CoCalc -- pandas-in-jupyter.ipynb

Math 152 - Winter 2017

lectures / 2017-02-13 / pandas-in-jupyter.ipynb

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Kernel: Python 2 (SageMath)

In [1]:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

In [4]:

s = pd.Series([1,3,5,np.nan,7,9])
s

Out[4]:

  1.0
  3.0
  5.0
  NaN
  7.0
  9.0
dtype: float64

In [3]:

dates = pd.date_range('20130101', periods=6)
dates

Out[3]:

DatetimeIndex(['2013-01-01', '2013-01-02', '2013-01-03', '2013-01-04',
               '2013-01-05', '2013-01-06'],
              dtype='datetime64[ns]', freq='D')

In [4]:

df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))
df

Out[4]:

In [0]:

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