import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.randn(4000, 4), index=pd.date_range('1/1/2000', periods=4000), columns=list('ABCD'))

df.head()

import numpy as np
import pandas as pd

df = pd.DataFrame(np.random.randn(100, 4), index=pd.date_range('1/1/2000', periods=100), columns=list('ABCD'))

df.head()

# https://seaborn.pydata.org/generated/seaborn.lineplot.html
# https://rajacsp.github.io/mlnotes/python/data-wrangling/food_points/

import seaborn as sns

flights = sns.load_dataset("flights")
flights.head()

# https://seaborn.pydata.org/installing.html
# https://stackabuse.com/seaborn-line-plot-tutorial-and-examples/

!pip show seaborn | grep "Version:"

Version: 0.13.2

# !pip install seaborn

import matplotlib.pyplot as plt
import seaborn as sns

sns.set_theme(style="darkgrid")

x = [
    0,
    220,
    380,
    500,
    540,
    540,
    590
]

sns.lineplot(x)
plt.show()

import pandas …

import matplotlib.pyplot as plt
import numpy as np

N = 128
x = np.linspace(-5, 5, N)
y = np.exp(-x**2)

y_fft = np.fft.fftshift(np.fft.fft(y).real)
plt.plot(x, y_fft)

plt …

!pip show matplotlib | grep "Version:"

Version: 3.9.3

# !pip install matplotlib

import matplotlib.pyplot as plt

x = [1, 2, 3, 4]

y = [50, 40, 80, 40]

x, y

([1, 2, 3, 4], [50, 40, 80, 40])

plt.plot(x, y, 'ro')

plt.axis([0, 10, 20, 100])

(0.0 …

import numpy as np
import matplotlib.pylab as plt

x = np.arange(20, 29)

print(x)

[20 21 22 23 24 25 26 27 28]

y = np.sin(x)

print(y)

[ 0.91294525  0.83665564 -0 …

import matplotlib.pyplot as plt

python_course_green = "#476042"
plt.figure(figsize=(6, 4))
plt.subplot(221) # equivalent to: plt.subplot(2, 2, 1)

<matplotlib.axes._subplots.AxesSubplot at 0x11365e1d0>

plt.text(0.5, # x coordinate, 0 …