import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.close('all')
ts = pd.Series(np.random.randn(1000),
index=pd.date_range('1/2/2000',
periods=1000))
ts = ts.cumsum()
ts.plot()
df = pd.DataFrame(np.random.randn(1000, 4),
index=ts.index, columns=list('ABCD'))
df = df.cumsum()
plt.figure()
df.plot()
df3 = pd.DataFrame(np.random.randn(1000, 2),
columns=list('BC')).cumsum()
df3['A'] = pd.Series(list(range(len(df))))
df3.plot(x='A', y='B')
plt.figure()
df.iloc[5].plot(kind='bar')
plt.figure()
df.iloc[5].plot.bar()
df.iloc[5].plot.area()
df.iloc[5].plot.barh()
df.iloc[5].plot.box()
df.iloc[5].plot.density()
df.iloc[5].plot.hist()
df.iloc[5].plot.kde()
df.iloc[5].plot.line()
df.iloc[5].plot.scatter()
df.iloc[5].plot.bar()
plt.axhline(0, color='k')
df2 = pd.DataFrame(np.random.rand(10, 4), columns=list('abcd'))
df2.plot.bar()
df2.plot.bar(stacked=True)
df2.plot.barh()
df2.plot.barh(stacked=True)
df4 = pd.DataFrame({'a':np.random.randn(1000) + 1,
'b':np.random.randn(1000),
'c':np.random.randn(1000)
},columns=list('abcd'))
plt.figure()
df4.plot.hist()
df4.plot.hist(alpha=0.5)
df4.plot.hist(stacked=True, bins=20)
df4.plot.hist(stacked=True)
df4.plot.hist(stacked=True, bins=20)
df4['a'].plot.hist(orientation='horizontal',
cumulative=True)
df4['a'].plot.hist()
df4['a'].plot.hist(orientation='horizontal')
df['A'].diff().hist()
df['A']
df['A'].diff()
df.diff().hist(color='k', alpha=0.5, bins=50)
data = pd.Series(np.random.randn(1000))
data.hist(by=np.random.randint(0, 4, 1000), figsize=(6, 4))
data.hist(by=np.random.randint(0, 4, 1000), figsize=(6, 4), alpha=0.5)
df = pd.DataFrame(np.random.rand(10, 5), columns=list('ABCDE'))
df.plot.box()
color = {'boxes':'DarkGreen', 'whiskers':'DarkOrange',
'medians': 'DarkBlue', 'caps':'Gray'}
df.plot.box(color=color, sym='r+')
df.plot.box()
df.plot.box(vert=False)
df.plot.box(vert=False, positions=[1, 4, 5, 6, 8])
df = pd.DataFrame(np.random.rand(10, 5))
plt.figure()
bp = df.boxplot()
df = pd.DataFrame(np.random.rand(10, 2), columns=['Col1', 'Col2'])
df['X'] = pd.Series(list('AAAAABBBBB'))
plt.figure()
bp = df.boxplot()
bp = df.boxplot(by='X')
df = pd.DataFrame(np.random.rand(10, 3), columns=['Col1', 'Col2', 'Col3'])
df['X'] = pd.Series(list('AAAAABBBBB'))
df['Y'] = pd.Series(list('ABABABABAB'))
plt.figure()
bp = df.boxplot(column=['Col1', 'Col2'], by=list('XY'))
np.random.seed(1234)
df_box = pd.DataFrame(np.random.randn(50, 2))
df_box['g'] = np.random.choice(list('AB'), size=50)
df_box.loc[df_box['g'] == 'B', 1] += 3
bp = df_box.boxplot(by='g')
bp = df_box.groupby('g').boxplot()
df = pd.DataFrame(np.random.rand(10, 4), columns=list('abcd'))
df.plot.area()
df.plot.area(stacked=False)
df.plot.area(stacked=False, alpha=0.5)
df = pd.DataFrame(np.random.rand(50, 4), columns=list('abcd'))
df.plot.scatter(x='a', y='b')
ax = df.plot.scatter(x='a', y='b', color='DarkBlue', label='Group 1')
df.plot.scatter(x='c', y='d', color='DarkGreen', label='Group 2', ax=ax)
df.plot.scatter(x='a', y='b', c='c', s=50)
df.plot.scatter(x='a', y='b', s=df['c']*2000)
df = pd.DataFrame(np.random.randn(1000, 2), columns=list('ab'))
df['b'] = df['b'] + np.arange(1000)
df.plot.hexbin(x='a', y='b', gridsize=25)
df = pd.DataFrame(np.random.randn(1000, 2), columns=list('ab'))
df['b'] = df['b'] + np.arange(1000)
df['z'] = np.random.uniform(0, 3, 1000)
df.plot.hexbin(x='a', y='b', C='z', reduce_C_function=np.max, gridsize=25)
series = pd.Series(3 * np.random.rand(4),
index=list('abcd'), name='series')
series.plot.pie(figsize=(6, 6))
df = pd.DataFrame(3 * np.random.rand(4, 2),
index=list('abcd'), columns=list('xy'))
df.plot.pie(subplots=True, figsize=(8, 4))
