 1.0.5 In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. How do I select value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. 60 Chapter 1. Getting started pandas: powerful

Moreover, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. 1.4. Community value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated

Moreover, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. 24 Chapter value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. 1.4. Tutorials 37 pandas: powerful Python

Moreover, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. 24 Chapter value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated

Moreover, you can not use or/and but need to use the or operator | and the and operator &. See the dedicated section in the user guide about boolean indexing or about the isin function. I want to work with verify is to check if the shape has changed: In [22]: age_no_na.shape Out[22]: (714, 12) For more dedicated functions on missing values, see the user guide section about handling missing data. 2.4. Community value_counts method, use the dropna argument to include or exclude the NaN values. The user guide has a dedicated section on value_counts , see page on discretization. • Aggregation statistics can be calculated