import numpy as np import pandas as pd np.random.seed(1) import datetime today datetime.date.today0 someday = datetime.date(2016, 1, 1) diff = today - someday rows, cols = diff.days,6 data =...

import numpy as np<br>import pandas as pd<br>np.random.seed(1)<br>import datetime<br>today datetime.date.today0<br>someday = datetime.date(2016, 1, 1)<br>diff = today - someday<br>rows, cols = diff.days,6<br>data = np.random.rand(rows,cols)<br>tidx = pd.date_range(2016-01-01', periods=rows, freq=

Extracted text: import numpy as np import pandas as pd np.random.seed(1) import datetime today datetime.date.today0 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- Show the first 30 rows of your data (Using a pandas data frame function0

Jun 05, 2022

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import numpy as np import pandas as pd np.random.seed(1) import datetime today datetime.date.today0 someday = datetime.date(2016, 1, 1) diff = today - someday rows, cols = diff.days,6 data =...

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