"""
Demo of scatter plot with varying marker colors and sizes.
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook

# Load a numpy record array from yahoo csv data with fields date,
# open, close, volume, adj_close from the mpl-data/example directory.
# The record array stores python datetime.date as an object array in
# the date column
datafile = cbook.get_sample_data('goog.npy')
try:
    # Python3 cannot load python2 .npy files with datetime(object) arrays
    # unless the encoding is set to bytes. However this option was
    # not added until numpy 1.10 so this example will only work with
    # python 2 or with numpy 1.10 and later
    price_data = np.load(datafile, encoding='bytes').view(np.recarray)
except TypeError:
    price_data = np.load(datafile).view(np.recarray)
price_data = price_data[-250:]  # get the most recent 250 trading days

delta1 = np.diff(price_data.adj_close)/price_data.adj_close[:-1]

# Marker size in units of points^2
volume = (15 * price_data.volume[:-2] / price_data.volume[0])**2
close = 0.003 * price_data.close[:-2] / 0.003 * price_data.open[:-2]

fig, ax = plt.subplots()
ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5)

ax.set_xlabel(r'$\Delta_i$', fontsize=15)
ax.set_ylabel(r'$\Delta_{i+1}$', fontsize=15)
ax.set_title('Volume and percent change')

ax.grid(True)
fig.tight_layout()

plt.show() 

　

M:\______\scatter_demo2.py:12: MatplotlibDeprecationWarning: 
  In a future release, get_sample_data will automatically load numpy arrays.  
  Set np_load to True to get the array and suppress this warning.  
  Set asfileobj to False to get the path to the data file and suppress this warning.
  datafile = cbook.get_sample_data('goog.npy')
Traceback (most recent call last):
  File "M:\______\scatter_demo2.py", line 12, in 
    datafile = cbook.get_sample_data('goog.npy')
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \site-packages\matplotlib\cbook\__init__.py", line 541, in get_sample_data
    return path.open('rb')
           ^^^^^^^^^^^^^^^
  File "C:\Users\______\AppData\Local\Programs\Python\Python311\Lib
    \pathlib.py", line 1044, in open
    return io.open(self, mode, buffering, encoding, errors, newline)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: 
'C:\\Users\\kamif\\AppData\\Local\\Programs\\Python\\Python311\\Lib
         \\site-packages\\matplotlib\\mpl-data\\sample_data\\goog.npy' 

Traceback (most recent call last):
  File "E:\______\scatter_demo2.py", line 12, in 
    datafile = cbook.get_sample_data('goog.npy')
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\_api\deprecation.py", 
    line 384, in wrapper
    return func(*inner_args, **inner_kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\Python312\Lib\site-packages\matplotlib\cbook.py", 
    line 528, in get_sample_data
    return np.load(path)
           ^^^^^^^^^^^^^
  File "C:\Users\kamif\AppData\Roaming\Python\Python312\site-packages\numpy\lib\npyio.py", 
    line 427, in load
    fid = stack.enter_context(open(os_fspath(file), "rb"))
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: 
'C:\\Program Files\\Python312\\Lib\\site-packages\\matplotlib\\mpl-data\\sample_data\\goog.npy' 

"""
=============
Scatter Demo2
=============

Demo of scatter plot with varying marker colors and sizes.
"""
import matplotlib.pyplot as plt
import numpy as np

import matplotlib.cbook as cbook

# Load a numpy record array from yahoo csv data with fields date, open, high,
# low, close, volume, adj_close from the mpl-data/sample_data directory. The
# record array stores the date as an np.datetime64 with a day unit ('D') in
# the date column.
price_data = cbook.get_sample_data('goog.npz')['price_data']
price_data = price_data[-250:]  # get the most recent 250 trading days

delta1 = np.diff(price_data["adj_close"]) / price_data["adj_close"][:-1]

# Marker size in units of points^2
volume = (15 * price_data["volume"][:-2] / price_data["volume"][0])**2
close = 0.003 * price_data["close"][:-2] / 0.003 * price_data["open"][:-2]

fig, ax = plt.subplots()
ax.scatter(delta1[:-1], delta1[1:], c=close, s=volume, alpha=0.5)

ax.set_xlabel(r'$\Delta_i$', fontsize=15)
ax.set_ylabel(r'$\Delta_{i+1}$', fontsize=15)
ax.set_title('Volume and percent change')

ax.grid(True)
fig.tight_layout()

plt.show() 

M:\______\scatter_demo2_2.py:17: MatplotlibDeprecationWarning: 
  In a future release, get_sample_data will automatically load numpy arrays.  
  Set np_load to True to get the array and suppress this warning.  
  Set asfileobj to False to get the path to the data file and suppress this warning.
  price_data = cbook.get_sample_data('goog.npz')['price_data']
Traceback (most recent call last):
  File "M:\______\scatter_demo2_2.py", line 17, in 
    price_data = cbook.get_sample_data('goog.npz')['price_data']
                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^
TypeError: '_io.BufferedReader' object is not subscriptable 

Python 3.12.0 (matplotlib 3.8.1) では、正常実行です。

　

• 2023/12/05 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
• 2023/12/05 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
• 2023/04/03 Ver=1.04 Python 3.11.2 で確認
• 2020/11/01 Ver=1.01 Python 3.7.8 で確認
• 2018/12/04 Ver=1.01 初版リリース

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