Functions

df.colName.function()
# function varients listed below

Drop

.dropna(inplace = True) - drops rows with missing values

.dropna(axis = 1) - drops columns with missing values

Count

.value_counts() - counts number of True and False Values

NULL

.fillna(value, inplace = True) - replaces NULL values with value

.isna() - checks for NaN, returns True and False DataFrame

.isnull() - checks for NULL, returns True and False DataFrame

missing_values = ["n.a.","?","NA","n/a", "na", "--"]

df = pd.read_csv(url, na_values = missing_values)