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.
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.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
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 <DataFrame>.cumsum() function) andstore it in a new data frame called: df_accumulate. Display the first five rows of your data to verifythe values.
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