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# %matplotlib inline
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import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
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df = pd.read_csv('data/src/iris.csv', index_col=0)
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print(df.head())
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plt.figure()
df.plot()
plt.savefig('data/dst/pandas_iris_line.png')
plt.close('all')
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print(type(df.plot()))
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fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
df.plot(ax=ax)
fig.savefig('data/dst/pandas_iris_line.png')
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fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(9, 6))
df.plot(ax=axes[0, 0], legend=False)
df.plot(ax=axes[1, 2], legend=False, kind='hist')
fig.savefig('data/dst/pandas_iris_line_axes.png')
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current_figsize = mpl.rcParams['figure.figsize']
print(current_figsize)
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plt.figure()
df.plot(figsize=(9, 6))
plt.savefig('data/dst/pandas_iris_line_figsize.png')
plt.close('all')
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current_dpi = mpl.rcParams['figure.dpi']
print(current_dpi)
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plt.figure()
df.plot()
plt.savefig('data/dst/pandas_iris_line_dpi.png', dpi=current_dpi * 1.5)
plt.close('all')
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plt.figure()
df.plot(subplots=True)
plt.savefig('data/dst/pandas_iris_line_subplots.png')
plt.close('all')
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print(type(df.plot(subplots=True)))
print(type(df.plot(subplots=True)[0]))
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plt.figure()
df.plot(subplots=True, layout=(2, 2))
plt.savefig('data/dst/pandas_iris_line_subplots_layout.png')
plt.close('all')
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plt.figure()
df.plot(subplots=True, layout=(2, 2),
sharex=True, sharey=True)
plt.savefig('data/dst/pandas_iris_line_subplots_share.png')
plt.close('all')
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plt.figure()
df.plot(x='sepal_length', y='sepal_width')
plt.savefig('data/dst/pandas_iris_line_xy.png')
plt.close('all')
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plt.figure()
df.plot(x='sepal_length')
plt.savefig('data/dst/pandas_iris_line_x.png')
plt.close('all')
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plt.figure()
df.plot(y='sepal_length')
plt.savefig('data/dst/pandas_iris_line_y.png')
plt.close('all')
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# df.plot(y=['sepal_length', 'sepal_width'])
# UserWarning: Pandas doesn't allow columns to be created via a new attribute name
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plt.figure()
ax = df.plot(y='sepal_length')
df.plot(y='sepal_width', ax=ax)
plt.savefig('data/dst/pandas_iris_line_multi.png')
plt.close('all')
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plt.figure()
df[['sepal_length', 'sepal_width']].plot()
plt.savefig('data/dst/pandas_iris_line_multi.png')
plt.close('all')
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plt.figure()
df.plot(title='Iris Data Set',
grid=True,
colormap='Accent',
legend=False,
alpha=0.5)
plt.savefig('data/dst/pandas_iris_line_etc.png')
plt.close('all')
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plt.figure()
df.plot(kind='line')
plt.savefig('data/dst/pandas_iris_line.png')
plt.close('all')
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plt.figure()
df.plot.line()
plt.savefig('data/dst/pandas_iris_line.png')
plt.close('all')
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plt.figure()
df.plot.line(subplots=True, layout=(2, 2))
plt.savefig('data/dst/pandas_iris_line_subplots_layout.png')
plt.close('all')
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plt.figure()
df.plot.line(style=['r--', 'b.-', 'g+', 'k:'])
plt.savefig('data/dst/pandas_iris_line_style.png')
plt.close('all')
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plt.figure()
df[:5].plot.bar()
plt.savefig('data/dst/pandas_iris_bar.png')
plt.close('all')
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plt.figure()
df[:5].plot.barh()
plt.savefig('data/dst/pandas_iris_barh.png')
plt.close('all')
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plt.figure()
df[:5].plot.bar(stacked=True)
plt.savefig('data/dst/pandas_iris_bar_stack.png')
plt.close('all')
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plt.figure()
df.plot.box()
plt.savefig('data/dst/pandas_iris_box.png')
plt.close('all')
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plt.figure()
df.plot.hist()
plt.savefig('data/dst/pandas_iris_hist.png')
plt.close('all')
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plt.figure()
df.plot.hist(alpha=0.5)
plt.savefig('data/dst/pandas_iris_hist_alpha.png')
plt.close('all')
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plt.figure()
df.plot.hist(stacked=True)
plt.savefig('data/dst/pandas_iris_stacked.png')
plt.close('all')
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plt.figure()
df.plot.hist(bins=20, histtype='step', orientation='horizontal')
plt.savefig('data/dst/pandas_iris_hist_h_step.png')
plt.close('all')
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plt.figure()
df.plot.kde(style=['r-', 'g--', 'b-.', 'c:'])
plt.savefig('data/dst/pandas_iris_kde.png')
plt.close('all')
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plt.figure()
df.plot.area()
plt.savefig('data/dst/pandas_iris_area.png')
plt.close('all')
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plt.figure()
df.plot.scatter(x='sepal_length', y='petal_length', alpha=0.5)
plt.savefig('data/dst/pandas_iris_scatter.png')
plt.close('all')
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plt.figure()
ax = df.plot.scatter(x='sepal_length', y='petal_length', alpha=0.5)
df.plot.scatter(x='sepal_length', y='petal_width',
marker='s', c='r', s=50, alpha=0.5, ax=ax)
plt.savefig('data/dst/pandas_iris_scatter_multi.png')
plt.close('all')
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plt.figure()
df.plot.line(x='sepal_length',
style=['ro', 'g+', 'bs'], alpha=0.5)
plt.savefig('data/dst/pandas_iris_scatter_line.png')
plt.close('all')
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plt.figure()
df.plot.hexbin(x='sepal_length', y='petal_length',
gridsize=15, sharex=False)
plt.savefig('data/dst/pandas_iris_hexbin.png')
plt.close('all')
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df_pie = pd.DataFrame([[1, 50], [2, 20], [3, 30]],
index=['a', 'b', 'c'], columns=['ONE', 'TWO'])
print(df_pie)
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plt.figure()
df_pie.plot.pie(subplots=True)
plt.savefig('data/dst/pandas_pie.png')
plt.close('all')
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print(type(df_pie.plot.pie(subplots=True)))
print(type(df_pie.plot.pie(subplots=True)[0]))
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plt.figure()
df_pie['ONE'].plot.pie()
plt.savefig('data/dst/pandas_pie_single.png')
plt.close('all')