FINC-241 Lecture Notes - Lecture 4: Matplotlib, Serif

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In [1]: from pylab import plt plt. style. use("seaborn") import matplotlib as mpl mpl. rcparams["font. family"] = "serif" In [2]: import numpy as np import pandas as pd. In [3]: df = pd. dataframe([10, 20, 30, 40], columns=["numbers"], index=["a", "b", "c", "d"]) df. In [12]: df["floats"] = (1. 5, 2. 5, 3. 5, 4. 5) df. In [14]: df["names"] = pd. dataframe(["yves", "guido", "felix", "francesc"], index=["d", Out[14]: numbers floats names a b c d. In [15]: df. append({"numbers": 100, "floats": 5. 75, "names": "henry"},ignore_index=true. In [16]: df = df. append(pd. dataframe({"numbers": 100, "floats": 5. 75,"names": "henry"}, index=["z"]),sort=false) df. Out[16]: numbers floats names a b c d z. In [17]: df. join(pd. dataframe([1, 4, 9, 16, 25],index=["a", "b", "c", "d", "y"],columns. Out[17]: numbers floats names squares a b c d z. In [18]: df = df. join(pd. dataframe([1, 4, 9, 16, 25],index=["a", "b", "c", "d", "y"],co lumns=["squares",]),how="outer") df. Out[18]: numbers floats names squares a b c d y z. In [23]: df. columns = ["no1", "no2", "no3", "no4"] df. In [25]: dates = pd. date_range("2015-1-1", periods=9, freq="m") dates.

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