Data Frame: import numpy as np import pandas as pd np.random.seed(1) import datetime today = datetime.date.today() someday = datetime.date(2016, 1, 1) diff =  today - someday rows,cols = diff.days,6 data = np.random.rand(rows,cols)  tidx = pd.date_range('2016-01-01', periods=rows, freq='D') data_frame = pd.DataFrame(data, columns=['a','b','c','d','e','f'], index=tidx) print(data_frame)   Question - Calculate the cumulative sum of the Data frame (using the .cumsum() function) andstore it in a new data frame called: df_accumulate. Display the first five rows of your data to verifythe values.

Complete the docstring using the information attached (images):def upgrade_stations(threshold: int, num_bikes: int,                     stations: List["Station"]) -> int:    """Modify each station in stations that has a capacity that is less than    threshold by adding num_bikes to the capacity and bikes available counts.    Modify each station at most once.     Return the total number of bikes that were added to the bike share network.     Precondition: num_bikes >= 0     >>> handout_copy = [HANDOUT_STATIONS[0][:], HANDOUT_STATIONS[1][:]]    >>> upgrade_stations(25, 5, handout_copy)    5    >>> handout_copy[0] == HANDOUT_STATIONS[0]    True    >>> handout_copy[1] == [7001, 'Lower Jarvis St SMART / The Esplanade', \                            43.647992, -79.370907, 20, 10, 10]    True    """