Will immediately Incorporate
df.assign(lambda x: x.px * 2) # x is the DataFrame magically this will save us mucho codedf.loc[df.index.get_level_values(1) == 'donger'] can be df.loc[pd.IndexSlice[:,'donger'],]ser.sort_values(ascending=False).head() can be ser.nlargest(5). nsmallest also exists.df.add_suffix is built into pandasdf.dropna(thresh=4) If at least thresh items are missing, the row is dropped.
pd.TimeGrouper('H')ser.str.extract # the str namespace is super rich and I underuse itgb.rolling.agg(func) namespace # its a method!df.select_dtypes(include=[np.number]) vs. Vadym's df.convert_objects(convert_numeric=True))X = pd.get_dummies(X, drop_first=True)df.fillna(value=df.median())
g = sns.FacetGrid(df, row='cut', aspect=4, size=1.76, margin_titles=True)
g.map(sns.kdeplot, 'price', shade=True, color='k')
sns.countplot basically same as sns.barplot but sorted.sns.pairplot(df, hue=hue)Type Loggers
lowess line #
Issue: sending func to rename does not work how I expect on MultiIndex >>> df = pd.DataFrame({'x1': [1,2,3], 'x': [4,5,6]})
>>> df.columns= pd.MultiIndex.from_tuples([('a', x) for x in df.columns])
>>> df.columns.map(lambda x: '_'.join(x)) # this is the result I expect
=> ['a_x1' 'a_x2']
>>> df.rename(columns=lambda x: '_'.join(x)).columns.tolist() # this only accesses level 1
=> [('a', 'x_1'), ('a', 'x_2')]
>>> df.rename_axis(lambda x: '_'.join(x), axis=1).columns.tolist() # similarly ineffectual
=> [('a', 'x_1'), ('a', 'x_2')]
