Exemplos de ReadClass.long_name em Python

Exemplo n.º 1

Arquivo: time_series_enstrophy.py Projeto: onuki0218/spectral-model-2D

reader = ReadClass()
remote_data = reader.data_PID(setting_name)
reader.set_ssh(remote_data=remote_data)
reader.read_setting(setting_name)
reader.read_file_number(ssh_flag=True)

budget = reader.read_budget(number_time=420, ssh_flag=False)
columns = [
    'T', 'E', 'E-first', 'E-diag', 'E-lower', 'E-upper', 'Q2', 'Q2-first',
    'Q2-diag', 'Q2-lower', 'Q2-upper', 'PE'
]
df = pd.DataFrame(data=budget, columns=columns)
df = df.set_index('T')

for col in df.columns.tolist():
    df = df.rename(columns={col: reader.long_name(col)})
df['Q2-others'] = df[reader.long_name('Q2')] - df[reader.long_name('Q2-first')]
df['Q2-others-mean'] = df['Q2-others'] / (reader.N - 1)

df.plot(
    y=[reader.long_name('Q2-first'),
       reader.long_name('E-first'), 'Q2-others'],
    # reader.long_name('Q2-lower'),
    # reader.long_name('Q2-upper')],
    logy=True,
    # xlim=xlim,
    # ylim=ylim
    figsize=(9, 3))
plt.savefig(figure_dir + 'Enstrophy_total' + setting_name + '.eps')

plt.show()

Exemplo n.º 2

Arquivo: time_series.py Projeto: onuki0218/spectral-model-2D

reader = ReadClass()
remote_data = reader.data_PID(setting_name)
reader.set_ssh(remote_data=remote_data)
reader.read_setting(setting_name)
reader.read_file_number(ssh_flag=True)

budget = reader.read_budget(number_time=420, ssh_flag=True)
columns = [
    'T', 'E', 'E-first', 'E-diag', 'E-lower', 'E-upper', 'Q2', 'Q2-first',
    'Q2-diag', 'Q2-lower', 'Q2-upper', 'PE'
]
df = pd.DataFrame(data=budget, columns=columns)
df = df.set_index('T')

for col in df.columns.tolist():
    df = df.rename(columns={col: reader.long_name(col)})
df['E-others'] = df[reader.long_name('E')] - df[reader.long_name('E-first')]

df.plot(
    y=[
        reader.long_name('E'),
        reader.long_name('E-first'), 'E-others',
        reader.long_name('E-lower'),
        reader.long_name('E-upper')
    ],
    # logy=True,
    # xlim=xlim,
    ylim=[0, df[reader.long_name('E')].max() * 1.1],
    figsize=(9, 3))
plt.savefig(figure_dir + 'Energy_' + setting_name + '.eps')

Exemplo n.º 3

Arquivo: time_series_2.py Projeto: onuki0218/spectral-model-2D

reader = ReadClass()
remote_data = reader.data_PID(setting_name)
reader.set_ssh(remote_data=remote_data)
reader.read_setting(setting_name)
reader.read_file_number(ssh_flag=True)

budget = reader.read_budget()
columns = [
    'T', 'E', 'E-diag', 'E-lower', 'E-upper', 'Q2', 'Q2-diag', 'Q2-lower',
    'Q2-upper', 'PE'
]
df = pd.DataFrame(data=budget, columns=columns)
df = df.set_index('T')

for col in df.columns.tolist():
    df = df.rename(columns={col: reader.long_name(col)})

df.plot(
    y=[
        reader.long_name('E'),
        reader.long_name('E-diag'),
        reader.long_name('E-lower'),
        reader.long_name('E-upper')
    ],
    # logy=True,
    figsize=(9, 3)
    # xlim=xlim,
    # ylim=ylim
)
plt.savefig(figure_dir + 'Energy' + setting_name + '.eps')

Exemplo n.º 4

ylim = [0.0028, 0.003]

reader = ReadClass()
remote_data = reader.data_PID(setting_name)
reader.set_ssh(remote_data=remote_data)
reader.read_setting(setting_name)
reader.read_file_number(ssh_flag=True)

budget = reader.read_budget(number_time=118, ssh_flag=True)
columns = ['T', 'E', 'E-diag', 'E-lower', 'E-upper',
           'Q2', 'Q2-diag', 'Q2-lower', 'Q2-upper', 'PE']
df = pd.DataFrame(data=budget, columns=columns)
df = df.set_index('T')

for col in df.columns.tolist():
    df = df.rename(columns={col: reader.long_name(col)})

df.plot(y=[reader.long_name('E')],
           # reader.long_name('E-diag'),
           # reader.long_name('E-lower'),
           # reader.long_name('E-upper')],
        # logy=True,
        # xlim=xlim,
        # ylim=ylim,
        figsize=(9, 3)
)
plt.savefig(figure_dir + 'Energy' + setting_name + '.eps')

plt.show()
plt.close()