Contents:
Exploring Dataset
pd_read_csv -os_getcwd -os_chdir -df_columns -df_head -df_tail -df_info -df_describe -df_transpose,df_describe_transpose -df_slice → df[0:4] -df_reverse → df[::-1] -df_every_n_element → df[::20] -df_drop
df[['col1', 'col2']].head()
df.col1.head()
df[2:4][['col1', 'col2']]Filtering dataset
age_filter = df.Age < 18
df[filter]
age_internet_filter = (df.Age < 18) & (df.internet_user === True)
df[age_internet_filter]
df.name.unique()
df.at[2, 'Age']seaborn
import seaborn as sns
import warnings
warnings.filterwarnings('ignore')
%matplotlib inline
vsv = sns.distplot(df['Age'])