reset_option(key)
reset_option
Reset one option to their default value.
get_option(key[, default])
get_option
Retrieves the value of the specified option.
set_option(key, value)
set_option
Sets the value of the specified option.
option_context(*args)
option_context
Context manager to temporarily set options in the with statement context.
melt(frame[, id_vars, value_vars, var_name, …])
melt
Unpivot a DataFrame from wide format to long format, optionally leaving identifier variables set.
merge(obj, right[, how, on, left_on, …])
merge
Merge DataFrame objects with a database-style join.
get_dummies(data[, prefix, prefix_sep, …])
get_dummies
Convert categorical variable into dummy/indicator variables, also known as one hot encoding.
concat(objs[, axis, join, ignore_index, sort])
concat
Concatenate pandas-on-Spark objects along a particular axis with optional set logic along the other axes.
sql(query[, index_col, globals, locals])
sql
Execute a SQL query and return the result as a pandas-on-Spark DataFrame.
broadcast(obj)
broadcast
Marks a DataFrame as small enough for use in broadcast joins.
to_numeric(arg)
to_numeric
Convert argument to a numeric type.
isna(obj)
isna
Detect missing values for an array-like object.
isnull(obj)
isnull
notna(obj)
notna
Detect existing (non-missing) values.
notnull(obj)
notnull
to_datetime(arg[, errors, format, unit, …])
to_datetime
Convert argument to datetime.
date_range([start, end, periods, freq, tz, …])
date_range
Return a fixed frequency DatetimeIndex.