General functions

Data manipulations

cut(x, bins[, right, labels, retbins, …])

Bin values into discrete intervals.

concat(objs[, axis, join, ignore_index, …])

melt(frame[, id_vars, value_vars, var_name, …])

Unpivot a DataFrame from wide to long format, optionally leaving identifiers set.

merge(df, right[, how, on, left_on, …])

Top-level missing data

isna(df)

Detect missing values.

isnull(df)

Detect missing values.

notna(df)

Detect existing (non-missing) values.

notnull(df)

Detect existing (non-missing) values.

Top-level dealing with datetimelike

to_datetime(arg[, errors, dayfirst, …])

Convert argument to datetime.

date_range([start, end, periods, freq, tz, …])

Return a fixed frequency DatetimeIndex.